two version of R2R are hereHEADmaster

4 files changed, 5066 insertions, 0 deletions

diff --git a/.venv/lib/python3.12/site-packages/azure/ai/ml/_restclient/model_dataplane/models/__init__.py b/.venv/lib/python3.12/site-packages/azure/ai/ml/_restclient/model_dataplane/models/__init__.py
new file mode 100644
index 00000000..c54172db
--- /dev/null
+++ b/.venv/lib/python3.12/site-packages/azure/ai/ml/_restclient/model_dataplane/models/__init__.py
@@ -0,0 +1,179 @@
+# coding=utf-8
+# --------------------------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# Licensed under the MIT License. See License.txt in the project root for license information.
+# Code generated by Microsoft (R) AutoRest Code Generator.
+# Changes may cause incorrect behavior and will be lost if the code is regenerated.
+# --------------------------------------------------------------------------
+
+try:
+    from ._models_py3 import Artifact
+    from ._models_py3 import Asset
+    from ._models_py3 import AssetDto
+    from ._models_py3 import AssetPaginatedResult
+    from ._models_py3 import BatchGetResolvedUrisDto
+    from ._models_py3 import BatchModelPathResponseDto
+    from ._models_py3 import BlobReference
+    from ._models_py3 import BlobReferenceForConsumptionDto
+    from ._models_py3 import ContainerResourceRequirements
+    from ._models_py3 import CreateUnregisteredInputModelDto
+    from ._models_py3 import CreateUnregisteredOutputModelDto
+    from ._models_py3 import CreatedBy
+    from ._models_py3 import CreationContext
+    from ._models_py3 import DataItem
+    from ._models_py3 import DataReferenceCredentialDto
+    from ._models_py3 import DataReferences
+    from ._models_py3 import DataReferencesForConsumptionDto
+    from ._models_py3 import DatasetReference
+    from ._models_py3 import DependencyMapDto
+    from ._models_py3 import DependencyMapItemDto
+    from ._models_py3 import DependentAsset
+    from ._models_py3 import DependentEntitiesDto
+    from ._models_py3 import ErrorResponse
+    from ._models_py3 import ExtensiveModel
+    from ._models_py3 import FeedIndexEntityDto
+    from ._models_py3 import FeedIndexEntityRequestDto
+    from ._models_py3 import ImageReference
+    from ._models_py3 import ImageReferenceForConsumptionDto
+    from ._models_py3 import IndexAnnotations
+    from ._models_py3 import IndexEntity
+    from ._models_py3 import IndexProperties
+    from ._models_py3 import InnerErrorDetails
+    from ._models_py3 import IntellectualPropertyPublisherInformation
+    from ._models_py3 import ListModelsRequest
+    from ._models_py3 import Model
+    from ._models_py3 import ModelBatchDto
+    from ._models_py3 import ModelBatchResponseDto
+    from ._models_py3 import ModelContainerRequest
+    from ._models_py3 import ModelDeploymentSettings
+    from ._models_py3 import ModelListModelsRequestPagedResponse
+    from ._models_py3 import ModelPagedResponse
+    from ._models_py3 import ModelPathResponseDto
+    from ._models_py3 import ModelSchema
+    from ._models_py3 import ModelSettingsIdentifiers
+    from ._models_py3 import Operation
+    from ._models_py3 import ProviderFeedEntityRequestDto
+    from ._models_py3 import Relationship
+    from ._models_py3 import ServiceResponseBase
+    from ._models_py3 import User
+except (SyntaxError, ImportError):
+    from ._models import Artifact  # type: ignore
+    from ._models import Asset  # type: ignore
+    from ._models import AssetDto  # type: ignore
+    from ._models import AssetPaginatedResult  # type: ignore
+    from ._models import BatchGetResolvedUrisDto  # type: ignore
+    from ._models import BatchModelPathResponseDto  # type: ignore
+    from ._models import BlobReference  # type: ignore
+    from ._models import BlobReferenceForConsumptionDto  # type: ignore
+    from ._models import ContainerResourceRequirements  # type: ignore
+    from ._models import CreateUnregisteredInputModelDto  # type: ignore
+    from ._models import CreateUnregisteredOutputModelDto  # type: ignore
+    from ._models import CreatedBy  # type: ignore
+    from ._models import CreationContext  # type: ignore
+    from ._models import DataItem  # type: ignore
+    from ._models import DataReferenceCredentialDto  # type: ignore
+    from ._models import DataReferences  # type: ignore
+    from ._models import DataReferencesForConsumptionDto  # type: ignore
+    from ._models import DatasetReference  # type: ignore
+    from ._models import DependencyMapDto  # type: ignore
+    from ._models import DependencyMapItemDto  # type: ignore
+    from ._models import DependentAsset  # type: ignore
+    from ._models import DependentEntitiesDto  # type: ignore
+    from ._models import ErrorResponse  # type: ignore
+    from ._models import ExtensiveModel  # type: ignore
+    from ._models import FeedIndexEntityDto  # type: ignore
+    from ._models import FeedIndexEntityRequestDto  # type: ignore
+    from ._models import ImageReference  # type: ignore
+    from ._models import ImageReferenceForConsumptionDto  # type: ignore
+    from ._models import IndexAnnotations  # type: ignore
+    from ._models import IndexEntity  # type: ignore
+    from ._models import IndexProperties  # type: ignore
+    from ._models import InnerErrorDetails  # type: ignore
+    from ._models import IntellectualPropertyPublisherInformation  # type: ignore
+    from ._models import ListModelsRequest  # type: ignore
+    from ._models import Model  # type: ignore
+    from ._models import ModelBatchDto  # type: ignore
+    from ._models import ModelBatchResponseDto  # type: ignore
+    from ._models import ModelContainerRequest  # type: ignore
+    from ._models import ModelDeploymentSettings  # type: ignore
+    from ._models import ModelListModelsRequestPagedResponse  # type: ignore
+    from ._models import ModelPagedResponse  # type: ignore
+    from ._models import ModelPathResponseDto  # type: ignore
+    from ._models import ModelSchema  # type: ignore
+    from ._models import ModelSettingsIdentifiers  # type: ignore
+    from ._models import Operation  # type: ignore
+    from ._models import ProviderFeedEntityRequestDto  # type: ignore
+    from ._models import Relationship  # type: ignore
+    from ._models import ServiceResponseBase  # type: ignore
+    from ._models import User  # type: ignore
+
+from ._azure_machine_learning_workspaces_enums import (
+    ComputeEnvironmentType,
+    DeploymentType,
+    EntityKind,
+    ListViewType,
+    ModelFormatEnum,
+    ModelSchemaDataType,
+    OrderString,
+    WebServiceState,
+)
+
+__all__ = [
+    'Artifact',
+    'Asset',
+    'AssetDto',
+    'AssetPaginatedResult',
+    'BatchGetResolvedUrisDto',
+    'BatchModelPathResponseDto',
+    'BlobReference',
+    'BlobReferenceForConsumptionDto',
+    'ContainerResourceRequirements',
+    'CreateUnregisteredInputModelDto',
+    'CreateUnregisteredOutputModelDto',
+    'CreatedBy',
+    'CreationContext',
+    'DataItem',
+    'DataReferenceCredentialDto',
+    'DataReferences',
+    'DataReferencesForConsumptionDto',
+    'DatasetReference',
+    'DependencyMapDto',
+    'DependencyMapItemDto',
+    'DependentAsset',
+    'DependentEntitiesDto',
+    'ErrorResponse',
+    'ExtensiveModel',
+    'FeedIndexEntityDto',
+    'FeedIndexEntityRequestDto',
+    'ImageReference',
+    'ImageReferenceForConsumptionDto',
+    'IndexAnnotations',
+    'IndexEntity',
+    'IndexProperties',
+    'InnerErrorDetails',
+    'IntellectualPropertyPublisherInformation',
+    'ListModelsRequest',
+    'Model',
+    'ModelBatchDto',
+    'ModelBatchResponseDto',
+    'ModelContainerRequest',
+    'ModelDeploymentSettings',
+    'ModelListModelsRequestPagedResponse',
+    'ModelPagedResponse',
+    'ModelPathResponseDto',
+    'ModelSchema',
+    'ModelSettingsIdentifiers',
+    'Operation',
+    'ProviderFeedEntityRequestDto',
+    'Relationship',
+    'ServiceResponseBase',
+    'User',
+    'ComputeEnvironmentType',
+    'DeploymentType',
+    'EntityKind',
+    'ListViewType',
+    'ModelFormatEnum',
+    'ModelSchemaDataType',
+    'OrderString',
+    'WebServiceState',
+]
diff --git a/.venv/lib/python3.12/site-packages/azure/ai/ml/_restclient/model_dataplane/models/_azure_machine_learning_workspaces_enums.py b/.venv/lib/python3.12/site-packages/azure/ai/ml/_restclient/model_dataplane/models/_azure_machine_learning_workspaces_enums.py
new file mode 100644
index 00000000..f8290bfb
--- /dev/null
+++ b/.venv/lib/python3.12/site-packages/azure/ai/ml/_restclient/model_dataplane/models/_azure_machine_learning_workspaces_enums.py
@@ -0,0 +1,89 @@
+# coding=utf-8
+# --------------------------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# Licensed under the MIT License. See License.txt in the project root for license information.
+# Code generated by Microsoft (R) AutoRest Code Generator.
+# Changes may cause incorrect behavior and will be lost if the code is regenerated.
+# --------------------------------------------------------------------------
+
+from enum import Enum
+from azure.core import CaseInsensitiveEnumMeta
+
+
+class ComputeEnvironmentType(str, Enum, metaclass=CaseInsensitiveEnumMeta):
+
+    ACS = "ACS"
+    FPGA = "FPGA"
+    ACI = "ACI"
+    AKS = "AKS"
+    AMLCOMPUTE = "AMLCOMPUTE"
+    IOT = "IOT"
+    MIR = "MIR"
+    AKSENDPOINT = "AKSENDPOINT"
+    MIRSINGLEMODEL = "MIRSINGLEMODEL"
+    MIRAMLCOMPUTE = "MIRAMLCOMPUTE"
+    MIRGA = "MIRGA"
+    AMLARC = "AMLARC"
+    BATCHAMLCOMPUTE = "BATCHAMLCOMPUTE"
+    UNKNOWN = "UNKNOWN"
+
+class DeploymentType(str, Enum, metaclass=CaseInsensitiveEnumMeta):
+
+    GRPC_REALTIME_ENDPOINT = "GRPCRealtimeEndpoint"
+    HTTP_REALTIME_ENDPOINT = "HttpRealtimeEndpoint"
+    BATCH = "Batch"
+
+class EntityKind(str, Enum, metaclass=CaseInsensitiveEnumMeta):
+
+    INVALID = "Invalid"
+    LINEAGE_ROOT = "LineageRoot"
+    VERSIONED = "Versioned"
+    UNVERSIONED = "Unversioned"
+
+class ListViewType(str, Enum, metaclass=CaseInsensitiveEnumMeta):
+
+    ACTIVE_ONLY = "ActiveOnly"
+    ARCHIVED_ONLY = "ArchivedOnly"
+    ALL = "All"
+
+class ModelFormatEnum(str, Enum, metaclass=CaseInsensitiveEnumMeta):
+
+    CUSTOM = "CUSTOM"
+    MLFLOW = "MLFLOW"
+    TRITON = "TRITON"
+    PRESETS = "PRESETS"
+
+class ModelSchemaDataType(str, Enum, metaclass=CaseInsensitiveEnumMeta):
+
+    UNDEFINED = "undefined"
+    BOOL = "bool"
+    UINT8 = "uint8"
+    UINT16 = "uint16"
+    UINT32 = "uint32"
+    UINT64 = "uint64"
+    INT8 = "int8"
+    INT16 = "int16"
+    INT32 = "int32"
+    INT64 = "int64"
+    FLOAT16 = "float16"
+    FLOAT32 = "float32"
+    FLOAT64 = "float64"
+    BFLOAT16 = "bfloat16"
+    COMPLEX64 = "complex64"
+    COMPLEX128 = "complex128"
+    STRING = "string"
+
+class OrderString(str, Enum, metaclass=CaseInsensitiveEnumMeta):
+
+    CREATED_AT_DESC = "CreatedAtDesc"
+    CREATED_AT_ASC = "CreatedAtAsc"
+    UPDATED_AT_DESC = "UpdatedAtDesc"
+    UPDATED_AT_ASC = "UpdatedAtAsc"
+
+class WebServiceState(str, Enum, metaclass=CaseInsensitiveEnumMeta):
+
+    TRANSITIONING = "Transitioning"
+    HEALTHY = "Healthy"
+    UNHEALTHY = "Unhealthy"
+    FAILED = "Failed"
+    UNSCHEDULABLE = "Unschedulable"
diff --git a/.venv/lib/python3.12/site-packages/azure/ai/ml/_restclient/model_dataplane/models/_models.py b/.venv/lib/python3.12/site-packages/azure/ai/ml/_restclient/model_dataplane/models/_models.py
new file mode 100644
index 00000000..fc90156b
--- /dev/null
+++ b/.venv/lib/python3.12/site-packages/azure/ai/ml/_restclient/model_dataplane/models/_models.py
@@ -0,0 +1,2263 @@
+# coding=utf-8
+# --------------------------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# Licensed under the MIT License. See License.txt in the project root for license information.
+# Code generated by Microsoft (R) AutoRest Code Generator.
+# Changes may cause incorrect behavior and will be lost if the code is regenerated.
+# --------------------------------------------------------------------------
+
+import msrest.serialization
+
+
+class Artifact(msrest.serialization.Model):
+    """Artifact.
+
+    :ivar id:
+    :vartype id: str
+    :ivar prefix:
+    :vartype prefix: str
+    """
+
+    _attribute_map = {
+        'id': {'key': 'id', 'type': 'str'},
+        'prefix': {'key': 'prefix', 'type': 'str'},
+    }
+
+    def __init__(
+        self,
+        **kwargs
+    ):
+        """
+        :keyword id:
+        :paramtype id: str
+        :keyword prefix:
+        :paramtype prefix: str
+        """
+        super(Artifact, self).__init__(**kwargs)
+        self.id = kwargs.get('id', None)
+        self.prefix = kwargs.get('prefix', None)
+
+
+class Asset(msrest.serialization.Model):
+    """Asset.
+
+    All required parameters must be populated in order to send to Azure.
+
+    :ivar id:
+    :vartype id: str
+    :ivar name: Required.
+    :vartype name: str
+    :ivar type:
+    :vartype type: str
+    :ivar description:
+    :vartype description: str
+    :ivar artifacts:
+    :vartype artifacts: list[~azure.mgmt.machinelearningservices.models.Artifact]
+    :ivar kv_tags: Dictionary of :code:`<string>`.
+    :vartype kv_tags: dict[str, str]
+    :ivar properties: Dictionary of :code:`<string>`.
+    :vartype properties: dict[str, str]
+    :ivar runid:
+    :vartype runid: str
+    :ivar projectid:
+    :vartype projectid: str
+    :ivar meta: Dictionary of :code:`<string>`.
+    :vartype meta: dict[str, str]
+    :ivar created_time:
+    :vartype created_time: ~datetime.datetime
+    """
+
+    _validation = {
+        'name': {'required': True},
+    }
+
+    _attribute_map = {
+        'id': {'key': 'id', 'type': 'str'},
+        'name': {'key': 'name', 'type': 'str'},
+        'type': {'key': 'type', 'type': 'str'},
+        'description': {'key': 'description', 'type': 'str'},
+        'artifacts': {'key': 'artifacts', 'type': '[Artifact]'},
+        'kv_tags': {'key': 'kvTags', 'type': '{str}'},
+        'properties': {'key': 'properties', 'type': '{str}'},
+        'runid': {'key': 'runid', 'type': 'str'},
+        'projectid': {'key': 'projectid', 'type': 'str'},
+        'meta': {'key': 'meta', 'type': '{str}'},
+        'created_time': {'key': 'createdTime', 'type': 'iso-8601'},
+    }
+
+    def __init__(
+        self,
+        **kwargs
+    ):
+        """
+        :keyword id:
+        :paramtype id: str
+        :keyword name: Required.
+        :paramtype name: str
+        :keyword type:
+        :paramtype type: str
+        :keyword description:
+        :paramtype description: str
+        :keyword artifacts:
+        :paramtype artifacts: list[~azure.mgmt.machinelearningservices.models.Artifact]
+        :keyword kv_tags: Dictionary of :code:`<string>`.
+        :paramtype kv_tags: dict[str, str]
+        :keyword properties: Dictionary of :code:`<string>`.
+        :paramtype properties: dict[str, str]
+        :keyword runid:
+        :paramtype runid: str
+        :keyword projectid:
+        :paramtype projectid: str
+        :keyword meta: Dictionary of :code:`<string>`.
+        :paramtype meta: dict[str, str]
+        :keyword created_time:
+        :paramtype created_time: ~datetime.datetime
+        """
+        super(Asset, self).__init__(**kwargs)
+        self.id = kwargs.get('id', None)
+        self.name = kwargs['name']
+        self.type = kwargs.get('type', None)
+        self.description = kwargs.get('description', None)
+        self.artifacts = kwargs.get('artifacts', None)
+        self.kv_tags = kwargs.get('kv_tags', None)
+        self.properties = kwargs.get('properties', None)
+        self.runid = kwargs.get('runid', None)
+        self.projectid = kwargs.get('projectid', None)
+        self.meta = kwargs.get('meta', None)
+        self.created_time = kwargs.get('created_time', None)
+
+
+class AssetDto(msrest.serialization.Model):
+    """AssetDto.
+
+    :ivar asset_id:
+    :vartype asset_id: str
+    :ivar entity_id:
+    :vartype entity_id: str
+    :ivar data_items: Dictionary of :code:`<DataItem>`.
+    :vartype data_items: dict[str, ~azure.mgmt.machinelearningservices.models.DataItem]
+    :ivar data_references:
+    :vartype data_references: ~azure.mgmt.machinelearningservices.models.DataReferences
+    :ivar should_index:
+    :vartype should_index: bool
+    :ivar dependencies:
+    :vartype dependencies: list[~azure.mgmt.machinelearningservices.models.DependentAsset]
+    :ivar intellectual_property_publisher_information:
+    :vartype intellectual_property_publisher_information:
+     ~azure.mgmt.machinelearningservices.models.IntellectualPropertyPublisherInformation
+    """
+
+    _attribute_map = {
+        'asset_id': {'key': 'assetId', 'type': 'str'},
+        'entity_id': {'key': 'entityId', 'type': 'str'},
+        'data_items': {'key': 'dataItems', 'type': '{DataItem}'},
+        'data_references': {'key': 'dataReferences', 'type': 'DataReferences'},
+        'should_index': {'key': 'shouldIndex', 'type': 'bool'},
+        'dependencies': {'key': 'dependencies', 'type': '[DependentAsset]'},
+        'intellectual_property_publisher_information': {'key': 'intellectualPropertyPublisherInformation', 'type': 'IntellectualPropertyPublisherInformation'},
+    }
+
+    def __init__(
+        self,
+        **kwargs
+    ):
+        """
+        :keyword asset_id:
+        :paramtype asset_id: str
+        :keyword entity_id:
+        :paramtype entity_id: str
+        :keyword data_items: Dictionary of :code:`<DataItem>`.
+        :paramtype data_items: dict[str, ~azure.mgmt.machinelearningservices.models.DataItem]
+        :keyword data_references:
+        :paramtype data_references: ~azure.mgmt.machinelearningservices.models.DataReferences
+        :keyword should_index:
+        :paramtype should_index: bool
+        :keyword dependencies:
+        :paramtype dependencies: list[~azure.mgmt.machinelearningservices.models.DependentAsset]
+        :keyword intellectual_property_publisher_information:
+        :paramtype intellectual_property_publisher_information:
+         ~azure.mgmt.machinelearningservices.models.IntellectualPropertyPublisherInformation
+        """
+        super(AssetDto, self).__init__(**kwargs)
+        self.asset_id = kwargs.get('asset_id', None)
+        self.entity_id = kwargs.get('entity_id', None)
+        self.data_items = kwargs.get('data_items', None)
+        self.data_references = kwargs.get('data_references', None)
+        self.should_index = kwargs.get('should_index', None)
+        self.dependencies = kwargs.get('dependencies', None)
+        self.intellectual_property_publisher_information = kwargs.get('intellectual_property_publisher_information', None)
+
+
+class AssetPaginatedResult(msrest.serialization.Model):
+    """AssetPaginatedResult.
+
+    :ivar value:
+    :vartype value: list[~azure.mgmt.machinelearningservices.models.Asset]
+    :ivar continuation_token:
+    :vartype continuation_token: str
+    :ivar next_link:
+    :vartype next_link: str
+    """
+
+    _attribute_map = {
+        'value': {'key': 'value', 'type': '[Asset]'},
+        'continuation_token': {'key': 'continuationToken', 'type': 'str'},
+        'next_link': {'key': 'nextLink', 'type': 'str'},
+    }
+
+    def __init__(
+        self,
+        **kwargs
+    ):
+        """
+        :keyword value:
+        :paramtype value: list[~azure.mgmt.machinelearningservices.models.Asset]
+        :keyword continuation_token:
+        :paramtype continuation_token: str
+        :keyword next_link:
+        :paramtype next_link: str
+        """
+        super(AssetPaginatedResult, self).__init__(**kwargs)
+        self.value = kwargs.get('value', None)
+        self.continuation_token = kwargs.get('continuation_token', None)
+        self.next_link = kwargs.get('next_link', None)
+
+
+class BatchGetResolvedUrisDto(msrest.serialization.Model):
+    """BatchGetResolvedUrisDto.
+
+    :ivar values:
+    :vartype values: list[str]
+    """
+
+    _attribute_map = {
+        'values': {'key': 'values', 'type': '[str]'},
+    }
+
+    def __init__(
+        self,
+        **kwargs
+    ):
+        """
+        :keyword values:
+        :paramtype values: list[str]
+        """
+        super(BatchGetResolvedUrisDto, self).__init__(**kwargs)
+        self.values = kwargs.get('values', None)
+
+
+class BatchModelPathResponseDto(msrest.serialization.Model):
+    """BatchModelPathResponseDto.
+
+    :ivar values: Dictionary of :code:`<ModelPathResponseDto>`.
+    :vartype values: dict[str, ~azure.mgmt.machinelearningservices.models.ModelPathResponseDto]
+    """
+
+    _attribute_map = {
+        'values': {'key': 'values', 'type': '{ModelPathResponseDto}'},
+    }
+
+    def __init__(
+        self,
+        **kwargs
+    ):
+        """
+        :keyword values: Dictionary of :code:`<ModelPathResponseDto>`.
+        :paramtype values: dict[str, ~azure.mgmt.machinelearningservices.models.ModelPathResponseDto]
+        """
+        super(BatchModelPathResponseDto, self).__init__(**kwargs)
+        self.values = kwargs.get('values', None)
+
+
+class BlobReference(msrest.serialization.Model):
+    """BlobReference.
+
+    :ivar blob_uri:
+    :vartype blob_uri: str
+    :ivar storage_account_arm_id:
+    :vartype storage_account_arm_id: str
+    """
+
+    _attribute_map = {
+        'blob_uri': {'key': 'blobUri', 'type': 'str'},
+        'storage_account_arm_id': {'key': 'storageAccountArmId', 'type': 'str'},
+    }
+
+    def __init__(
+        self,
+        **kwargs
+    ):
+        """
+        :keyword blob_uri:
+        :paramtype blob_uri: str
+        :keyword storage_account_arm_id:
+        :paramtype storage_account_arm_id: str
+        """
+        super(BlobReference, self).__init__(**kwargs)
+        self.blob_uri = kwargs.get('blob_uri', None)
+        self.storage_account_arm_id = kwargs.get('storage_account_arm_id', None)
+
+
+class BlobReferenceForConsumptionDto(msrest.serialization.Model):
+    """BlobReferenceForConsumptionDto.
+
+    :ivar blob_uri:
+    :vartype blob_uri: str
+    :ivar storage_account_arm_id:
+    :vartype storage_account_arm_id: str
+    :ivar credential:
+    :vartype credential: ~azure.mgmt.machinelearningservices.models.DataReferenceCredentialDto
+    """
+
+    _attribute_map = {
+        'blob_uri': {'key': 'blobUri', 'type': 'str'},
+        'storage_account_arm_id': {'key': 'storageAccountArmId', 'type': 'str'},
+        'credential': {'key': 'credential', 'type': 'DataReferenceCredentialDto'},
+    }
+
+    def __init__(
+        self,
+        **kwargs
+    ):
+        """
+        :keyword blob_uri:
+        :paramtype blob_uri: str
+        :keyword storage_account_arm_id:
+        :paramtype storage_account_arm_id: str
+        :keyword credential:
+        :paramtype credential: ~azure.mgmt.machinelearningservices.models.DataReferenceCredentialDto
+        """
+        super(BlobReferenceForConsumptionDto, self).__init__(**kwargs)
+        self.blob_uri = kwargs.get('blob_uri', None)
+        self.storage_account_arm_id = kwargs.get('storage_account_arm_id', None)
+        self.credential = kwargs.get('credential', None)
+
+
+class ContainerResourceRequirements(msrest.serialization.Model):
+    """ContainerResourceRequirements.
+
+    :ivar cpu:
+    :vartype cpu: float
+    :ivar cpu_limit:
+    :vartype cpu_limit: float
+    :ivar memory_in_gb:
+    :vartype memory_in_gb: float
+    :ivar memory_in_gb_limit:
+    :vartype memory_in_gb_limit: float
+    :ivar gpu_enabled:
+    :vartype gpu_enabled: bool
+    :ivar gpu:
+    :vartype gpu: int
+    :ivar fpga:
+    :vartype fpga: int
+    """
+
+    _attribute_map = {
+        'cpu': {'key': 'cpu', 'type': 'float'},
+        'cpu_limit': {'key': 'cpuLimit', 'type': 'float'},
+        'memory_in_gb': {'key': 'memoryInGB', 'type': 'float'},
+        'memory_in_gb_limit': {'key': 'memoryInGBLimit', 'type': 'float'},
+        'gpu_enabled': {'key': 'gpuEnabled', 'type': 'bool'},
+        'gpu': {'key': 'gpu', 'type': 'int'},
+        'fpga': {'key': 'fpga', 'type': 'int'},
+    }
+
+    def __init__(
+        self,
+        **kwargs
+    ):
+        """
+        :keyword cpu:
+        :paramtype cpu: float
+        :keyword cpu_limit:
+        :paramtype cpu_limit: float
+        :keyword memory_in_gb:
+        :paramtype memory_in_gb: float
+        :keyword memory_in_gb_limit:
+        :paramtype memory_in_gb_limit: float
+        :keyword gpu_enabled:
+        :paramtype gpu_enabled: bool
+        :keyword gpu:
+        :paramtype gpu: int
+        :keyword fpga:
+        :paramtype fpga: int
+        """
+        super(ContainerResourceRequirements, self).__init__(**kwargs)
+        self.cpu = kwargs.get('cpu', None)
+        self.cpu_limit = kwargs.get('cpu_limit', None)
+        self.memory_in_gb = kwargs.get('memory_in_gb', None)
+        self.memory_in_gb_limit = kwargs.get('memory_in_gb_limit', None)
+        self.gpu_enabled = kwargs.get('gpu_enabled', None)
+        self.gpu = kwargs.get('gpu', None)
+        self.fpga = kwargs.get('fpga', None)
+
+
+class CreatedBy(msrest.serialization.Model):
+    """CreatedBy.
+
+    :ivar user_object_id:
+    :vartype user_object_id: str
+    :ivar user_tenant_id:
+    :vartype user_tenant_id: str
+    :ivar user_name:
+    :vartype user_name: str
+    """
+
+    _attribute_map = {
+        'user_object_id': {'key': 'userObjectId', 'type': 'str'},
+        'user_tenant_id': {'key': 'userTenantId', 'type': 'str'},
+        'user_name': {'key': 'userName', 'type': 'str'},
+    }
+
+    def __init__(
+        self,
+        **kwargs
+    ):
+        """
+        :keyword user_object_id:
+        :paramtype user_object_id: str
+        :keyword user_tenant_id:
+        :paramtype user_tenant_id: str
+        :keyword user_name:
+        :paramtype user_name: str
+        """
+        super(CreatedBy, self).__init__(**kwargs)
+        self.user_object_id = kwargs.get('user_object_id', None)
+        self.user_tenant_id = kwargs.get('user_tenant_id', None)
+        self.user_name = kwargs.get('user_name', None)
+
+
+class CreateUnregisteredInputModelDto(msrest.serialization.Model):
+    """CreateUnregisteredInputModelDto.
+
+    :ivar run_id:
+    :vartype run_id: str
+    :ivar input_name:
+    :vartype input_name: str
+    :ivar path:
+    :vartype path: str
+    :ivar type:
+    :vartype type: str
+    """
+
+    _attribute_map = {
+        'run_id': {'key': 'runId', 'type': 'str'},
+        'input_name': {'key': 'inputName', 'type': 'str'},
+        'path': {'key': 'path', 'type': 'str'},
+        'type': {'key': 'type', 'type': 'str'},
+    }
+
+    def __init__(
+        self,
+        **kwargs
+    ):
+        """
+        :keyword run_id:
+        :paramtype run_id: str
+        :keyword input_name:
+        :paramtype input_name: str
+        :keyword path:
+        :paramtype path: str
+        :keyword type:
+        :paramtype type: str
+        """
+        super(CreateUnregisteredInputModelDto, self).__init__(**kwargs)
+        self.run_id = kwargs.get('run_id', None)
+        self.input_name = kwargs.get('input_name', None)
+        self.path = kwargs.get('path', None)
+        self.type = kwargs.get('type', None)
+
+
+class CreateUnregisteredOutputModelDto(msrest.serialization.Model):
+    """CreateUnregisteredOutputModelDto.
+
+    :ivar run_id:
+    :vartype run_id: str
+    :ivar output_name:
+    :vartype output_name: str
+    :ivar path:
+    :vartype path: str
+    :ivar type:
+    :vartype type: str
+    """
+
+    _attribute_map = {
+        'run_id': {'key': 'runId', 'type': 'str'},
+        'output_name': {'key': 'outputName', 'type': 'str'},
+        'path': {'key': 'path', 'type': 'str'},
+        'type': {'key': 'type', 'type': 'str'},
+    }
+
+    def __init__(
+        self,
+        **kwargs
+    ):
+        """
+        :keyword run_id:
+        :paramtype run_id: str
+        :keyword output_name:
+        :paramtype output_name: str
+        :keyword path:
+        :paramtype path: str
+        :keyword type:
+        :paramtype type: str
+        """
+        super(CreateUnregisteredOutputModelDto, self).__init__(**kwargs)
+        self.run_id = kwargs.get('run_id', None)
+        self.output_name = kwargs.get('output_name', None)
+        self.path = kwargs.get('path', None)
+        self.type = kwargs.get('type', None)
+
+
+class CreationContext(msrest.serialization.Model):
+    """CreationContext.
+
+    :ivar additional_properties: Unmatched properties from the message are deserialized to this
+     collection.
+    :vartype additional_properties: dict[str, any]
+    :ivar created_time:
+    :vartype created_time: ~datetime.datetime
+    :ivar created_by:
+    :vartype created_by: ~azure.mgmt.machinelearningservices.models.CreatedBy
+    :ivar creation_source:
+    :vartype creation_source: str
+    """
+
+    _attribute_map = {
+        'additional_properties': {'key': '', 'type': '{object}'},
+        'created_time': {'key': 'createdTime', 'type': 'iso-8601'},
+        'created_by': {'key': 'createdBy', 'type': 'CreatedBy'},
+        'creation_source': {'key': 'creationSource', 'type': 'str'},
+    }
+
+    def __init__(
+        self,
+        **kwargs
+    ):
+        """
+        :keyword additional_properties: Unmatched properties from the message are deserialized to this
+         collection.
+        :paramtype additional_properties: dict[str, any]
+        :keyword created_time:
+        :paramtype created_time: ~datetime.datetime
+        :keyword created_by:
+        :paramtype created_by: ~azure.mgmt.machinelearningservices.models.CreatedBy
+        :keyword creation_source:
+        :paramtype creation_source: str
+        """
+        super(CreationContext, self).__init__(**kwargs)
+        self.additional_properties = kwargs.get('additional_properties', None)
+        self.created_time = kwargs.get('created_time', None)
+        self.created_by = kwargs.get('created_by', None)
+        self.creation_source = kwargs.get('creation_source', None)
+
+
+class DataItem(msrest.serialization.Model):
+    """DataItem.
+
+    :ivar data: Anything.
+    :vartype data: any
+    """
+
+    _attribute_map = {
+        'data': {'key': 'data', 'type': 'object'},
+    }
+
+    def __init__(
+        self,
+        **kwargs
+    ):
+        """
+        :keyword data: Anything.
+        :paramtype data: any
+        """
+        super(DataItem, self).__init__(**kwargs)
+        self.data = kwargs.get('data', None)
+
+
+class DataReferenceCredentialDto(msrest.serialization.Model):
+    """DataReferenceCredentialDto.
+
+    :ivar additional_properties: Unmatched properties from the message are deserialized to this
+     collection.
+    :vartype additional_properties: dict[str, any]
+    :ivar credential_type:
+    :vartype credential_type: str
+    """
+
+    _attribute_map = {
+        'additional_properties': {'key': '', 'type': '{object}'},
+        'credential_type': {'key': 'credentialType', 'type': 'str'},
+    }
+
+    def __init__(
+        self,
+        **kwargs
+    ):
+        """
+        :keyword additional_properties: Unmatched properties from the message are deserialized to this
+         collection.
+        :paramtype additional_properties: dict[str, any]
+        :keyword credential_type:
+        :paramtype credential_type: str
+        """
+        super(DataReferenceCredentialDto, self).__init__(**kwargs)
+        self.additional_properties = kwargs.get('additional_properties', None)
+        self.credential_type = kwargs.get('credential_type', None)
+
+
+class DataReferences(msrest.serialization.Model):
+    """DataReferences.
+
+    :ivar blob_references: Dictionary of :code:`<BlobReference>`.
+    :vartype blob_references: dict[str, ~azure.mgmt.machinelearningservices.models.BlobReference]
+    :ivar image_registry_references: Dictionary of :code:`<ImageReference>`.
+    :vartype image_registry_references: dict[str,
+     ~azure.mgmt.machinelearningservices.models.ImageReference]
+    """
+
+    _attribute_map = {
+        'blob_references': {'key': 'blobReferences', 'type': '{BlobReference}'},
+        'image_registry_references': {'key': 'imageRegistryReferences', 'type': '{ImageReference}'},
+    }
+
+    def __init__(
+        self,
+        **kwargs
+    ):
+        """
+        :keyword blob_references: Dictionary of :code:`<BlobReference>`.
+        :paramtype blob_references: dict[str, ~azure.mgmt.machinelearningservices.models.BlobReference]
+        :keyword image_registry_references: Dictionary of :code:`<ImageReference>`.
+        :paramtype image_registry_references: dict[str,
+         ~azure.mgmt.machinelearningservices.models.ImageReference]
+        """
+        super(DataReferences, self).__init__(**kwargs)
+        self.blob_references = kwargs.get('blob_references', None)
+        self.image_registry_references = kwargs.get('image_registry_references', None)
+
+
+class DataReferencesForConsumptionDto(msrest.serialization.Model):
+    """DataReferencesForConsumptionDto.
+
+    :ivar blob_references: Dictionary of :code:`<BlobReferenceForConsumptionDto>`.
+    :vartype blob_references: dict[str,
+     ~azure.mgmt.machinelearningservices.models.BlobReferenceForConsumptionDto]
+    :ivar image_registry_references: Dictionary of :code:`<ImageReferenceForConsumptionDto>`.
+    :vartype image_registry_references: dict[str,
+     ~azure.mgmt.machinelearningservices.models.ImageReferenceForConsumptionDto]
+    """
+
+    _attribute_map = {
+        'blob_references': {'key': 'blobReferences', 'type': '{BlobReferenceForConsumptionDto}'},
+        'image_registry_references': {'key': 'imageRegistryReferences', 'type': '{ImageReferenceForConsumptionDto}'},
+    }
+
+    def __init__(
+        self,
+        **kwargs
+    ):
+        """
+        :keyword blob_references: Dictionary of :code:`<BlobReferenceForConsumptionDto>`.
+        :paramtype blob_references: dict[str,
+         ~azure.mgmt.machinelearningservices.models.BlobReferenceForConsumptionDto]
+        :keyword image_registry_references: Dictionary of :code:`<ImageReferenceForConsumptionDto>`.
+        :paramtype image_registry_references: dict[str,
+         ~azure.mgmt.machinelearningservices.models.ImageReferenceForConsumptionDto]
+        """
+        super(DataReferencesForConsumptionDto, self).__init__(**kwargs)
+        self.blob_references = kwargs.get('blob_references', None)
+        self.image_registry_references = kwargs.get('image_registry_references', None)
+
+
+class DatasetReference(msrest.serialization.Model):
+    """DatasetReference.
+
+    :ivar name:
+    :vartype name: str
+    :ivar id:
+    :vartype id: str
+    """
+
+    _attribute_map = {
+        'name': {'key': 'name', 'type': 'str'},
+        'id': {'key': 'id', 'type': 'str'},
+    }
+
+    def __init__(
+        self,
+        **kwargs
+    ):
+        """
+        :keyword name:
+        :paramtype name: str
+        :keyword id:
+        :paramtype id: str
+        """
+        super(DatasetReference, self).__init__(**kwargs)
+        self.name = kwargs.get('name', None)
+        self.id = kwargs.get('id', None)
+
+
+class DependencyMapDto(msrest.serialization.Model):
+    """DependencyMapDto.
+
+    :ivar dependencies:
+    :vartype dependencies: list[~azure.mgmt.machinelearningservices.models.DependencyMapItemDto]
+    """
+
+    _attribute_map = {
+        'dependencies': {'key': 'dependencies', 'type': '[DependencyMapItemDto]'},
+    }
+
+    def __init__(
+        self,
+        **kwargs
+    ):
+        """
+        :keyword dependencies:
+        :paramtype dependencies: list[~azure.mgmt.machinelearningservices.models.DependencyMapItemDto]
+        """
+        super(DependencyMapDto, self).__init__(**kwargs)
+        self.dependencies = kwargs.get('dependencies', None)
+
+
+class DependencyMapItemDto(msrest.serialization.Model):
+    """DependencyMapItemDto.
+
+    :ivar source_id:
+    :vartype source_id: str
+    :ivar destination_id:
+    :vartype destination_id: str
+    """
+
+    _attribute_map = {
+        'source_id': {'key': 'sourceId', 'type': 'str'},
+        'destination_id': {'key': 'destinationId', 'type': 'str'},
+    }
+
+    def __init__(
+        self,
+        **kwargs
+    ):
+        """
+        :keyword source_id:
+        :paramtype source_id: str
+        :keyword destination_id:
+        :paramtype destination_id: str
+        """
+        super(DependencyMapItemDto, self).__init__(**kwargs)
+        self.source_id = kwargs.get('source_id', None)
+        self.destination_id = kwargs.get('destination_id', None)
+
+
+class DependentAsset(msrest.serialization.Model):
+    """DependentAsset.
+
+    :ivar asset_id:
+    :vartype asset_id: str
+    """
+
+    _attribute_map = {
+        'asset_id': {'key': 'assetId', 'type': 'str'},
+    }
+
+    def __init__(
+        self,
+        **kwargs
+    ):
+        """
+        :keyword asset_id:
+        :paramtype asset_id: str
+        """
+        super(DependentAsset, self).__init__(**kwargs)
+        self.asset_id = kwargs.get('asset_id', None)
+
+
+class DependentEntitiesDto(msrest.serialization.Model):
+    """DependentEntitiesDto.
+
+    :ivar asset_id:
+    :vartype asset_id: str
+    :ivar dependencies:
+    :vartype dependencies: list[~azure.mgmt.machinelearningservices.models.DependentAsset]
+    """
+
+    _attribute_map = {
+        'asset_id': {'key': 'assetId', 'type': 'str'},
+        'dependencies': {'key': 'dependencies', 'type': '[DependentAsset]'},
+    }
+
+    def __init__(
+        self,
+        **kwargs
+    ):
+        """
+        :keyword asset_id:
+        :paramtype asset_id: str
+        :keyword dependencies:
+        :paramtype dependencies: list[~azure.mgmt.machinelearningservices.models.DependentAsset]
+        """
+        super(DependentEntitiesDto, self).__init__(**kwargs)
+        self.asset_id = kwargs.get('asset_id', None)
+        self.dependencies = kwargs.get('dependencies', None)
+
+
+class ErrorResponse(msrest.serialization.Model):
+    """ErrorResponse.
+
+    :ivar code:
+    :vartype code: str
+    :ivar status_code:
+    :vartype status_code: int
+    :ivar message:
+    :vartype message: str
+    :ivar target:
+    :vartype target: str
+    :ivar details:
+    :vartype details: list[~azure.mgmt.machinelearningservices.models.InnerErrorDetails]
+    :ivar correlation: Dictionary of :code:`<string>`.
+    :vartype correlation: dict[str, str]
+    """
+
+    _attribute_map = {
+        'code': {'key': 'code', 'type': 'str'},
+        'status_code': {'key': 'statusCode', 'type': 'int'},
+        'message': {'key': 'message', 'type': 'str'},
+        'target': {'key': 'target', 'type': 'str'},
+        'details': {'key': 'details', 'type': '[InnerErrorDetails]'},
+        'correlation': {'key': 'correlation', 'type': '{str}'},
+    }
+
+    def __init__(
+        self,
+        **kwargs
+    ):
+        """
+        :keyword code:
+        :paramtype code: str
+        :keyword status_code:
+        :paramtype status_code: int
+        :keyword message:
+        :paramtype message: str
+        :keyword target:
+        :paramtype target: str
+        :keyword details:
+        :paramtype details: list[~azure.mgmt.machinelearningservices.models.InnerErrorDetails]
+        :keyword correlation: Dictionary of :code:`<string>`.
+        :paramtype correlation: dict[str, str]
+        """
+        super(ErrorResponse, self).__init__(**kwargs)
+        self.code = kwargs.get('code', None)
+        self.status_code = kwargs.get('status_code', None)
+        self.message = kwargs.get('message', None)
+        self.target = kwargs.get('target', None)
+        self.details = kwargs.get('details', None)
+        self.correlation = kwargs.get('correlation', None)
+
+
+class ExtensiveModel(msrest.serialization.Model):
+    """ExtensiveModel.
+
+    :ivar model:
+    :vartype model: ~azure.mgmt.machinelearningservices.models.Model
+    :ivar service_list:
+    :vartype service_list: list[~azure.mgmt.machinelearningservices.models.ServiceResponseBase]
+    :ivar asset_list:
+    :vartype asset_list: list[~azure.mgmt.machinelearningservices.models.Asset]
+    """
+
+    _attribute_map = {
+        'model': {'key': 'Model', 'type': 'Model'},
+        'service_list': {'key': 'ServiceList', 'type': '[ServiceResponseBase]'},
+        'asset_list': {'key': 'AssetList', 'type': '[Asset]'},
+    }
+
+    def __init__(
+        self,
+        **kwargs
+    ):
+        """
+        :keyword model:
+        :paramtype model: ~azure.mgmt.machinelearningservices.models.Model
+        :keyword service_list:
+        :paramtype service_list: list[~azure.mgmt.machinelearningservices.models.ServiceResponseBase]
+        :keyword asset_list:
+        :paramtype asset_list: list[~azure.mgmt.machinelearningservices.models.Asset]
+        """
+        super(ExtensiveModel, self).__init__(**kwargs)
+        self.model = kwargs.get('model', None)
+        self.service_list = kwargs.get('service_list', None)
+        self.asset_list = kwargs.get('asset_list', None)
+
+
+class FeedIndexEntityDto(msrest.serialization.Model):
+    """FeedIndexEntityDto.
+
+    :ivar index_entity:
+    :vartype index_entity: ~azure.mgmt.machinelearningservices.models.IndexEntity
+    :ivar schema_id:
+    :vartype schema_id: str
+    :ivar entity_schema: Anything.
+    :vartype entity_schema: any
+    """
+
+    _attribute_map = {
+        'index_entity': {'key': 'indexEntity', 'type': 'IndexEntity'},
+        'schema_id': {'key': 'schemaId', 'type': 'str'},
+        'entity_schema': {'key': 'entitySchema', 'type': 'object'},
+    }
+
+    def __init__(
+        self,
+        **kwargs
+    ):
+        """
+        :keyword index_entity:
+        :paramtype index_entity: ~azure.mgmt.machinelearningservices.models.IndexEntity
+        :keyword schema_id:
+        :paramtype schema_id: str
+        :keyword entity_schema: Anything.
+        :paramtype entity_schema: any
+        """
+        super(FeedIndexEntityDto, self).__init__(**kwargs)
+        self.index_entity = kwargs.get('index_entity', None)
+        self.schema_id = kwargs.get('schema_id', None)
+        self.entity_schema = kwargs.get('entity_schema', None)
+
+
+class FeedIndexEntityRequestDto(msrest.serialization.Model):
+    """FeedIndexEntityRequestDto.
+
+    :ivar feed_entity:
+    :vartype feed_entity: ~azure.mgmt.machinelearningservices.models.AssetDto
+    :ivar label_to_version_mapping: Dictionary of :code:`<string>`.
+    :vartype label_to_version_mapping: dict[str, str]
+    """
+
+    _attribute_map = {
+        'feed_entity': {'key': 'feedEntity', 'type': 'AssetDto'},
+        'label_to_version_mapping': {'key': 'labelToVersionMapping', 'type': '{str}'},
+    }
+
+    def __init__(
+        self,
+        **kwargs
+    ):
+        """
+        :keyword feed_entity:
+        :paramtype feed_entity: ~azure.mgmt.machinelearningservices.models.AssetDto
+        :keyword label_to_version_mapping: Dictionary of :code:`<string>`.
+        :paramtype label_to_version_mapping: dict[str, str]
+        """
+        super(FeedIndexEntityRequestDto, self).__init__(**kwargs)
+        self.feed_entity = kwargs.get('feed_entity', None)
+        self.label_to_version_mapping = kwargs.get('label_to_version_mapping', None)
+
+
+class ImageReference(msrest.serialization.Model):
+    """ImageReference.
+
+    :ivar image_registry_reference:
+    :vartype image_registry_reference: str
+    """
+
+    _attribute_map = {
+        'image_registry_reference': {'key': 'imageRegistryReference', 'type': 'str'},
+    }
+
+    def __init__(
+        self,
+        **kwargs
+    ):
+        """
+        :keyword image_registry_reference:
+        :paramtype image_registry_reference: str
+        """
+        super(ImageReference, self).__init__(**kwargs)
+        self.image_registry_reference = kwargs.get('image_registry_reference', None)
+
+
+class ImageReferenceForConsumptionDto(msrest.serialization.Model):
+    """ImageReferenceForConsumptionDto.
+
+    :ivar image_registry_reference:
+    :vartype image_registry_reference: str
+    :ivar credential:
+    :vartype credential: ~azure.mgmt.machinelearningservices.models.DataReferenceCredentialDto
+    """
+
+    _attribute_map = {
+        'image_registry_reference': {'key': 'imageRegistryReference', 'type': 'str'},
+        'credential': {'key': 'credential', 'type': 'DataReferenceCredentialDto'},
+    }
+
+    def __init__(
+        self,
+        **kwargs
+    ):
+        """
+        :keyword image_registry_reference:
+        :paramtype image_registry_reference: str
+        :keyword credential:
+        :paramtype credential: ~azure.mgmt.machinelearningservices.models.DataReferenceCredentialDto
+        """
+        super(ImageReferenceForConsumptionDto, self).__init__(**kwargs)
+        self.image_registry_reference = kwargs.get('image_registry_reference', None)
+        self.credential = kwargs.get('credential', None)
+
+
+class IndexAnnotations(msrest.serialization.Model):
+    """IndexAnnotations.
+
+    :ivar additional_properties: Unmatched properties from the message are deserialized to this
+     collection.
+    :vartype additional_properties: dict[str, any]
+    :ivar archived:
+    :vartype archived: bool
+    :ivar tags: A set of tags. Dictionary of :code:`<string>`.
+    :vartype tags: dict[str, str]
+    """
+
+    _attribute_map = {
+        'additional_properties': {'key': '', 'type': '{object}'},
+        'archived': {'key': 'archived', 'type': 'bool'},
+        'tags': {'key': 'tags', 'type': '{str}'},
+    }
+
+    def __init__(
+        self,
+        **kwargs
+    ):
+        """
+        :keyword additional_properties: Unmatched properties from the message are deserialized to this
+         collection.
+        :paramtype additional_properties: dict[str, any]
+        :keyword archived:
+        :paramtype archived: bool
+        :keyword tags: A set of tags. Dictionary of :code:`<string>`.
+        :paramtype tags: dict[str, str]
+        """
+        super(IndexAnnotations, self).__init__(**kwargs)
+        self.additional_properties = kwargs.get('additional_properties', None)
+        self.archived = kwargs.get('archived', None)
+        self.tags = kwargs.get('tags', None)
+
+
+class IndexEntity(msrest.serialization.Model):
+    """IndexEntity.
+
+    Variables are only populated by the server, and will be ignored when sending a request.
+
+    :ivar schema_id:
+    :vartype schema_id: str
+    :ivar entity_id:
+    :vartype entity_id: str
+    :ivar kind: Possible values include: "Invalid", "LineageRoot", "Versioned", "Unversioned".
+    :vartype kind: str or ~azure.mgmt.machinelearningservices.models.EntityKind
+    :ivar annotations:
+    :vartype annotations: ~azure.mgmt.machinelearningservices.models.IndexAnnotations
+    :ivar properties:
+    :vartype properties: ~azure.mgmt.machinelearningservices.models.IndexProperties
+    :ivar internal: Dictionary of :code:`<any>`.
+    :vartype internal: dict[str, any]
+    :ivar update_sequence:
+    :vartype update_sequence: long
+    :ivar type:
+    :vartype type: str
+    :ivar version:
+    :vartype version: str
+    :ivar entity_container_id:
+    :vartype entity_container_id: str
+    :ivar entity_object_id:
+    :vartype entity_object_id: str
+    :ivar resource_type:
+    :vartype resource_type: str
+    :ivar relationships:
+    :vartype relationships: list[~azure.mgmt.machinelearningservices.models.Relationship]
+    :ivar asset_id:
+    :vartype asset_id: str
+    """
+
+    _validation = {
+        'version': {'readonly': True},
+        'entity_container_id': {'readonly': True},
+        'entity_object_id': {'readonly': True},
+        'resource_type': {'readonly': True},
+    }
+
+    _attribute_map = {
+        'schema_id': {'key': 'schemaId', 'type': 'str'},
+        'entity_id': {'key': 'entityId', 'type': 'str'},
+        'kind': {'key': 'kind', 'type': 'str'},
+        'annotations': {'key': 'annotations', 'type': 'IndexAnnotations'},
+        'properties': {'key': 'properties', 'type': 'IndexProperties'},
+        'internal': {'key': 'internal', 'type': '{object}'},
+        'update_sequence': {'key': 'updateSequence', 'type': 'long'},
+        'type': {'key': 'type', 'type': 'str'},
+        'version': {'key': 'version', 'type': 'str'},
+        'entity_container_id': {'key': 'entityContainerId', 'type': 'str'},
+        'entity_object_id': {'key': 'entityObjectId', 'type': 'str'},
+        'resource_type': {'key': 'resourceType', 'type': 'str'},
+        'relationships': {'key': 'relationships', 'type': '[Relationship]'},
+        'asset_id': {'key': 'assetId', 'type': 'str'},
+    }
+
+    def __init__(
+        self,
+        **kwargs
+    ):
+        """
+        :keyword schema_id:
+        :paramtype schema_id: str
+        :keyword entity_id:
+        :paramtype entity_id: str
+        :keyword kind: Possible values include: "Invalid", "LineageRoot", "Versioned", "Unversioned".
+        :paramtype kind: str or ~azure.mgmt.machinelearningservices.models.EntityKind
+        :keyword annotations:
+        :paramtype annotations: ~azure.mgmt.machinelearningservices.models.IndexAnnotations
+        :keyword properties:
+        :paramtype properties: ~azure.mgmt.machinelearningservices.models.IndexProperties
+        :keyword internal: Dictionary of :code:`<any>`.
+        :paramtype internal: dict[str, any]
+        :keyword update_sequence:
+        :paramtype update_sequence: long
+        :keyword type:
+        :paramtype type: str
+        :keyword relationships:
+        :paramtype relationships: list[~azure.mgmt.machinelearningservices.models.Relationship]
+        :keyword asset_id:
+        :paramtype asset_id: str
+        """
+        super(IndexEntity, self).__init__(**kwargs)
+        self.schema_id = kwargs.get('schema_id', None)
+        self.entity_id = kwargs.get('entity_id', None)
+        self.kind = kwargs.get('kind', None)
+        self.annotations = kwargs.get('annotations', None)
+        self.properties = kwargs.get('properties', None)
+        self.internal = kwargs.get('internal', None)
+        self.update_sequence = kwargs.get('update_sequence', None)
+        self.type = kwargs.get('type', None)
+        self.version = None
+        self.entity_container_id = None
+        self.entity_object_id = None
+        self.resource_type = None
+        self.relationships = kwargs.get('relationships', None)
+        self.asset_id = kwargs.get('asset_id', None)
+
+
+class IndexProperties(msrest.serialization.Model):
+    """IndexProperties.
+
+    :ivar additional_properties: Unmatched properties from the message are deserialized to this
+     collection.
+    :vartype additional_properties: dict[str, any]
+    :ivar creation_context:
+    :vartype creation_context: ~azure.mgmt.machinelearningservices.models.CreationContext
+    """
+
+    _attribute_map = {
+        'additional_properties': {'key': '', 'type': '{object}'},
+        'creation_context': {'key': 'creationContext', 'type': 'CreationContext'},
+    }
+
+    def __init__(
+        self,
+        **kwargs
+    ):
+        """
+        :keyword additional_properties: Unmatched properties from the message are deserialized to this
+         collection.
+        :paramtype additional_properties: dict[str, any]
+        :keyword creation_context:
+        :paramtype creation_context: ~azure.mgmt.machinelearningservices.models.CreationContext
+        """
+        super(IndexProperties, self).__init__(**kwargs)
+        self.additional_properties = kwargs.get('additional_properties', None)
+        self.creation_context = kwargs.get('creation_context', None)
+
+
+class InnerErrorDetails(msrest.serialization.Model):
+    """InnerErrorDetails.
+
+    :ivar code:
+    :vartype code: str
+    :ivar message:
+    :vartype message: str
+    :ivar target:
+    :vartype target: str
+    """
+
+    _attribute_map = {
+        'code': {'key': 'code', 'type': 'str'},
+        'message': {'key': 'message', 'type': 'str'},
+        'target': {'key': 'target', 'type': 'str'},
+    }
+
+    def __init__(
+        self,
+        **kwargs
+    ):
+        """
+        :keyword code:
+        :paramtype code: str
+        :keyword message:
+        :paramtype message: str
+        :keyword target:
+        :paramtype target: str
+        """
+        super(InnerErrorDetails, self).__init__(**kwargs)
+        self.code = kwargs.get('code', None)
+        self.message = kwargs.get('message', None)
+        self.target = kwargs.get('target', None)
+
+
+class IntellectualPropertyPublisherInformation(msrest.serialization.Model):
+    """IntellectualPropertyPublisherInformation.
+
+    :ivar intellectual_property_publisher:
+    :vartype intellectual_property_publisher: str
+    """
+
+    _attribute_map = {
+        'intellectual_property_publisher': {'key': 'intellectualPropertyPublisher', 'type': 'str'},
+    }
+
+    def __init__(
+        self,
+        **kwargs
+    ):
+        """
+        :keyword intellectual_property_publisher:
+        :paramtype intellectual_property_publisher: str
+        """
+        super(IntellectualPropertyPublisherInformation, self).__init__(**kwargs)
+        self.intellectual_property_publisher = kwargs.get('intellectual_property_publisher', None)
+
+
+class ListModelsRequest(msrest.serialization.Model):
+    """ListModelsRequest.
+
+    :ivar name:
+    :vartype name: str
+    :ivar tag:
+    :vartype tag: str
+    :ivar version:
+    :vartype version: str
+    :ivar framework:
+    :vartype framework: str
+    :ivar description:
+    :vartype description: str
+    :ivar count:
+    :vartype count: int
+    :ivar offset:
+    :vartype offset: int
+    :ivar skip_token:
+    :vartype skip_token: str
+    :ivar tags: A set of tags.
+    :vartype tags: str
+    :ivar properties:
+    :vartype properties: str
+    :ivar run_id:
+    :vartype run_id: str
+    :ivar dataset_id:
+    :vartype dataset_id: str
+    :ivar order_by: Possible values include: "CreatedAtDesc", "CreatedAtAsc", "UpdatedAtDesc",
+     "UpdatedAtAsc".
+    :vartype order_by: str or ~azure.mgmt.machinelearningservices.models.OrderString
+    :ivar latest_version_only:
+    :vartype latest_version_only: bool
+    :ivar modified_after:
+    :vartype modified_after: ~datetime.datetime
+    :ivar modified_before:
+    :vartype modified_before: ~datetime.datetime
+    :ivar list_view_type: Possible values include: "ActiveOnly", "ArchivedOnly", "All".
+    :vartype list_view_type: str or ~azure.mgmt.machinelearningservices.models.ListViewType
+    """
+
+    _attribute_map = {
+        'name': {'key': 'name', 'type': 'str'},
+        'tag': {'key': 'tag', 'type': 'str'},
+        'version': {'key': 'version', 'type': 'str'},
+        'framework': {'key': 'framework', 'type': 'str'},
+        'description': {'key': 'description', 'type': 'str'},
+        'count': {'key': 'count', 'type': 'int'},
+        'offset': {'key': 'offset', 'type': 'int'},
+        'skip_token': {'key': 'skipToken', 'type': 'str'},
+        'tags': {'key': 'tags', 'type': 'str'},
+        'properties': {'key': 'properties', 'type': 'str'},
+        'run_id': {'key': 'runId', 'type': 'str'},
+        'dataset_id': {'key': 'datasetId', 'type': 'str'},
+        'order_by': {'key': 'orderBy', 'type': 'str'},
+        'latest_version_only': {'key': 'latestVersionOnly', 'type': 'bool'},
+        'modified_after': {'key': 'modifiedAfter', 'type': 'iso-8601'},
+        'modified_before': {'key': 'modifiedBefore', 'type': 'iso-8601'},
+        'list_view_type': {'key': 'listViewType', 'type': 'str'},
+    }
+
+    def __init__(
+        self,
+        **kwargs
+    ):
+        """
+        :keyword name:
+        :paramtype name: str
+        :keyword tag:
+        :paramtype tag: str
+        :keyword version:
+        :paramtype version: str
+        :keyword framework:
+        :paramtype framework: str
+        :keyword description:
+        :paramtype description: str
+        :keyword count:
+        :paramtype count: int
+        :keyword offset:
+        :paramtype offset: int
+        :keyword skip_token:
+        :paramtype skip_token: str
+        :keyword tags: A set of tags.
+        :paramtype tags: str
+        :keyword properties:
+        :paramtype properties: str
+        :keyword run_id:
+        :paramtype run_id: str
+        :keyword dataset_id:
+        :paramtype dataset_id: str
+        :keyword order_by: Possible values include: "CreatedAtDesc", "CreatedAtAsc", "UpdatedAtDesc",
+         "UpdatedAtAsc".
+        :paramtype order_by: str or ~azure.mgmt.machinelearningservices.models.OrderString
+        :keyword latest_version_only:
+        :paramtype latest_version_only: bool
+        :keyword modified_after:
+        :paramtype modified_after: ~datetime.datetime
+        :keyword modified_before:
+        :paramtype modified_before: ~datetime.datetime
+        :keyword list_view_type: Possible values include: "ActiveOnly", "ArchivedOnly", "All".
+        :paramtype list_view_type: str or ~azure.mgmt.machinelearningservices.models.ListViewType
+        """
+        super(ListModelsRequest, self).__init__(**kwargs)
+        self.name = kwargs.get('name', None)
+        self.tag = kwargs.get('tag', None)
+        self.version = kwargs.get('version', None)
+        self.framework = kwargs.get('framework', None)
+        self.description = kwargs.get('description', None)
+        self.count = kwargs.get('count', None)
+        self.offset = kwargs.get('offset', None)
+        self.skip_token = kwargs.get('skip_token', None)
+        self.tags = kwargs.get('tags', None)
+        self.properties = kwargs.get('properties', None)
+        self.run_id = kwargs.get('run_id', None)
+        self.dataset_id = kwargs.get('dataset_id', None)
+        self.order_by = kwargs.get('order_by', None)
+        self.latest_version_only = kwargs.get('latest_version_only', None)
+        self.modified_after = kwargs.get('modified_after', None)
+        self.modified_before = kwargs.get('modified_before', None)
+        self.list_view_type = kwargs.get('list_view_type', None)
+
+
+class Model(msrest.serialization.Model):
+    """Model.
+
+    All required parameters must be populated in order to send to Azure.
+
+    :ivar id:
+    :vartype id: str
+    :ivar name: Required.
+    :vartype name: str
+    :ivar framework:
+    :vartype framework: str
+    :ivar framework_version:
+    :vartype framework_version: str
+    :ivar version:
+    :vartype version: long
+    :ivar tags: A set of tags.
+    :vartype tags: list[str]
+    :ivar datasets:
+    :vartype datasets: list[~azure.mgmt.machinelearningservices.models.DatasetReference]
+    :ivar url:
+    :vartype url: str
+    :ivar mime_type: Required.
+    :vartype mime_type: str
+    :ivar description:
+    :vartype description: str
+    :ivar created_time:
+    :vartype created_time: ~datetime.datetime
+    :ivar modified_time:
+    :vartype modified_time: ~datetime.datetime
+    :ivar unpack:
+    :vartype unpack: bool
+    :ivar parent_model_id:
+    :vartype parent_model_id: str
+    :ivar run_id:
+    :vartype run_id: str
+    :ivar experiment_name:
+    :vartype experiment_name: str
+    :ivar kv_tags: Dictionary of :code:`<string>`.
+    :vartype kv_tags: dict[str, str]
+    :ivar properties: Dictionary of :code:`<string>`.
+    :vartype properties: dict[str, str]
+    :ivar derived_model_ids:
+    :vartype derived_model_ids: list[str]
+    :ivar inputs_schema:
+    :vartype inputs_schema: list[~azure.mgmt.machinelearningservices.models.ModelSchema]
+    :ivar outputs_schema:
+    :vartype outputs_schema: list[~azure.mgmt.machinelearningservices.models.ModelSchema]
+    :ivar sample_input_data:
+    :vartype sample_input_data: str
+    :ivar sample_output_data:
+    :vartype sample_output_data: str
+    :ivar resource_requirements:
+    :vartype resource_requirements:
+     ~azure.mgmt.machinelearningservices.models.ContainerResourceRequirements
+    :ivar created_by:
+    :vartype created_by: ~azure.mgmt.machinelearningservices.models.User
+    :ivar modified_by:
+    :vartype modified_by: ~azure.mgmt.machinelearningservices.models.User
+    :ivar flavors: Dictionary of
+     <components·8urbg9·schemas·model·properties·flavors·additionalproperties>.
+    :vartype flavors: dict[str, dict[str, str]]
+    :ivar model_format: Possible values include: "CUSTOM", "MLFLOW", "TRITON", "PRESETS".
+    :vartype model_format: str or ~azure.mgmt.machinelearningservices.models.ModelFormatEnum
+    :ivar stage:
+    :vartype stage: str
+    :ivar model_container_id:
+    :vartype model_container_id: str
+    :ivar mms_id:
+    :vartype mms_id: str
+    :ivar default_deployment_settings:
+    :vartype default_deployment_settings:
+     ~azure.mgmt.machinelearningservices.models.ModelDeploymentSettings
+    :ivar is_anonymous:
+    :vartype is_anonymous: bool
+    :ivar is_archived:
+    :vartype is_archived: bool
+    :ivar is_registered:
+    :vartype is_registered: bool
+    :ivar data_path:
+    :vartype data_path: str
+    :ivar model_type:
+    :vartype model_type: str
+    :ivar asset_id:
+    :vartype asset_id: str
+    """
+
+    _validation = {
+        'name': {'required': True},
+        'mime_type': {'required': True},
+    }
+
+    _attribute_map = {
+        'id': {'key': 'id', 'type': 'str'},
+        'name': {'key': 'name', 'type': 'str'},
+        'framework': {'key': 'framework', 'type': 'str'},
+        'framework_version': {'key': 'frameworkVersion', 'type': 'str'},
+        'version': {'key': 'version', 'type': 'long'},
+        'tags': {'key': 'tags', 'type': '[str]'},
+        'datasets': {'key': 'datasets', 'type': '[DatasetReference]'},
+        'url': {'key': 'url', 'type': 'str'},
+        'mime_type': {'key': 'mimeType', 'type': 'str'},
+        'description': {'key': 'description', 'type': 'str'},
+        'created_time': {'key': 'createdTime', 'type': 'iso-8601'},
+        'modified_time': {'key': 'modifiedTime', 'type': 'iso-8601'},
+        'unpack': {'key': 'unpack', 'type': 'bool'},
+        'parent_model_id': {'key': 'parentModelId', 'type': 'str'},
+        'run_id': {'key': 'runId', 'type': 'str'},
+        'experiment_name': {'key': 'experimentName', 'type': 'str'},
+        'kv_tags': {'key': 'kvTags', 'type': '{str}'},
+        'properties': {'key': 'properties', 'type': '{str}'},
+        'derived_model_ids': {'key': 'derivedModelIds', 'type': '[str]'},
+        'inputs_schema': {'key': 'inputsSchema', 'type': '[ModelSchema]'},
+        'outputs_schema': {'key': 'outputsSchema', 'type': '[ModelSchema]'},
+        'sample_input_data': {'key': 'sampleInputData', 'type': 'str'},
+        'sample_output_data': {'key': 'sampleOutputData', 'type': 'str'},
+        'resource_requirements': {'key': 'resourceRequirements', 'type': 'ContainerResourceRequirements'},
+        'created_by': {'key': 'createdBy', 'type': 'User'},
+        'modified_by': {'key': 'modifiedBy', 'type': 'User'},
+        'flavors': {'key': 'flavors', 'type': '{{str}}'},
+        'model_format': {'key': 'modelFormat', 'type': 'str'},
+        'stage': {'key': 'stage', 'type': 'str'},
+        'model_container_id': {'key': 'modelContainerId', 'type': 'str'},
+        'mms_id': {'key': 'mmsId', 'type': 'str'},
+        'default_deployment_settings': {'key': 'defaultDeploymentSettings', 'type': 'ModelDeploymentSettings'},
+        'is_anonymous': {'key': 'isAnonymous', 'type': 'bool'},
+        'is_archived': {'key': 'isArchived', 'type': 'bool'},
+        'is_registered': {'key': 'isRegistered', 'type': 'bool'},
+        'data_path': {'key': 'dataPath', 'type': 'str'},
+        'model_type': {'key': 'modelType', 'type': 'str'},
+        'asset_id': {'key': 'assetId', 'type': 'str'},
+    }
+
+    def __init__(
+        self,
+        **kwargs
+    ):
+        """
+        :keyword id:
+        :paramtype id: str
+        :keyword name: Required.
+        :paramtype name: str
+        :keyword framework:
+        :paramtype framework: str
+        :keyword framework_version:
+        :paramtype framework_version: str
+        :keyword version:
+        :paramtype version: long
+        :keyword tags: A set of tags.
+        :paramtype tags: list[str]
+        :keyword datasets:
+        :paramtype datasets: list[~azure.mgmt.machinelearningservices.models.DatasetReference]
+        :keyword url:
+        :paramtype url: str
+        :keyword mime_type: Required.
+        :paramtype mime_type: str
+        :keyword description:
+        :paramtype description: str
+        :keyword created_time:
+        :paramtype created_time: ~datetime.datetime
+        :keyword modified_time:
+        :paramtype modified_time: ~datetime.datetime
+        :keyword unpack:
+        :paramtype unpack: bool
+        :keyword parent_model_id:
+        :paramtype parent_model_id: str
+        :keyword run_id:
+        :paramtype run_id: str
+        :keyword experiment_name:
+        :paramtype experiment_name: str
+        :keyword kv_tags: Dictionary of :code:`<string>`.
+        :paramtype kv_tags: dict[str, str]
+        :keyword properties: Dictionary of :code:`<string>`.
+        :paramtype properties: dict[str, str]
+        :keyword derived_model_ids:
+        :paramtype derived_model_ids: list[str]
+        :keyword inputs_schema:
+        :paramtype inputs_schema: list[~azure.mgmt.machinelearningservices.models.ModelSchema]
+        :keyword outputs_schema:
+        :paramtype outputs_schema: list[~azure.mgmt.machinelearningservices.models.ModelSchema]
+        :keyword sample_input_data:
+        :paramtype sample_input_data: str
+        :keyword sample_output_data:
+        :paramtype sample_output_data: str
+        :keyword resource_requirements:
+        :paramtype resource_requirements:
+         ~azure.mgmt.machinelearningservices.models.ContainerResourceRequirements
+        :keyword created_by:
+        :paramtype created_by: ~azure.mgmt.machinelearningservices.models.User
+        :keyword modified_by:
+        :paramtype modified_by: ~azure.mgmt.machinelearningservices.models.User
+        :keyword flavors: Dictionary of
+         <components·8urbg9·schemas·model·properties·flavors·additionalproperties>.
+        :paramtype flavors: dict[str, dict[str, str]]
+        :keyword model_format: Possible values include: "CUSTOM", "MLFLOW", "TRITON", "PRESETS".
+        :paramtype model_format: str or ~azure.mgmt.machinelearningservices.models.ModelFormatEnum
+        :keyword stage:
+        :paramtype stage: str
+        :keyword model_container_id:
+        :paramtype model_container_id: str
+        :keyword mms_id:
+        :paramtype mms_id: str
+        :keyword default_deployment_settings:
+        :paramtype default_deployment_settings:
+         ~azure.mgmt.machinelearningservices.models.ModelDeploymentSettings
+        :keyword is_anonymous:
+        :paramtype is_anonymous: bool
+        :keyword is_archived:
+        :paramtype is_archived: bool
+        :keyword is_registered:
+        :paramtype is_registered: bool
+        :keyword data_path:
+        :paramtype data_path: str
+        :keyword model_type:
+        :paramtype model_type: str
+        :keyword asset_id:
+        :paramtype asset_id: str
+        """
+        super(Model, self).__init__(**kwargs)
+        self.id = kwargs.get('id', None)
+        self.name = kwargs['name']
+        self.framework = kwargs.get('framework', None)
+        self.framework_version = kwargs.get('framework_version', None)
+        self.version = kwargs.get('version', None)
+        self.tags = kwargs.get('tags', None)
+        self.datasets = kwargs.get('datasets', None)
+        self.url = kwargs.get('url', None)
+        self.mime_type = kwargs['mime_type']
+        self.description = kwargs.get('description', None)
+        self.created_time = kwargs.get('created_time', None)
+        self.modified_time = kwargs.get('modified_time', None)
+        self.unpack = kwargs.get('unpack', None)
+        self.parent_model_id = kwargs.get('parent_model_id', None)
+        self.run_id = kwargs.get('run_id', None)
+        self.experiment_name = kwargs.get('experiment_name', None)
+        self.kv_tags = kwargs.get('kv_tags', None)
+        self.properties = kwargs.get('properties', None)
+        self.derived_model_ids = kwargs.get('derived_model_ids', None)
+        self.inputs_schema = kwargs.get('inputs_schema', None)
+        self.outputs_schema = kwargs.get('outputs_schema', None)
+        self.sample_input_data = kwargs.get('sample_input_data', None)
+        self.sample_output_data = kwargs.get('sample_output_data', None)
+        self.resource_requirements = kwargs.get('resource_requirements', None)
+        self.created_by = kwargs.get('created_by', None)
+        self.modified_by = kwargs.get('modified_by', None)
+        self.flavors = kwargs.get('flavors', None)
+        self.model_format = kwargs.get('model_format', None)
+        self.stage = kwargs.get('stage', None)
+        self.model_container_id = kwargs.get('model_container_id', None)
+        self.mms_id = kwargs.get('mms_id', None)
+        self.default_deployment_settings = kwargs.get('default_deployment_settings', None)
+        self.is_anonymous = kwargs.get('is_anonymous', None)
+        self.is_archived = kwargs.get('is_archived', None)
+        self.is_registered = kwargs.get('is_registered', None)
+        self.data_path = kwargs.get('data_path', None)
+        self.model_type = kwargs.get('model_type', None)
+        self.asset_id = kwargs.get('asset_id', None)
+
+
+class ModelBatchDto(msrest.serialization.Model):
+    """ModelBatchDto.
+
+    :ivar model_ids:
+    :vartype model_ids: list[str]
+    """
+
+    _attribute_map = {
+        'model_ids': {'key': 'modelIds', 'type': '[str]'},
+    }
+
+    def __init__(
+        self,
+        **kwargs
+    ):
+        """
+        :keyword model_ids:
+        :paramtype model_ids: list[str]
+        """
+        super(ModelBatchDto, self).__init__(**kwargs)
+        self.model_ids = kwargs.get('model_ids', None)
+
+
+class ModelBatchResponseDto(msrest.serialization.Model):
+    """ModelBatchResponseDto.
+
+    :ivar models: Dictionary of :code:`<Model>`.
+    :vartype models: dict[str, ~azure.mgmt.machinelearningservices.models.Model]
+    """
+
+    _attribute_map = {
+        'models': {'key': 'models', 'type': '{Model}'},
+    }
+
+    def __init__(
+        self,
+        **kwargs
+    ):
+        """
+        :keyword models: Dictionary of :code:`<Model>`.
+        :paramtype models: dict[str, ~azure.mgmt.machinelearningservices.models.Model]
+        """
+        super(ModelBatchResponseDto, self).__init__(**kwargs)
+        self.models = kwargs.get('models', None)
+
+
+class ModelContainerRequest(msrest.serialization.Model):
+    """ModelContainerRequest.
+
+    All required parameters must be populated in order to send to Azure.
+
+    :ivar name: Required.
+    :vartype name: str
+    :ivar description:
+    :vartype description: str
+    :ivar kv_tags: Dictionary of :code:`<string>`.
+    :vartype kv_tags: dict[str, str]
+    :ivar is_archived:
+    :vartype is_archived: bool
+    :ivar is_registered:
+    :vartype is_registered: bool
+    """
+
+    _validation = {
+        'name': {'required': True},
+    }
+
+    _attribute_map = {
+        'name': {'key': 'name', 'type': 'str'},
+        'description': {'key': 'description', 'type': 'str'},
+        'kv_tags': {'key': 'kvTags', 'type': '{str}'},
+        'is_archived': {'key': 'isArchived', 'type': 'bool'},
+        'is_registered': {'key': 'isRegistered', 'type': 'bool'},
+    }
+
+    def __init__(
+        self,
+        **kwargs
+    ):
+        """
+        :keyword name: Required.
+        :paramtype name: str
+        :keyword description:
+        :paramtype description: str
+        :keyword kv_tags: Dictionary of :code:`<string>`.
+        :paramtype kv_tags: dict[str, str]
+        :keyword is_archived:
+        :paramtype is_archived: bool
+        :keyword is_registered:
+        :paramtype is_registered: bool
+        """
+        super(ModelContainerRequest, self).__init__(**kwargs)
+        self.name = kwargs['name']
+        self.description = kwargs.get('description', None)
+        self.kv_tags = kwargs.get('kv_tags', None)
+        self.is_archived = kwargs.get('is_archived', None)
+        self.is_registered = kwargs.get('is_registered', None)
+
+
+class ModelDeploymentSettings(msrest.serialization.Model):
+    """ModelDeploymentSettings.
+
+    All required parameters must be populated in order to send to Azure.
+
+    :ivar model_format: Required. Possible values include: "CUSTOM", "MLFLOW", "TRITON", "PRESETS".
+    :vartype model_format: str or ~azure.mgmt.machinelearningservices.models.ModelFormatEnum
+    :ivar model_name:
+    :vartype model_name: str
+    :ivar model_version:
+    :vartype model_version: str
+    :ivar model_type:
+    :vartype model_type: str
+    """
+
+    _validation = {
+        'model_format': {'required': True},
+    }
+
+    _attribute_map = {
+        'model_format': {'key': 'modelFormat', 'type': 'str'},
+        'model_name': {'key': 'ModelName', 'type': 'str'},
+        'model_version': {'key': 'ModelVersion', 'type': 'str'},
+        'model_type': {'key': 'ModelType', 'type': 'str'},
+    }
+
+    def __init__(
+        self,
+        **kwargs
+    ):
+        """
+        :keyword model_format: Required. Possible values include: "CUSTOM", "MLFLOW", "TRITON",
+         "PRESETS".
+        :paramtype model_format: str or ~azure.mgmt.machinelearningservices.models.ModelFormatEnum
+        :keyword model_name:
+        :paramtype model_name: str
+        :keyword model_version:
+        :paramtype model_version: str
+        :keyword model_type:
+        :paramtype model_type: str
+        """
+        super(ModelDeploymentSettings, self).__init__(**kwargs)
+        self.model_format = kwargs['model_format']
+        self.model_name = kwargs.get('model_name', None)
+        self.model_version = kwargs.get('model_version', None)
+        self.model_type = kwargs.get('model_type', None)
+
+
+class ModelListModelsRequestPagedResponse(msrest.serialization.Model):
+    """ModelListModelsRequestPagedResponse.
+
+    :ivar value:
+    :vartype value: list[~azure.mgmt.machinelearningservices.models.Model]
+    :ivar next_link:
+    :vartype next_link: str
+    :ivar continuation_token:
+    :vartype continuation_token: str
+    :ivar next_request:
+    :vartype next_request: ~azure.mgmt.machinelearningservices.models.ListModelsRequest
+    """
+
+    _attribute_map = {
+        'value': {'key': 'value', 'type': '[Model]'},
+        'next_link': {'key': 'nextLink', 'type': 'str'},
+        'continuation_token': {'key': 'continuationToken', 'type': 'str'},
+        'next_request': {'key': 'nextRequest', 'type': 'ListModelsRequest'},
+    }
+
+    def __init__(
+        self,
+        **kwargs
+    ):
+        """
+        :keyword value:
+        :paramtype value: list[~azure.mgmt.machinelearningservices.models.Model]
+        :keyword next_link:
+        :paramtype next_link: str
+        :keyword continuation_token:
+        :paramtype continuation_token: str
+        :keyword next_request:
+        :paramtype next_request: ~azure.mgmt.machinelearningservices.models.ListModelsRequest
+        """
+        super(ModelListModelsRequestPagedResponse, self).__init__(**kwargs)
+        self.value = kwargs.get('value', None)
+        self.next_link = kwargs.get('next_link', None)
+        self.continuation_token = kwargs.get('continuation_token', None)
+        self.next_request = kwargs.get('next_request', None)
+
+
+class ModelPagedResponse(msrest.serialization.Model):
+    """ModelPagedResponse.
+
+    :ivar value:
+    :vartype value: list[~azure.mgmt.machinelearningservices.models.Model]
+    :ivar continuation_token:
+    :vartype continuation_token: str
+    :ivar next_link:
+    :vartype next_link: str
+    """
+
+    _attribute_map = {
+        'value': {'key': 'value', 'type': '[Model]'},
+        'continuation_token': {'key': 'continuationToken', 'type': 'str'},
+        'next_link': {'key': 'nextLink', 'type': 'str'},
+    }
+
+    def __init__(
+        self,
+        **kwargs
+    ):
+        """
+        :keyword value:
+        :paramtype value: list[~azure.mgmt.machinelearningservices.models.Model]
+        :keyword continuation_token:
+        :paramtype continuation_token: str
+        :keyword next_link:
+        :paramtype next_link: str
+        """
+        super(ModelPagedResponse, self).__init__(**kwargs)
+        self.value = kwargs.get('value', None)
+        self.continuation_token = kwargs.get('continuation_token', None)
+        self.next_link = kwargs.get('next_link', None)
+
+
+class ModelPathResponseDto(msrest.serialization.Model):
+    """ModelPathResponseDto.
+
+    :ivar path:
+    :vartype path: str
+    :ivar type:
+    :vartype type: str
+    """
+
+    _attribute_map = {
+        'path': {'key': 'path', 'type': 'str'},
+        'type': {'key': 'type', 'type': 'str'},
+    }
+
+    def __init__(
+        self,
+        **kwargs
+    ):
+        """
+        :keyword path:
+        :paramtype path: str
+        :keyword type:
+        :paramtype type: str
+        """
+        super(ModelPathResponseDto, self).__init__(**kwargs)
+        self.path = kwargs.get('path', None)
+        self.type = kwargs.get('type', None)
+
+
+class ModelSchema(msrest.serialization.Model):
+    """ModelSchema.
+
+    All required parameters must be populated in order to send to Azure.
+
+    :ivar name: Required.
+    :vartype name: str
+    :ivar data_type: Possible values include: "undefined", "bool", "uint8", "uint16", "uint32",
+     "uint64", "int8", "int16", "int32", "int64", "float16", "float32", "float64", "bfloat16",
+     "complex64", "complex128", "string".
+    :vartype data_type: str or ~azure.mgmt.machinelearningservices.models.ModelSchemaDataType
+    :ivar shape:
+    :vartype shape: list[int]
+    """
+
+    _validation = {
+        'name': {'required': True},
+    }
+
+    _attribute_map = {
+        'name': {'key': 'name', 'type': 'str'},
+        'data_type': {'key': 'dataType', 'type': 'str'},
+        'shape': {'key': 'shape', 'type': '[int]'},
+    }
+
+    def __init__(
+        self,
+        **kwargs
+    ):
+        """
+        :keyword name: Required.
+        :paramtype name: str
+        :keyword data_type: Possible values include: "undefined", "bool", "uint8", "uint16", "uint32",
+         "uint64", "int8", "int16", "int32", "int64", "float16", "float32", "float64", "bfloat16",
+         "complex64", "complex128", "string".
+        :paramtype data_type: str or ~azure.mgmt.machinelearningservices.models.ModelSchemaDataType
+        :keyword shape:
+        :paramtype shape: list[int]
+        """
+        super(ModelSchema, self).__init__(**kwargs)
+        self.name = kwargs['name']
+        self.data_type = kwargs.get('data_type', None)
+        self.shape = kwargs.get('shape', None)
+
+
+class ModelSettingsIdentifiers(msrest.serialization.Model):
+    """ModelSettingsIdentifiers.
+
+    :ivar model_id:
+    :vartype model_id: str
+    :ivar engine_id:
+    :vartype engine_id: str
+    """
+
+    _attribute_map = {
+        'model_id': {'key': 'modelId', 'type': 'str'},
+        'engine_id': {'key': 'engineId', 'type': 'str'},
+    }
+
+    def __init__(
+        self,
+        **kwargs
+    ):
+        """
+        :keyword model_id:
+        :paramtype model_id: str
+        :keyword engine_id:
+        :paramtype engine_id: str
+        """
+        super(ModelSettingsIdentifiers, self).__init__(**kwargs)
+        self.model_id = kwargs.get('model_id', None)
+        self.engine_id = kwargs.get('engine_id', None)
+
+
+class Operation(msrest.serialization.Model):
+    """Operation.
+
+    :ivar value: Anything.
+    :vartype value: any
+    :ivar path:
+    :vartype path: str
+    :ivar op:
+    :vartype op: str
+    :ivar from_property:
+    :vartype from_property: str
+    """
+
+    _attribute_map = {
+        'value': {'key': 'value', 'type': 'object'},
+        'path': {'key': 'path', 'type': 'str'},
+        'op': {'key': 'op', 'type': 'str'},
+        'from_property': {'key': 'from', 'type': 'str'},
+    }
+
+    def __init__(
+        self,
+        **kwargs
+    ):
+        """
+        :keyword value: Anything.
+        :paramtype value: any
+        :keyword path:
+        :paramtype path: str
+        :keyword op:
+        :paramtype op: str
+        :keyword from_property:
+        :paramtype from_property: str
+        """
+        super(Operation, self).__init__(**kwargs)
+        self.value = kwargs.get('value', None)
+        self.path = kwargs.get('path', None)
+        self.op = kwargs.get('op', None)
+        self.from_property = kwargs.get('from_property', None)
+
+
+class ProviderFeedEntityRequestDto(msrest.serialization.Model):
+    """ProviderFeedEntityRequestDto.
+
+    :ivar source_and_target_asset_ids:
+    :vartype source_and_target_asset_ids:
+     ~azure.mgmt.machinelearningservices.models.DependencyMapItemDto
+    :ivar dependency_map_dto:
+    :vartype dependency_map_dto: ~azure.mgmt.machinelearningservices.models.DependencyMapDto
+    :ivar label_to_version_mapping: Dictionary of :code:`<string>`.
+    :vartype label_to_version_mapping: dict[str, str]
+    """
+
+    _attribute_map = {
+        'source_and_target_asset_ids': {'key': 'sourceAndTargetAssetIds', 'type': 'DependencyMapItemDto'},
+        'dependency_map_dto': {'key': 'dependencyMapDto', 'type': 'DependencyMapDto'},
+        'label_to_version_mapping': {'key': 'labelToVersionMapping', 'type': '{str}'},
+    }
+
+    def __init__(
+        self,
+        **kwargs
+    ):
+        """
+        :keyword source_and_target_asset_ids:
+        :paramtype source_and_target_asset_ids:
+         ~azure.mgmt.machinelearningservices.models.DependencyMapItemDto
+        :keyword dependency_map_dto:
+        :paramtype dependency_map_dto: ~azure.mgmt.machinelearningservices.models.DependencyMapDto
+        :keyword label_to_version_mapping: Dictionary of :code:`<string>`.
+        :paramtype label_to_version_mapping: dict[str, str]
+        """
+        super(ProviderFeedEntityRequestDto, self).__init__(**kwargs)
+        self.source_and_target_asset_ids = kwargs.get('source_and_target_asset_ids', None)
+        self.dependency_map_dto = kwargs.get('dependency_map_dto', None)
+        self.label_to_version_mapping = kwargs.get('label_to_version_mapping', None)
+
+
+class Relationship(msrest.serialization.Model):
+    """Relationship.
+
+    Variables are only populated by the server, and will be ignored when sending a request.
+
+    :ivar additional_properties: Unmatched properties from the message are deserialized to this
+     collection.
+    :vartype additional_properties: dict[str, any]
+    :ivar relation_type:
+    :vartype relation_type: str
+    :ivar target_entity_id:
+    :vartype target_entity_id: str
+    :ivar asset_id:
+    :vartype asset_id: str
+    :ivar entity_type:
+    :vartype entity_type: str
+    :ivar direction:
+    :vartype direction: str
+    :ivar entity_container_id:
+    :vartype entity_container_id: str
+    """
+
+    _validation = {
+        'entity_type': {'readonly': True},
+        'entity_container_id': {'readonly': True},
+    }
+
+    _attribute_map = {
+        'additional_properties': {'key': '', 'type': '{object}'},
+        'relation_type': {'key': 'relationType', 'type': 'str'},
+        'target_entity_id': {'key': 'targetEntityId', 'type': 'str'},
+        'asset_id': {'key': 'assetId', 'type': 'str'},
+        'entity_type': {'key': 'entityType', 'type': 'str'},
+        'direction': {'key': 'direction', 'type': 'str'},
+        'entity_container_id': {'key': 'entityContainerId', 'type': 'str'},
+    }
+
+    def __init__(
+        self,
+        **kwargs
+    ):
+        """
+        :keyword additional_properties: Unmatched properties from the message are deserialized to this
+         collection.
+        :paramtype additional_properties: dict[str, any]
+        :keyword relation_type:
+        :paramtype relation_type: str
+        :keyword target_entity_id:
+        :paramtype target_entity_id: str
+        :keyword asset_id:
+        :paramtype asset_id: str
+        :keyword direction:
+        :paramtype direction: str
+        """
+        super(Relationship, self).__init__(**kwargs)
+        self.additional_properties = kwargs.get('additional_properties', None)
+        self.relation_type = kwargs.get('relation_type', None)
+        self.target_entity_id = kwargs.get('target_entity_id', None)
+        self.asset_id = kwargs.get('asset_id', None)
+        self.entity_type = None
+        self.direction = kwargs.get('direction', None)
+        self.entity_container_id = None
+
+
+class ServiceResponseBase(msrest.serialization.Model):
+    """ServiceResponseBase.
+
+    :ivar id:
+    :vartype id: str
+    :ivar name:
+    :vartype name: str
+    :ivar description:
+    :vartype description: str
+    :ivar tags: A set of tags.
+    :vartype tags: list[str]
+    :ivar kv_tags: Dictionary of :code:`<string>`.
+    :vartype kv_tags: dict[str, str]
+    :ivar properties: Dictionary of :code:`<string>`.
+    :vartype properties: dict[str, str]
+    :ivar operation_id:
+    :vartype operation_id: str
+    :ivar state: Possible values include: "Transitioning", "Healthy", "Unhealthy", "Failed",
+     "Unschedulable".
+    :vartype state: str or ~azure.mgmt.machinelearningservices.models.WebServiceState
+    :ivar created_time:
+    :vartype created_time: ~datetime.datetime
+    :ivar updated_time:
+    :vartype updated_time: ~datetime.datetime
+    :ivar error:
+    :vartype error: ~azure.mgmt.machinelearningservices.models.ErrorResponse
+    :ivar compute_type: Possible values include: "ACS", "FPGA", "ACI", "AKS", "AMLCOMPUTE", "IOT",
+     "MIR", "AKSENDPOINT", "MIRSINGLEMODEL", "MIRAMLCOMPUTE", "MIRGA", "AMLARC", "BATCHAMLCOMPUTE",
+     "UNKNOWN".
+    :vartype compute_type: str or ~azure.mgmt.machinelearningservices.models.ComputeEnvironmentType
+    :ivar deployment_type: Possible values include: "GRPCRealtimeEndpoint", "HttpRealtimeEndpoint",
+     "Batch".
+    :vartype deployment_type: str or ~azure.mgmt.machinelearningservices.models.DeploymentType
+    :ivar created_by:
+    :vartype created_by: ~azure.mgmt.machinelearningservices.models.User
+    :ivar endpoint_name:
+    :vartype endpoint_name: str
+    """
+
+    _attribute_map = {
+        'id': {'key': 'id', 'type': 'str'},
+        'name': {'key': 'name', 'type': 'str'},
+        'description': {'key': 'description', 'type': 'str'},
+        'tags': {'key': 'tags', 'type': '[str]'},
+        'kv_tags': {'key': 'kvTags', 'type': '{str}'},
+        'properties': {'key': 'properties', 'type': '{str}'},
+        'operation_id': {'key': 'operationId', 'type': 'str'},
+        'state': {'key': 'state', 'type': 'str'},
+        'created_time': {'key': 'createdTime', 'type': 'iso-8601'},
+        'updated_time': {'key': 'updatedTime', 'type': 'iso-8601'},
+        'error': {'key': 'error', 'type': 'ErrorResponse'},
+        'compute_type': {'key': 'computeType', 'type': 'str'},
+        'deployment_type': {'key': 'deploymentType', 'type': 'str'},
+        'created_by': {'key': 'createdBy', 'type': 'User'},
+        'endpoint_name': {'key': 'endpointName', 'type': 'str'},
+    }
+
+    def __init__(
+        self,
+        **kwargs
+    ):
+        """
+        :keyword id:
+        :paramtype id: str
+        :keyword name:
+        :paramtype name: str
+        :keyword description:
+        :paramtype description: str
+        :keyword tags: A set of tags.
+        :paramtype tags: list[str]
+        :keyword kv_tags: Dictionary of :code:`<string>`.
+        :paramtype kv_tags: dict[str, str]
+        :keyword properties: Dictionary of :code:`<string>`.
+        :paramtype properties: dict[str, str]
+        :keyword operation_id:
+        :paramtype operation_id: str
+        :keyword state: Possible values include: "Transitioning", "Healthy", "Unhealthy", "Failed",
+         "Unschedulable".
+        :paramtype state: str or ~azure.mgmt.machinelearningservices.models.WebServiceState
+        :keyword created_time:
+        :paramtype created_time: ~datetime.datetime
+        :keyword updated_time:
+        :paramtype updated_time: ~datetime.datetime
+        :keyword error:
+        :paramtype error: ~azure.mgmt.machinelearningservices.models.ErrorResponse
+        :keyword compute_type: Possible values include: "ACS", "FPGA", "ACI", "AKS", "AMLCOMPUTE",
+         "IOT", "MIR", "AKSENDPOINT", "MIRSINGLEMODEL", "MIRAMLCOMPUTE", "MIRGA", "AMLARC",
+         "BATCHAMLCOMPUTE", "UNKNOWN".
+        :paramtype compute_type: str or
+         ~azure.mgmt.machinelearningservices.models.ComputeEnvironmentType
+        :keyword deployment_type: Possible values include: "GRPCRealtimeEndpoint",
+         "HttpRealtimeEndpoint", "Batch".
+        :paramtype deployment_type: str or ~azure.mgmt.machinelearningservices.models.DeploymentType
+        :keyword created_by:
+        :paramtype created_by: ~azure.mgmt.machinelearningservices.models.User
+        :keyword endpoint_name:
+        :paramtype endpoint_name: str
+        """
+        super(ServiceResponseBase, self).__init__(**kwargs)
+        self.id = kwargs.get('id', None)
+        self.name = kwargs.get('name', None)
+        self.description = kwargs.get('description', None)
+        self.tags = kwargs.get('tags', None)
+        self.kv_tags = kwargs.get('kv_tags', None)
+        self.properties = kwargs.get('properties', None)
+        self.operation_id = kwargs.get('operation_id', None)
+        self.state = kwargs.get('state', None)
+        self.created_time = kwargs.get('created_time', None)
+        self.updated_time = kwargs.get('updated_time', None)
+        self.error = kwargs.get('error', None)
+        self.compute_type = kwargs.get('compute_type', None)
+        self.deployment_type = kwargs.get('deployment_type', None)
+        self.created_by = kwargs.get('created_by', None)
+        self.endpoint_name = kwargs.get('endpoint_name', None)
+
+
+class User(msrest.serialization.Model):
+    """User.
+
+    :ivar user_object_id:
+    :vartype user_object_id: str
+    :ivar user_pu_id:
+    :vartype user_pu_id: str
+    :ivar user_idp:
+    :vartype user_idp: str
+    :ivar user_alt_sec_id:
+    :vartype user_alt_sec_id: str
+    :ivar user_iss:
+    :vartype user_iss: str
+    :ivar user_tenant_id:
+    :vartype user_tenant_id: str
+    :ivar user_name:
+    :vartype user_name: str
+    :ivar upn:
+    :vartype upn: str
+    """
+
+    _attribute_map = {
+        'user_object_id': {'key': 'userObjectId', 'type': 'str'},
+        'user_pu_id': {'key': 'userPuId', 'type': 'str'},
+        'user_idp': {'key': 'userIdp', 'type': 'str'},
+        'user_alt_sec_id': {'key': 'userAltSecId', 'type': 'str'},
+        'user_iss': {'key': 'userIss', 'type': 'str'},
+        'user_tenant_id': {'key': 'userTenantId', 'type': 'str'},
+        'user_name': {'key': 'userName', 'type': 'str'},
+        'upn': {'key': 'upn', 'type': 'str'},
+    }
+
+    def __init__(
+        self,
+        **kwargs
+    ):
+        """
+        :keyword user_object_id:
+        :paramtype user_object_id: str
+        :keyword user_pu_id:
+        :paramtype user_pu_id: str
+        :keyword user_idp:
+        :paramtype user_idp: str
+        :keyword user_alt_sec_id:
+        :paramtype user_alt_sec_id: str
+        :keyword user_iss:
+        :paramtype user_iss: str
+        :keyword user_tenant_id:
+        :paramtype user_tenant_id: str
+        :keyword user_name:
+        :paramtype user_name: str
+        :keyword upn:
+        :paramtype upn: str
+        """
+        super(User, self).__init__(**kwargs)
+        self.user_object_id = kwargs.get('user_object_id', None)
+        self.user_pu_id = kwargs.get('user_pu_id', None)
+        self.user_idp = kwargs.get('user_idp', None)
+        self.user_alt_sec_id = kwargs.get('user_alt_sec_id', None)
+        self.user_iss = kwargs.get('user_iss', None)
+        self.user_tenant_id = kwargs.get('user_tenant_id', None)
+        self.user_name = kwargs.get('user_name', None)
+        self.upn = kwargs.get('upn', None)
diff --git a/.venv/lib/python3.12/site-packages/azure/ai/ml/_restclient/model_dataplane/models/_models_py3.py b/.venv/lib/python3.12/site-packages/azure/ai/ml/_restclient/model_dataplane/models/_models_py3.py
new file mode 100644
index 00000000..d44c7acc
--- /dev/null
+++ b/.venv/lib/python3.12/site-packages/azure/ai/ml/_restclient/model_dataplane/models/_models_py3.py
@@ -0,0 +1,2535 @@
+# coding=utf-8
+# --------------------------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# Licensed under the MIT License. See License.txt in the project root for license information.
+# Code generated by Microsoft (R) AutoRest Code Generator.
+# Changes may cause incorrect behavior and will be lost if the code is regenerated.
+# --------------------------------------------------------------------------
+
+import datetime
+from typing import Any, Dict, List, Optional, Union
+
+import msrest.serialization
+
+from ._azure_machine_learning_workspaces_enums import *
+
+
+class Artifact(msrest.serialization.Model):
+    """Artifact.
+
+    :ivar id:
+    :vartype id: str
+    :ivar prefix:
+    :vartype prefix: str
+    """
+
+    _attribute_map = {
+        'id': {'key': 'id', 'type': 'str'},
+        'prefix': {'key': 'prefix', 'type': 'str'},
+    }
+
+    def __init__(
+        self,
+        *,
+        id: Optional[str] = None,
+        prefix: Optional[str] = None,
+        **kwargs
+    ):
+        """
+        :keyword id:
+        :paramtype id: str
+        :keyword prefix:
+        :paramtype prefix: str
+        """
+        super(Artifact, self).__init__(**kwargs)
+        self.id = id
+        self.prefix = prefix
+
+
+class Asset(msrest.serialization.Model):
+    """Asset.
+
+    All required parameters must be populated in order to send to Azure.
+
+    :ivar id:
+    :vartype id: str
+    :ivar name: Required.
+    :vartype name: str
+    :ivar type:
+    :vartype type: str
+    :ivar description:
+    :vartype description: str
+    :ivar artifacts:
+    :vartype artifacts: list[~azure.mgmt.machinelearningservices.models.Artifact]
+    :ivar kv_tags: Dictionary of :code:`<string>`.
+    :vartype kv_tags: dict[str, str]
+    :ivar properties: Dictionary of :code:`<string>`.
+    :vartype properties: dict[str, str]
+    :ivar runid:
+    :vartype runid: str
+    :ivar projectid:
+    :vartype projectid: str
+    :ivar meta: Dictionary of :code:`<string>`.
+    :vartype meta: dict[str, str]
+    :ivar created_time:
+    :vartype created_time: ~datetime.datetime
+    """
+
+    _validation = {
+        'name': {'required': True},
+    }
+
+    _attribute_map = {
+        'id': {'key': 'id', 'type': 'str'},
+        'name': {'key': 'name', 'type': 'str'},
+        'type': {'key': 'type', 'type': 'str'},
+        'description': {'key': 'description', 'type': 'str'},
+        'artifacts': {'key': 'artifacts', 'type': '[Artifact]'},
+        'kv_tags': {'key': 'kvTags', 'type': '{str}'},
+        'properties': {'key': 'properties', 'type': '{str}'},
+        'runid': {'key': 'runid', 'type': 'str'},
+        'projectid': {'key': 'projectid', 'type': 'str'},
+        'meta': {'key': 'meta', 'type': '{str}'},
+        'created_time': {'key': 'createdTime', 'type': 'iso-8601'},
+    }
+
+    def __init__(
+        self,
+        *,
+        name: str,
+        id: Optional[str] = None,
+        type: Optional[str] = None,
+        description: Optional[str] = None,
+        artifacts: Optional[List["Artifact"]] = None,
+        kv_tags: Optional[Dict[str, str]] = None,
+        properties: Optional[Dict[str, str]] = None,
+        runid: Optional[str] = None,
+        projectid: Optional[str] = None,
+        meta: Optional[Dict[str, str]] = None,
+        created_time: Optional[datetime.datetime] = None,
+        **kwargs
+    ):
+        """
+        :keyword id:
+        :paramtype id: str
+        :keyword name: Required.
+        :paramtype name: str
+        :keyword type:
+        :paramtype type: str
+        :keyword description:
+        :paramtype description: str
+        :keyword artifacts:
+        :paramtype artifacts: list[~azure.mgmt.machinelearningservices.models.Artifact]
+        :keyword kv_tags: Dictionary of :code:`<string>`.
+        :paramtype kv_tags: dict[str, str]
+        :keyword properties: Dictionary of :code:`<string>`.
+        :paramtype properties: dict[str, str]
+        :keyword runid:
+        :paramtype runid: str
+        :keyword projectid:
+        :paramtype projectid: str
+        :keyword meta: Dictionary of :code:`<string>`.
+        :paramtype meta: dict[str, str]
+        :keyword created_time:
+        :paramtype created_time: ~datetime.datetime
+        """
+        super(Asset, self).__init__(**kwargs)
+        self.id = id
+        self.name = name
+        self.type = type
+        self.description = description
+        self.artifacts = artifacts
+        self.kv_tags = kv_tags
+        self.properties = properties
+        self.runid = runid
+        self.projectid = projectid
+        self.meta = meta
+        self.created_time = created_time
+
+
+class AssetDto(msrest.serialization.Model):
+    """AssetDto.
+
+    :ivar asset_id:
+    :vartype asset_id: str
+    :ivar entity_id:
+    :vartype entity_id: str
+    :ivar data_items: Dictionary of :code:`<DataItem>`.
+    :vartype data_items: dict[str, ~azure.mgmt.machinelearningservices.models.DataItem]
+    :ivar data_references:
+    :vartype data_references: ~azure.mgmt.machinelearningservices.models.DataReferences
+    :ivar should_index:
+    :vartype should_index: bool
+    :ivar dependencies:
+    :vartype dependencies: list[~azure.mgmt.machinelearningservices.models.DependentAsset]
+    :ivar intellectual_property_publisher_information:
+    :vartype intellectual_property_publisher_information:
+     ~azure.mgmt.machinelearningservices.models.IntellectualPropertyPublisherInformation
+    """
+
+    _attribute_map = {
+        'asset_id': {'key': 'assetId', 'type': 'str'},
+        'entity_id': {'key': 'entityId', 'type': 'str'},
+        'data_items': {'key': 'dataItems', 'type': '{DataItem}'},
+        'data_references': {'key': 'dataReferences', 'type': 'DataReferences'},
+        'should_index': {'key': 'shouldIndex', 'type': 'bool'},
+        'dependencies': {'key': 'dependencies', 'type': '[DependentAsset]'},
+        'intellectual_property_publisher_information': {'key': 'intellectualPropertyPublisherInformation', 'type': 'IntellectualPropertyPublisherInformation'},
+    }
+
+    def __init__(
+        self,
+        *,
+        asset_id: Optional[str] = None,
+        entity_id: Optional[str] = None,
+        data_items: Optional[Dict[str, "DataItem"]] = None,
+        data_references: Optional["DataReferences"] = None,
+        should_index: Optional[bool] = None,
+        dependencies: Optional[List["DependentAsset"]] = None,
+        intellectual_property_publisher_information: Optional["IntellectualPropertyPublisherInformation"] = None,
+        **kwargs
+    ):
+        """
+        :keyword asset_id:
+        :paramtype asset_id: str
+        :keyword entity_id:
+        :paramtype entity_id: str
+        :keyword data_items: Dictionary of :code:`<DataItem>`.
+        :paramtype data_items: dict[str, ~azure.mgmt.machinelearningservices.models.DataItem]
+        :keyword data_references:
+        :paramtype data_references: ~azure.mgmt.machinelearningservices.models.DataReferences
+        :keyword should_index:
+        :paramtype should_index: bool
+        :keyword dependencies:
+        :paramtype dependencies: list[~azure.mgmt.machinelearningservices.models.DependentAsset]
+        :keyword intellectual_property_publisher_information:
+        :paramtype intellectual_property_publisher_information:
+         ~azure.mgmt.machinelearningservices.models.IntellectualPropertyPublisherInformation
+        """
+        super(AssetDto, self).__init__(**kwargs)
+        self.asset_id = asset_id
+        self.entity_id = entity_id
+        self.data_items = data_items
+        self.data_references = data_references
+        self.should_index = should_index
+        self.dependencies = dependencies
+        self.intellectual_property_publisher_information = intellectual_property_publisher_information
+
+
+class AssetPaginatedResult(msrest.serialization.Model):
+    """AssetPaginatedResult.
+
+    :ivar value:
+    :vartype value: list[~azure.mgmt.machinelearningservices.models.Asset]
+    :ivar continuation_token:
+    :vartype continuation_token: str
+    :ivar next_link:
+    :vartype next_link: str
+    """
+
+    _attribute_map = {
+        'value': {'key': 'value', 'type': '[Asset]'},
+        'continuation_token': {'key': 'continuationToken', 'type': 'str'},
+        'next_link': {'key': 'nextLink', 'type': 'str'},
+    }
+
+    def __init__(
+        self,
+        *,
+        value: Optional[List["Asset"]] = None,
+        continuation_token: Optional[str] = None,
+        next_link: Optional[str] = None,
+        **kwargs
+    ):
+        """
+        :keyword value:
+        :paramtype value: list[~azure.mgmt.machinelearningservices.models.Asset]
+        :keyword continuation_token:
+        :paramtype continuation_token: str
+        :keyword next_link:
+        :paramtype next_link: str
+        """
+        super(AssetPaginatedResult, self).__init__(**kwargs)
+        self.value = value
+        self.continuation_token = continuation_token
+        self.next_link = next_link
+
+
+class BatchGetResolvedUrisDto(msrest.serialization.Model):
+    """BatchGetResolvedUrisDto.
+
+    :ivar values:
+    :vartype values: list[str]
+    """
+
+    _attribute_map = {
+        'values': {'key': 'values', 'type': '[str]'},
+    }
+
+    def __init__(
+        self,
+        *,
+        values: Optional[List[str]] = None,
+        **kwargs
+    ):
+        """
+        :keyword values:
+        :paramtype values: list[str]
+        """
+        super(BatchGetResolvedUrisDto, self).__init__(**kwargs)
+        self.values = values
+
+
+class BatchModelPathResponseDto(msrest.serialization.Model):
+    """BatchModelPathResponseDto.
+
+    :ivar values: Dictionary of :code:`<ModelPathResponseDto>`.
+    :vartype values: dict[str, ~azure.mgmt.machinelearningservices.models.ModelPathResponseDto]
+    """
+
+    _attribute_map = {
+        'values': {'key': 'values', 'type': '{ModelPathResponseDto}'},
+    }
+
+    def __init__(
+        self,
+        *,
+        values: Optional[Dict[str, "ModelPathResponseDto"]] = None,
+        **kwargs
+    ):
+        """
+        :keyword values: Dictionary of :code:`<ModelPathResponseDto>`.
+        :paramtype values: dict[str, ~azure.mgmt.machinelearningservices.models.ModelPathResponseDto]
+        """
+        super(BatchModelPathResponseDto, self).__init__(**kwargs)
+        self.values = values
+
+
+class BlobReference(msrest.serialization.Model):
+    """BlobReference.
+
+    :ivar blob_uri:
+    :vartype blob_uri: str
+    :ivar storage_account_arm_id:
+    :vartype storage_account_arm_id: str
+    """
+
+    _attribute_map = {
+        'blob_uri': {'key': 'blobUri', 'type': 'str'},
+        'storage_account_arm_id': {'key': 'storageAccountArmId', 'type': 'str'},
+    }
+
+    def __init__(
+        self,
+        *,
+        blob_uri: Optional[str] = None,
+        storage_account_arm_id: Optional[str] = None,
+        **kwargs
+    ):
+        """
+        :keyword blob_uri:
+        :paramtype blob_uri: str
+        :keyword storage_account_arm_id:
+        :paramtype storage_account_arm_id: str
+        """
+        super(BlobReference, self).__init__(**kwargs)
+        self.blob_uri = blob_uri
+        self.storage_account_arm_id = storage_account_arm_id
+
+
+class BlobReferenceForConsumptionDto(msrest.serialization.Model):
+    """BlobReferenceForConsumptionDto.
+
+    :ivar blob_uri:
+    :vartype blob_uri: str
+    :ivar storage_account_arm_id:
+    :vartype storage_account_arm_id: str
+    :ivar credential:
+    :vartype credential: ~azure.mgmt.machinelearningservices.models.DataReferenceCredentialDto
+    """
+
+    _attribute_map = {
+        'blob_uri': {'key': 'blobUri', 'type': 'str'},
+        'storage_account_arm_id': {'key': 'storageAccountArmId', 'type': 'str'},
+        'credential': {'key': 'credential', 'type': 'DataReferenceCredentialDto'},
+    }
+
+    def __init__(
+        self,
+        *,
+        blob_uri: Optional[str] = None,
+        storage_account_arm_id: Optional[str] = None,
+        credential: Optional["DataReferenceCredentialDto"] = None,
+        **kwargs
+    ):
+        """
+        :keyword blob_uri:
+        :paramtype blob_uri: str
+        :keyword storage_account_arm_id:
+        :paramtype storage_account_arm_id: str
+        :keyword credential:
+        :paramtype credential: ~azure.mgmt.machinelearningservices.models.DataReferenceCredentialDto
+        """
+        super(BlobReferenceForConsumptionDto, self).__init__(**kwargs)
+        self.blob_uri = blob_uri
+        self.storage_account_arm_id = storage_account_arm_id
+        self.credential = credential
+
+
+class ContainerResourceRequirements(msrest.serialization.Model):
+    """ContainerResourceRequirements.
+
+    :ivar cpu:
+    :vartype cpu: float
+    :ivar cpu_limit:
+    :vartype cpu_limit: float
+    :ivar memory_in_gb:
+    :vartype memory_in_gb: float
+    :ivar memory_in_gb_limit:
+    :vartype memory_in_gb_limit: float
+    :ivar gpu_enabled:
+    :vartype gpu_enabled: bool
+    :ivar gpu:
+    :vartype gpu: int
+    :ivar fpga:
+    :vartype fpga: int
+    """
+
+    _attribute_map = {
+        'cpu': {'key': 'cpu', 'type': 'float'},
+        'cpu_limit': {'key': 'cpuLimit', 'type': 'float'},
+        'memory_in_gb': {'key': 'memoryInGB', 'type': 'float'},
+        'memory_in_gb_limit': {'key': 'memoryInGBLimit', 'type': 'float'},
+        'gpu_enabled': {'key': 'gpuEnabled', 'type': 'bool'},
+        'gpu': {'key': 'gpu', 'type': 'int'},
+        'fpga': {'key': 'fpga', 'type': 'int'},
+    }
+
+    def __init__(
+        self,
+        *,
+        cpu: Optional[float] = None,
+        cpu_limit: Optional[float] = None,
+        memory_in_gb: Optional[float] = None,
+        memory_in_gb_limit: Optional[float] = None,
+        gpu_enabled: Optional[bool] = None,
+        gpu: Optional[int] = None,
+        fpga: Optional[int] = None,
+        **kwargs
+    ):
+        """
+        :keyword cpu:
+        :paramtype cpu: float
+        :keyword cpu_limit:
+        :paramtype cpu_limit: float
+        :keyword memory_in_gb:
+        :paramtype memory_in_gb: float
+        :keyword memory_in_gb_limit:
+        :paramtype memory_in_gb_limit: float
+        :keyword gpu_enabled:
+        :paramtype gpu_enabled: bool
+        :keyword gpu:
+        :paramtype gpu: int
+        :keyword fpga:
+        :paramtype fpga: int
+        """
+        super(ContainerResourceRequirements, self).__init__(**kwargs)
+        self.cpu = cpu
+        self.cpu_limit = cpu_limit
+        self.memory_in_gb = memory_in_gb
+        self.memory_in_gb_limit = memory_in_gb_limit
+        self.gpu_enabled = gpu_enabled
+        self.gpu = gpu
+        self.fpga = fpga
+
+
+class CreatedBy(msrest.serialization.Model):
+    """CreatedBy.
+
+    :ivar user_object_id:
+    :vartype user_object_id: str
+    :ivar user_tenant_id:
+    :vartype user_tenant_id: str
+    :ivar user_name:
+    :vartype user_name: str
+    """
+
+    _attribute_map = {
+        'user_object_id': {'key': 'userObjectId', 'type': 'str'},
+        'user_tenant_id': {'key': 'userTenantId', 'type': 'str'},
+        'user_name': {'key': 'userName', 'type': 'str'},
+    }
+
+    def __init__(
+        self,
+        *,
+        user_object_id: Optional[str] = None,
+        user_tenant_id: Optional[str] = None,
+        user_name: Optional[str] = None,
+        **kwargs
+    ):
+        """
+        :keyword user_object_id:
+        :paramtype user_object_id: str
+        :keyword user_tenant_id:
+        :paramtype user_tenant_id: str
+        :keyword user_name:
+        :paramtype user_name: str
+        """
+        super(CreatedBy, self).__init__(**kwargs)
+        self.user_object_id = user_object_id
+        self.user_tenant_id = user_tenant_id
+        self.user_name = user_name
+
+
+class CreateUnregisteredInputModelDto(msrest.serialization.Model):
+    """CreateUnregisteredInputModelDto.
+
+    :ivar run_id:
+    :vartype run_id: str
+    :ivar input_name:
+    :vartype input_name: str
+    :ivar path:
+    :vartype path: str
+    :ivar type:
+    :vartype type: str
+    """
+
+    _attribute_map = {
+        'run_id': {'key': 'runId', 'type': 'str'},
+        'input_name': {'key': 'inputName', 'type': 'str'},
+        'path': {'key': 'path', 'type': 'str'},
+        'type': {'key': 'type', 'type': 'str'},
+    }
+
+    def __init__(
+        self,
+        *,
+        run_id: Optional[str] = None,
+        input_name: Optional[str] = None,
+        path: Optional[str] = None,
+        type: Optional[str] = None,
+        **kwargs
+    ):
+        """
+        :keyword run_id:
+        :paramtype run_id: str
+        :keyword input_name:
+        :paramtype input_name: str
+        :keyword path:
+        :paramtype path: str
+        :keyword type:
+        :paramtype type: str
+        """
+        super(CreateUnregisteredInputModelDto, self).__init__(**kwargs)
+        self.run_id = run_id
+        self.input_name = input_name
+        self.path = path
+        self.type = type
+
+
+class CreateUnregisteredOutputModelDto(msrest.serialization.Model):
+    """CreateUnregisteredOutputModelDto.
+
+    :ivar run_id:
+    :vartype run_id: str
+    :ivar output_name:
+    :vartype output_name: str
+    :ivar path:
+    :vartype path: str
+    :ivar type:
+    :vartype type: str
+    """
+
+    _attribute_map = {
+        'run_id': {'key': 'runId', 'type': 'str'},
+        'output_name': {'key': 'outputName', 'type': 'str'},
+        'path': {'key': 'path', 'type': 'str'},
+        'type': {'key': 'type', 'type': 'str'},
+    }
+
+    def __init__(
+        self,
+        *,
+        run_id: Optional[str] = None,
+        output_name: Optional[str] = None,
+        path: Optional[str] = None,
+        type: Optional[str] = None,
+        **kwargs
+    ):
+        """
+        :keyword run_id:
+        :paramtype run_id: str
+        :keyword output_name:
+        :paramtype output_name: str
+        :keyword path:
+        :paramtype path: str
+        :keyword type:
+        :paramtype type: str
+        """
+        super(CreateUnregisteredOutputModelDto, self).__init__(**kwargs)
+        self.run_id = run_id
+        self.output_name = output_name
+        self.path = path
+        self.type = type
+
+
+class CreationContext(msrest.serialization.Model):
+    """CreationContext.
+
+    :ivar additional_properties: Unmatched properties from the message are deserialized to this
+     collection.
+    :vartype additional_properties: dict[str, any]
+    :ivar created_time:
+    :vartype created_time: ~datetime.datetime
+    :ivar created_by:
+    :vartype created_by: ~azure.mgmt.machinelearningservices.models.CreatedBy
+    :ivar creation_source:
+    :vartype creation_source: str
+    """
+
+    _attribute_map = {
+        'additional_properties': {'key': '', 'type': '{object}'},
+        'created_time': {'key': 'createdTime', 'type': 'iso-8601'},
+        'created_by': {'key': 'createdBy', 'type': 'CreatedBy'},
+        'creation_source': {'key': 'creationSource', 'type': 'str'},
+    }
+
+    def __init__(
+        self,
+        *,
+        additional_properties: Optional[Dict[str, Any]] = None,
+        created_time: Optional[datetime.datetime] = None,
+        created_by: Optional["CreatedBy"] = None,
+        creation_source: Optional[str] = None,
+        **kwargs
+    ):
+        """
+        :keyword additional_properties: Unmatched properties from the message are deserialized to this
+         collection.
+        :paramtype additional_properties: dict[str, any]
+        :keyword created_time:
+        :paramtype created_time: ~datetime.datetime
+        :keyword created_by:
+        :paramtype created_by: ~azure.mgmt.machinelearningservices.models.CreatedBy
+        :keyword creation_source:
+        :paramtype creation_source: str
+        """
+        super(CreationContext, self).__init__(**kwargs)
+        self.additional_properties = additional_properties
+        self.created_time = created_time
+        self.created_by = created_by
+        self.creation_source = creation_source
+
+
+class DataItem(msrest.serialization.Model):
+    """DataItem.
+
+    :ivar data: Anything.
+    :vartype data: any
+    """
+
+    _attribute_map = {
+        'data': {'key': 'data', 'type': 'object'},
+    }
+
+    def __init__(
+        self,
+        *,
+        data: Optional[Any] = None,
+        **kwargs
+    ):
+        """
+        :keyword data: Anything.
+        :paramtype data: any
+        """
+        super(DataItem, self).__init__(**kwargs)
+        self.data = data
+
+
+class DataReferenceCredentialDto(msrest.serialization.Model):
+    """DataReferenceCredentialDto.
+
+    :ivar additional_properties: Unmatched properties from the message are deserialized to this
+     collection.
+    :vartype additional_properties: dict[str, any]
+    :ivar credential_type:
+    :vartype credential_type: str
+    """
+
+    _attribute_map = {
+        'additional_properties': {'key': '', 'type': '{object}'},
+        'credential_type': {'key': 'credentialType', 'type': 'str'},
+    }
+
+    def __init__(
+        self,
+        *,
+        additional_properties: Optional[Dict[str, Any]] = None,
+        credential_type: Optional[str] = None,
+        **kwargs
+    ):
+        """
+        :keyword additional_properties: Unmatched properties from the message are deserialized to this
+         collection.
+        :paramtype additional_properties: dict[str, any]
+        :keyword credential_type:
+        :paramtype credential_type: str
+        """
+        super(DataReferenceCredentialDto, self).__init__(**kwargs)
+        self.additional_properties = additional_properties
+        self.credential_type = credential_type
+
+
+class DataReferences(msrest.serialization.Model):
+    """DataReferences.
+
+    :ivar blob_references: Dictionary of :code:`<BlobReference>`.
+    :vartype blob_references: dict[str, ~azure.mgmt.machinelearningservices.models.BlobReference]
+    :ivar image_registry_references: Dictionary of :code:`<ImageReference>`.
+    :vartype image_registry_references: dict[str,
+     ~azure.mgmt.machinelearningservices.models.ImageReference]
+    """
+
+    _attribute_map = {
+        'blob_references': {'key': 'blobReferences', 'type': '{BlobReference}'},
+        'image_registry_references': {'key': 'imageRegistryReferences', 'type': '{ImageReference}'},
+    }
+
+    def __init__(
+        self,
+        *,
+        blob_references: Optional[Dict[str, "BlobReference"]] = None,
+        image_registry_references: Optional[Dict[str, "ImageReference"]] = None,
+        **kwargs
+    ):
+        """
+        :keyword blob_references: Dictionary of :code:`<BlobReference>`.
+        :paramtype blob_references: dict[str, ~azure.mgmt.machinelearningservices.models.BlobReference]
+        :keyword image_registry_references: Dictionary of :code:`<ImageReference>`.
+        :paramtype image_registry_references: dict[str,
+         ~azure.mgmt.machinelearningservices.models.ImageReference]
+        """
+        super(DataReferences, self).__init__(**kwargs)
+        self.blob_references = blob_references
+        self.image_registry_references = image_registry_references
+
+
+class DataReferencesForConsumptionDto(msrest.serialization.Model):
+    """DataReferencesForConsumptionDto.
+
+    :ivar blob_references: Dictionary of :code:`<BlobReferenceForConsumptionDto>`.
+    :vartype blob_references: dict[str,
+     ~azure.mgmt.machinelearningservices.models.BlobReferenceForConsumptionDto]
+    :ivar image_registry_references: Dictionary of :code:`<ImageReferenceForConsumptionDto>`.
+    :vartype image_registry_references: dict[str,
+     ~azure.mgmt.machinelearningservices.models.ImageReferenceForConsumptionDto]
+    """
+
+    _attribute_map = {
+        'blob_references': {'key': 'blobReferences', 'type': '{BlobReferenceForConsumptionDto}'},
+        'image_registry_references': {'key': 'imageRegistryReferences', 'type': '{ImageReferenceForConsumptionDto}'},
+    }
+
+    def __init__(
+        self,
+        *,
+        blob_references: Optional[Dict[str, "BlobReferenceForConsumptionDto"]] = None,
+        image_registry_references: Optional[Dict[str, "ImageReferenceForConsumptionDto"]] = None,
+        **kwargs
+    ):
+        """
+        :keyword blob_references: Dictionary of :code:`<BlobReferenceForConsumptionDto>`.
+        :paramtype blob_references: dict[str,
+         ~azure.mgmt.machinelearningservices.models.BlobReferenceForConsumptionDto]
+        :keyword image_registry_references: Dictionary of :code:`<ImageReferenceForConsumptionDto>`.
+        :paramtype image_registry_references: dict[str,
+         ~azure.mgmt.machinelearningservices.models.ImageReferenceForConsumptionDto]
+        """
+        super(DataReferencesForConsumptionDto, self).__init__(**kwargs)
+        self.blob_references = blob_references
+        self.image_registry_references = image_registry_references
+
+
+class DatasetReference(msrest.serialization.Model):
+    """DatasetReference.
+
+    :ivar name:
+    :vartype name: str
+    :ivar id:
+    :vartype id: str
+    """
+
+    _attribute_map = {
+        'name': {'key': 'name', 'type': 'str'},
+        'id': {'key': 'id', 'type': 'str'},
+    }
+
+    def __init__(
+        self,
+        *,
+        name: Optional[str] = None,
+        id: Optional[str] = None,
+        **kwargs
+    ):
+        """
+        :keyword name:
+        :paramtype name: str
+        :keyword id:
+        :paramtype id: str
+        """
+        super(DatasetReference, self).__init__(**kwargs)
+        self.name = name
+        self.id = id
+
+
+class DependencyMapDto(msrest.serialization.Model):
+    """DependencyMapDto.
+
+    :ivar dependencies:
+    :vartype dependencies: list[~azure.mgmt.machinelearningservices.models.DependencyMapItemDto]
+    """
+
+    _attribute_map = {
+        'dependencies': {'key': 'dependencies', 'type': '[DependencyMapItemDto]'},
+    }
+
+    def __init__(
+        self,
+        *,
+        dependencies: Optional[List["DependencyMapItemDto"]] = None,
+        **kwargs
+    ):
+        """
+        :keyword dependencies:
+        :paramtype dependencies: list[~azure.mgmt.machinelearningservices.models.DependencyMapItemDto]
+        """
+        super(DependencyMapDto, self).__init__(**kwargs)
+        self.dependencies = dependencies
+
+
+class DependencyMapItemDto(msrest.serialization.Model):
+    """DependencyMapItemDto.
+
+    :ivar source_id:
+    :vartype source_id: str
+    :ivar destination_id:
+    :vartype destination_id: str
+    """
+
+    _attribute_map = {
+        'source_id': {'key': 'sourceId', 'type': 'str'},
+        'destination_id': {'key': 'destinationId', 'type': 'str'},
+    }
+
+    def __init__(
+        self,
+        *,
+        source_id: Optional[str] = None,
+        destination_id: Optional[str] = None,
+        **kwargs
+    ):
+        """
+        :keyword source_id:
+        :paramtype source_id: str
+        :keyword destination_id:
+        :paramtype destination_id: str
+        """
+        super(DependencyMapItemDto, self).__init__(**kwargs)
+        self.source_id = source_id
+        self.destination_id = destination_id
+
+
+class DependentAsset(msrest.serialization.Model):
+    """DependentAsset.
+
+    :ivar asset_id:
+    :vartype asset_id: str
+    """
+
+    _attribute_map = {
+        'asset_id': {'key': 'assetId', 'type': 'str'},
+    }
+
+    def __init__(
+        self,
+        *,
+        asset_id: Optional[str] = None,
+        **kwargs
+    ):
+        """
+        :keyword asset_id:
+        :paramtype asset_id: str
+        """
+        super(DependentAsset, self).__init__(**kwargs)
+        self.asset_id = asset_id
+
+
+class DependentEntitiesDto(msrest.serialization.Model):
+    """DependentEntitiesDto.
+
+    :ivar asset_id:
+    :vartype asset_id: str
+    :ivar dependencies:
+    :vartype dependencies: list[~azure.mgmt.machinelearningservices.models.DependentAsset]
+    """
+
+    _attribute_map = {
+        'asset_id': {'key': 'assetId', 'type': 'str'},
+        'dependencies': {'key': 'dependencies', 'type': '[DependentAsset]'},
+    }
+
+    def __init__(
+        self,
+        *,
+        asset_id: Optional[str] = None,
+        dependencies: Optional[List["DependentAsset"]] = None,
+        **kwargs
+    ):
+        """
+        :keyword asset_id:
+        :paramtype asset_id: str
+        :keyword dependencies:
+        :paramtype dependencies: list[~azure.mgmt.machinelearningservices.models.DependentAsset]
+        """
+        super(DependentEntitiesDto, self).__init__(**kwargs)
+        self.asset_id = asset_id
+        self.dependencies = dependencies
+
+
+class ErrorResponse(msrest.serialization.Model):
+    """ErrorResponse.
+
+    :ivar code:
+    :vartype code: str
+    :ivar status_code:
+    :vartype status_code: int
+    :ivar message:
+    :vartype message: str
+    :ivar target:
+    :vartype target: str
+    :ivar details:
+    :vartype details: list[~azure.mgmt.machinelearningservices.models.InnerErrorDetails]
+    :ivar correlation: Dictionary of :code:`<string>`.
+    :vartype correlation: dict[str, str]
+    """
+
+    _attribute_map = {
+        'code': {'key': 'code', 'type': 'str'},
+        'status_code': {'key': 'statusCode', 'type': 'int'},
+        'message': {'key': 'message', 'type': 'str'},
+        'target': {'key': 'target', 'type': 'str'},
+        'details': {'key': 'details', 'type': '[InnerErrorDetails]'},
+        'correlation': {'key': 'correlation', 'type': '{str}'},
+    }
+
+    def __init__(
+        self,
+        *,
+        code: Optional[str] = None,
+        status_code: Optional[int] = None,
+        message: Optional[str] = None,
+        target: Optional[str] = None,
+        details: Optional[List["InnerErrorDetails"]] = None,
+        correlation: Optional[Dict[str, str]] = None,
+        **kwargs
+    ):
+        """
+        :keyword code:
+        :paramtype code: str
+        :keyword status_code:
+        :paramtype status_code: int
+        :keyword message:
+        :paramtype message: str
+        :keyword target:
+        :paramtype target: str
+        :keyword details:
+        :paramtype details: list[~azure.mgmt.machinelearningservices.models.InnerErrorDetails]
+        :keyword correlation: Dictionary of :code:`<string>`.
+        :paramtype correlation: dict[str, str]
+        """
+        super(ErrorResponse, self).__init__(**kwargs)
+        self.code = code
+        self.status_code = status_code
+        self.message = message
+        self.target = target
+        self.details = details
+        self.correlation = correlation
+
+
+class ExtensiveModel(msrest.serialization.Model):
+    """ExtensiveModel.
+
+    :ivar model:
+    :vartype model: ~azure.mgmt.machinelearningservices.models.Model
+    :ivar service_list:
+    :vartype service_list: list[~azure.mgmt.machinelearningservices.models.ServiceResponseBase]
+    :ivar asset_list:
+    :vartype asset_list: list[~azure.mgmt.machinelearningservices.models.Asset]
+    """
+
+    _attribute_map = {
+        'model': {'key': 'Model', 'type': 'Model'},
+        'service_list': {'key': 'ServiceList', 'type': '[ServiceResponseBase]'},
+        'asset_list': {'key': 'AssetList', 'type': '[Asset]'},
+    }
+
+    def __init__(
+        self,
+        *,
+        model: Optional["Model"] = None,
+        service_list: Optional[List["ServiceResponseBase"]] = None,
+        asset_list: Optional[List["Asset"]] = None,
+        **kwargs
+    ):
+        """
+        :keyword model:
+        :paramtype model: ~azure.mgmt.machinelearningservices.models.Model
+        :keyword service_list:
+        :paramtype service_list: list[~azure.mgmt.machinelearningservices.models.ServiceResponseBase]
+        :keyword asset_list:
+        :paramtype asset_list: list[~azure.mgmt.machinelearningservices.models.Asset]
+        """
+        super(ExtensiveModel, self).__init__(**kwargs)
+        self.model = model
+        self.service_list = service_list
+        self.asset_list = asset_list
+
+
+class FeedIndexEntityDto(msrest.serialization.Model):
+    """FeedIndexEntityDto.
+
+    :ivar index_entity:
+    :vartype index_entity: ~azure.mgmt.machinelearningservices.models.IndexEntity
+    :ivar schema_id:
+    :vartype schema_id: str
+    :ivar entity_schema: Anything.
+    :vartype entity_schema: any
+    """
+
+    _attribute_map = {
+        'index_entity': {'key': 'indexEntity', 'type': 'IndexEntity'},
+        'schema_id': {'key': 'schemaId', 'type': 'str'},
+        'entity_schema': {'key': 'entitySchema', 'type': 'object'},
+    }
+
+    def __init__(
+        self,
+        *,
+        index_entity: Optional["IndexEntity"] = None,
+        schema_id: Optional[str] = None,
+        entity_schema: Optional[Any] = None,
+        **kwargs
+    ):
+        """
+        :keyword index_entity:
+        :paramtype index_entity: ~azure.mgmt.machinelearningservices.models.IndexEntity
+        :keyword schema_id:
+        :paramtype schema_id: str
+        :keyword entity_schema: Anything.
+        :paramtype entity_schema: any
+        """
+        super(FeedIndexEntityDto, self).__init__(**kwargs)
+        self.index_entity = index_entity
+        self.schema_id = schema_id
+        self.entity_schema = entity_schema
+
+
+class FeedIndexEntityRequestDto(msrest.serialization.Model):
+    """FeedIndexEntityRequestDto.
+
+    :ivar feed_entity:
+    :vartype feed_entity: ~azure.mgmt.machinelearningservices.models.AssetDto
+    :ivar label_to_version_mapping: Dictionary of :code:`<string>`.
+    :vartype label_to_version_mapping: dict[str, str]
+    """
+
+    _attribute_map = {
+        'feed_entity': {'key': 'feedEntity', 'type': 'AssetDto'},
+        'label_to_version_mapping': {'key': 'labelToVersionMapping', 'type': '{str}'},
+    }
+
+    def __init__(
+        self,
+        *,
+        feed_entity: Optional["AssetDto"] = None,
+        label_to_version_mapping: Optional[Dict[str, str]] = None,
+        **kwargs
+    ):
+        """
+        :keyword feed_entity:
+        :paramtype feed_entity: ~azure.mgmt.machinelearningservices.models.AssetDto
+        :keyword label_to_version_mapping: Dictionary of :code:`<string>`.
+        :paramtype label_to_version_mapping: dict[str, str]
+        """
+        super(FeedIndexEntityRequestDto, self).__init__(**kwargs)
+        self.feed_entity = feed_entity
+        self.label_to_version_mapping = label_to_version_mapping
+
+
+class ImageReference(msrest.serialization.Model):
+    """ImageReference.
+
+    :ivar image_registry_reference:
+    :vartype image_registry_reference: str
+    """
+
+    _attribute_map = {
+        'image_registry_reference': {'key': 'imageRegistryReference', 'type': 'str'},
+    }
+
+    def __init__(
+        self,
+        *,
+        image_registry_reference: Optional[str] = None,
+        **kwargs
+    ):
+        """
+        :keyword image_registry_reference:
+        :paramtype image_registry_reference: str
+        """
+        super(ImageReference, self).__init__(**kwargs)
+        self.image_registry_reference = image_registry_reference
+
+
+class ImageReferenceForConsumptionDto(msrest.serialization.Model):
+    """ImageReferenceForConsumptionDto.
+
+    :ivar image_registry_reference:
+    :vartype image_registry_reference: str
+    :ivar credential:
+    :vartype credential: ~azure.mgmt.machinelearningservices.models.DataReferenceCredentialDto
+    """
+
+    _attribute_map = {
+        'image_registry_reference': {'key': 'imageRegistryReference', 'type': 'str'},
+        'credential': {'key': 'credential', 'type': 'DataReferenceCredentialDto'},
+    }
+
+    def __init__(
+        self,
+        *,
+        image_registry_reference: Optional[str] = None,
+        credential: Optional["DataReferenceCredentialDto"] = None,
+        **kwargs
+    ):
+        """
+        :keyword image_registry_reference:
+        :paramtype image_registry_reference: str
+        :keyword credential:
+        :paramtype credential: ~azure.mgmt.machinelearningservices.models.DataReferenceCredentialDto
+        """
+        super(ImageReferenceForConsumptionDto, self).__init__(**kwargs)
+        self.image_registry_reference = image_registry_reference
+        self.credential = credential
+
+
+class IndexAnnotations(msrest.serialization.Model):
+    """IndexAnnotations.
+
+    :ivar additional_properties: Unmatched properties from the message are deserialized to this
+     collection.
+    :vartype additional_properties: dict[str, any]
+    :ivar archived:
+    :vartype archived: bool
+    :ivar tags: A set of tags. Dictionary of :code:`<string>`.
+    :vartype tags: dict[str, str]
+    """
+
+    _attribute_map = {
+        'additional_properties': {'key': '', 'type': '{object}'},
+        'archived': {'key': 'archived', 'type': 'bool'},
+        'tags': {'key': 'tags', 'type': '{str}'},
+    }
+
+    def __init__(
+        self,
+        *,
+        additional_properties: Optional[Dict[str, Any]] = None,
+        archived: Optional[bool] = None,
+        tags: Optional[Dict[str, str]] = None,
+        **kwargs
+    ):
+        """
+        :keyword additional_properties: Unmatched properties from the message are deserialized to this
+         collection.
+        :paramtype additional_properties: dict[str, any]
+        :keyword archived:
+        :paramtype archived: bool
+        :keyword tags: A set of tags. Dictionary of :code:`<string>`.
+        :paramtype tags: dict[str, str]
+        """
+        super(IndexAnnotations, self).__init__(**kwargs)
+        self.additional_properties = additional_properties
+        self.archived = archived
+        self.tags = tags
+
+
+class IndexEntity(msrest.serialization.Model):
+    """IndexEntity.
+
+    Variables are only populated by the server, and will be ignored when sending a request.
+
+    :ivar schema_id:
+    :vartype schema_id: str
+    :ivar entity_id:
+    :vartype entity_id: str
+    :ivar kind: Possible values include: "Invalid", "LineageRoot", "Versioned", "Unversioned".
+    :vartype kind: str or ~azure.mgmt.machinelearningservices.models.EntityKind
+    :ivar annotations:
+    :vartype annotations: ~azure.mgmt.machinelearningservices.models.IndexAnnotations
+    :ivar properties:
+    :vartype properties: ~azure.mgmt.machinelearningservices.models.IndexProperties
+    :ivar internal: Dictionary of :code:`<any>`.
+    :vartype internal: dict[str, any]
+    :ivar update_sequence:
+    :vartype update_sequence: long
+    :ivar type:
+    :vartype type: str
+    :ivar version:
+    :vartype version: str
+    :ivar entity_container_id:
+    :vartype entity_container_id: str
+    :ivar entity_object_id:
+    :vartype entity_object_id: str
+    :ivar resource_type:
+    :vartype resource_type: str
+    :ivar relationships:
+    :vartype relationships: list[~azure.mgmt.machinelearningservices.models.Relationship]
+    :ivar asset_id:
+    :vartype asset_id: str
+    """
+
+    _validation = {
+        'version': {'readonly': True},
+        'entity_container_id': {'readonly': True},
+        'entity_object_id': {'readonly': True},
+        'resource_type': {'readonly': True},
+    }
+
+    _attribute_map = {
+        'schema_id': {'key': 'schemaId', 'type': 'str'},
+        'entity_id': {'key': 'entityId', 'type': 'str'},
+        'kind': {'key': 'kind', 'type': 'str'},
+        'annotations': {'key': 'annotations', 'type': 'IndexAnnotations'},
+        'properties': {'key': 'properties', 'type': 'IndexProperties'},
+        'internal': {'key': 'internal', 'type': '{object}'},
+        'update_sequence': {'key': 'updateSequence', 'type': 'long'},
+        'type': {'key': 'type', 'type': 'str'},
+        'version': {'key': 'version', 'type': 'str'},
+        'entity_container_id': {'key': 'entityContainerId', 'type': 'str'},
+        'entity_object_id': {'key': 'entityObjectId', 'type': 'str'},
+        'resource_type': {'key': 'resourceType', 'type': 'str'},
+        'relationships': {'key': 'relationships', 'type': '[Relationship]'},
+        'asset_id': {'key': 'assetId', 'type': 'str'},
+    }
+
+    def __init__(
+        self,
+        *,
+        schema_id: Optional[str] = None,
+        entity_id: Optional[str] = None,
+        kind: Optional[Union[str, "EntityKind"]] = None,
+        annotations: Optional["IndexAnnotations"] = None,
+        properties: Optional["IndexProperties"] = None,
+        internal: Optional[Dict[str, Any]] = None,
+        update_sequence: Optional[int] = None,
+        type: Optional[str] = None,
+        relationships: Optional[List["Relationship"]] = None,
+        asset_id: Optional[str] = None,
+        **kwargs
+    ):
+        """
+        :keyword schema_id:
+        :paramtype schema_id: str
+        :keyword entity_id:
+        :paramtype entity_id: str
+        :keyword kind: Possible values include: "Invalid", "LineageRoot", "Versioned", "Unversioned".
+        :paramtype kind: str or ~azure.mgmt.machinelearningservices.models.EntityKind
+        :keyword annotations:
+        :paramtype annotations: ~azure.mgmt.machinelearningservices.models.IndexAnnotations
+        :keyword properties:
+        :paramtype properties: ~azure.mgmt.machinelearningservices.models.IndexProperties
+        :keyword internal: Dictionary of :code:`<any>`.
+        :paramtype internal: dict[str, any]
+        :keyword update_sequence:
+        :paramtype update_sequence: long
+        :keyword type:
+        :paramtype type: str
+        :keyword relationships:
+        :paramtype relationships: list[~azure.mgmt.machinelearningservices.models.Relationship]
+        :keyword asset_id:
+        :paramtype asset_id: str
+        """
+        super(IndexEntity, self).__init__(**kwargs)
+        self.schema_id = schema_id
+        self.entity_id = entity_id
+        self.kind = kind
+        self.annotations = annotations
+        self.properties = properties
+        self.internal = internal
+        self.update_sequence = update_sequence
+        self.type = type
+        self.version = None
+        self.entity_container_id = None
+        self.entity_object_id = None
+        self.resource_type = None
+        self.relationships = relationships
+        self.asset_id = asset_id
+
+
+class IndexProperties(msrest.serialization.Model):
+    """IndexProperties.
+
+    :ivar additional_properties: Unmatched properties from the message are deserialized to this
+     collection.
+    :vartype additional_properties: dict[str, any]
+    :ivar creation_context:
+    :vartype creation_context: ~azure.mgmt.machinelearningservices.models.CreationContext
+    """
+
+    _attribute_map = {
+        'additional_properties': {'key': '', 'type': '{object}'},
+        'creation_context': {'key': 'creationContext', 'type': 'CreationContext'},
+    }
+
+    def __init__(
+        self,
+        *,
+        additional_properties: Optional[Dict[str, Any]] = None,
+        creation_context: Optional["CreationContext"] = None,
+        **kwargs
+    ):
+        """
+        :keyword additional_properties: Unmatched properties from the message are deserialized to this
+         collection.
+        :paramtype additional_properties: dict[str, any]
+        :keyword creation_context:
+        :paramtype creation_context: ~azure.mgmt.machinelearningservices.models.CreationContext
+        """
+        super(IndexProperties, self).__init__(**kwargs)
+        self.additional_properties = additional_properties
+        self.creation_context = creation_context
+
+
+class InnerErrorDetails(msrest.serialization.Model):
+    """InnerErrorDetails.
+
+    :ivar code:
+    :vartype code: str
+    :ivar message:
+    :vartype message: str
+    :ivar target:
+    :vartype target: str
+    """
+
+    _attribute_map = {
+        'code': {'key': 'code', 'type': 'str'},
+        'message': {'key': 'message', 'type': 'str'},
+        'target': {'key': 'target', 'type': 'str'},
+    }
+
+    def __init__(
+        self,
+        *,
+        code: Optional[str] = None,
+        message: Optional[str] = None,
+        target: Optional[str] = None,
+        **kwargs
+    ):
+        """
+        :keyword code:
+        :paramtype code: str
+        :keyword message:
+        :paramtype message: str
+        :keyword target:
+        :paramtype target: str
+        """
+        super(InnerErrorDetails, self).__init__(**kwargs)
+        self.code = code
+        self.message = message
+        self.target = target
+
+
+class IntellectualPropertyPublisherInformation(msrest.serialization.Model):
+    """IntellectualPropertyPublisherInformation.
+
+    :ivar intellectual_property_publisher:
+    :vartype intellectual_property_publisher: str
+    """
+
+    _attribute_map = {
+        'intellectual_property_publisher': {'key': 'intellectualPropertyPublisher', 'type': 'str'},
+    }
+
+    def __init__(
+        self,
+        *,
+        intellectual_property_publisher: Optional[str] = None,
+        **kwargs
+    ):
+        """
+        :keyword intellectual_property_publisher:
+        :paramtype intellectual_property_publisher: str
+        """
+        super(IntellectualPropertyPublisherInformation, self).__init__(**kwargs)
+        self.intellectual_property_publisher = intellectual_property_publisher
+
+
+class ListModelsRequest(msrest.serialization.Model):
+    """ListModelsRequest.
+
+    :ivar name:
+    :vartype name: str
+    :ivar tag:
+    :vartype tag: str
+    :ivar version:
+    :vartype version: str
+    :ivar framework:
+    :vartype framework: str
+    :ivar description:
+    :vartype description: str
+    :ivar count:
+    :vartype count: int
+    :ivar offset:
+    :vartype offset: int
+    :ivar skip_token:
+    :vartype skip_token: str
+    :ivar tags: A set of tags.
+    :vartype tags: str
+    :ivar properties:
+    :vartype properties: str
+    :ivar run_id:
+    :vartype run_id: str
+    :ivar dataset_id:
+    :vartype dataset_id: str
+    :ivar order_by: Possible values include: "CreatedAtDesc", "CreatedAtAsc", "UpdatedAtDesc",
+     "UpdatedAtAsc".
+    :vartype order_by: str or ~azure.mgmt.machinelearningservices.models.OrderString
+    :ivar latest_version_only:
+    :vartype latest_version_only: bool
+    :ivar modified_after:
+    :vartype modified_after: ~datetime.datetime
+    :ivar modified_before:
+    :vartype modified_before: ~datetime.datetime
+    :ivar list_view_type: Possible values include: "ActiveOnly", "ArchivedOnly", "All".
+    :vartype list_view_type: str or ~azure.mgmt.machinelearningservices.models.ListViewType
+    """
+
+    _attribute_map = {
+        'name': {'key': 'name', 'type': 'str'},
+        'tag': {'key': 'tag', 'type': 'str'},
+        'version': {'key': 'version', 'type': 'str'},
+        'framework': {'key': 'framework', 'type': 'str'},
+        'description': {'key': 'description', 'type': 'str'},
+        'count': {'key': 'count', 'type': 'int'},
+        'offset': {'key': 'offset', 'type': 'int'},
+        'skip_token': {'key': 'skipToken', 'type': 'str'},
+        'tags': {'key': 'tags', 'type': 'str'},
+        'properties': {'key': 'properties', 'type': 'str'},
+        'run_id': {'key': 'runId', 'type': 'str'},
+        'dataset_id': {'key': 'datasetId', 'type': 'str'},
+        'order_by': {'key': 'orderBy', 'type': 'str'},
+        'latest_version_only': {'key': 'latestVersionOnly', 'type': 'bool'},
+        'modified_after': {'key': 'modifiedAfter', 'type': 'iso-8601'},
+        'modified_before': {'key': 'modifiedBefore', 'type': 'iso-8601'},
+        'list_view_type': {'key': 'listViewType', 'type': 'str'},
+    }
+
+    def __init__(
+        self,
+        *,
+        name: Optional[str] = None,
+        tag: Optional[str] = None,
+        version: Optional[str] = None,
+        framework: Optional[str] = None,
+        description: Optional[str] = None,
+        count: Optional[int] = None,
+        offset: Optional[int] = None,
+        skip_token: Optional[str] = None,
+        tags: Optional[str] = None,
+        properties: Optional[str] = None,
+        run_id: Optional[str] = None,
+        dataset_id: Optional[str] = None,
+        order_by: Optional[Union[str, "OrderString"]] = None,
+        latest_version_only: Optional[bool] = None,
+        modified_after: Optional[datetime.datetime] = None,
+        modified_before: Optional[datetime.datetime] = None,
+        list_view_type: Optional[Union[str, "ListViewType"]] = None,
+        **kwargs
+    ):
+        """
+        :keyword name:
+        :paramtype name: str
+        :keyword tag:
+        :paramtype tag: str
+        :keyword version:
+        :paramtype version: str
+        :keyword framework:
+        :paramtype framework: str
+        :keyword description:
+        :paramtype description: str
+        :keyword count:
+        :paramtype count: int
+        :keyword offset:
+        :paramtype offset: int
+        :keyword skip_token:
+        :paramtype skip_token: str
+        :keyword tags: A set of tags.
+        :paramtype tags: str
+        :keyword properties:
+        :paramtype properties: str
+        :keyword run_id:
+        :paramtype run_id: str
+        :keyword dataset_id:
+        :paramtype dataset_id: str
+        :keyword order_by: Possible values include: "CreatedAtDesc", "CreatedAtAsc", "UpdatedAtDesc",
+         "UpdatedAtAsc".
+        :paramtype order_by: str or ~azure.mgmt.machinelearningservices.models.OrderString
+        :keyword latest_version_only:
+        :paramtype latest_version_only: bool
+        :keyword modified_after:
+        :paramtype modified_after: ~datetime.datetime
+        :keyword modified_before:
+        :paramtype modified_before: ~datetime.datetime
+        :keyword list_view_type: Possible values include: "ActiveOnly", "ArchivedOnly", "All".
+        :paramtype list_view_type: str or ~azure.mgmt.machinelearningservices.models.ListViewType
+        """
+        super(ListModelsRequest, self).__init__(**kwargs)
+        self.name = name
+        self.tag = tag
+        self.version = version
+        self.framework = framework
+        self.description = description
+        self.count = count
+        self.offset = offset
+        self.skip_token = skip_token
+        self.tags = tags
+        self.properties = properties
+        self.run_id = run_id
+        self.dataset_id = dataset_id
+        self.order_by = order_by
+        self.latest_version_only = latest_version_only
+        self.modified_after = modified_after
+        self.modified_before = modified_before
+        self.list_view_type = list_view_type
+
+
+class Model(msrest.serialization.Model):
+    """Model.
+
+    All required parameters must be populated in order to send to Azure.
+
+    :ivar id:
+    :vartype id: str
+    :ivar name: Required.
+    :vartype name: str
+    :ivar framework:
+    :vartype framework: str
+    :ivar framework_version:
+    :vartype framework_version: str
+    :ivar version:
+    :vartype version: long
+    :ivar tags: A set of tags.
+    :vartype tags: list[str]
+    :ivar datasets:
+    :vartype datasets: list[~azure.mgmt.machinelearningservices.models.DatasetReference]
+    :ivar url:
+    :vartype url: str
+    :ivar mime_type: Required.
+    :vartype mime_type: str
+    :ivar description:
+    :vartype description: str
+    :ivar created_time:
+    :vartype created_time: ~datetime.datetime
+    :ivar modified_time:
+    :vartype modified_time: ~datetime.datetime
+    :ivar unpack:
+    :vartype unpack: bool
+    :ivar parent_model_id:
+    :vartype parent_model_id: str
+    :ivar run_id:
+    :vartype run_id: str
+    :ivar experiment_name:
+    :vartype experiment_name: str
+    :ivar kv_tags: Dictionary of :code:`<string>`.
+    :vartype kv_tags: dict[str, str]
+    :ivar properties: Dictionary of :code:`<string>`.
+    :vartype properties: dict[str, str]
+    :ivar derived_model_ids:
+    :vartype derived_model_ids: list[str]
+    :ivar inputs_schema:
+    :vartype inputs_schema: list[~azure.mgmt.machinelearningservices.models.ModelSchema]
+    :ivar outputs_schema:
+    :vartype outputs_schema: list[~azure.mgmt.machinelearningservices.models.ModelSchema]
+    :ivar sample_input_data:
+    :vartype sample_input_data: str
+    :ivar sample_output_data:
+    :vartype sample_output_data: str
+    :ivar resource_requirements:
+    :vartype resource_requirements:
+     ~azure.mgmt.machinelearningservices.models.ContainerResourceRequirements
+    :ivar created_by:
+    :vartype created_by: ~azure.mgmt.machinelearningservices.models.User
+    :ivar modified_by:
+    :vartype modified_by: ~azure.mgmt.machinelearningservices.models.User
+    :ivar flavors: Dictionary of
+     <components·8urbg9·schemas·model·properties·flavors·additionalproperties>.
+    :vartype flavors: dict[str, dict[str, str]]
+    :ivar model_format: Possible values include: "CUSTOM", "MLFLOW", "TRITON", "PRESETS".
+    :vartype model_format: str or ~azure.mgmt.machinelearningservices.models.ModelFormatEnum
+    :ivar stage:
+    :vartype stage: str
+    :ivar model_container_id:
+    :vartype model_container_id: str
+    :ivar mms_id:
+    :vartype mms_id: str
+    :ivar default_deployment_settings:
+    :vartype default_deployment_settings:
+     ~azure.mgmt.machinelearningservices.models.ModelDeploymentSettings
+    :ivar is_anonymous:
+    :vartype is_anonymous: bool
+    :ivar is_archived:
+    :vartype is_archived: bool
+    :ivar is_registered:
+    :vartype is_registered: bool
+    :ivar data_path:
+    :vartype data_path: str
+    :ivar model_type:
+    :vartype model_type: str
+    :ivar asset_id:
+    :vartype asset_id: str
+    """
+
+    _validation = {
+        'name': {'required': True},
+        'mime_type': {'required': True},
+    }
+
+    _attribute_map = {
+        'id': {'key': 'id', 'type': 'str'},
+        'name': {'key': 'name', 'type': 'str'},
+        'framework': {'key': 'framework', 'type': 'str'},
+        'framework_version': {'key': 'frameworkVersion', 'type': 'str'},
+        'version': {'key': 'version', 'type': 'long'},
+        'tags': {'key': 'tags', 'type': '[str]'},
+        'datasets': {'key': 'datasets', 'type': '[DatasetReference]'},
+        'url': {'key': 'url', 'type': 'str'},
+        'mime_type': {'key': 'mimeType', 'type': 'str'},
+        'description': {'key': 'description', 'type': 'str'},
+        'created_time': {'key': 'createdTime', 'type': 'iso-8601'},
+        'modified_time': {'key': 'modifiedTime', 'type': 'iso-8601'},
+        'unpack': {'key': 'unpack', 'type': 'bool'},
+        'parent_model_id': {'key': 'parentModelId', 'type': 'str'},
+        'run_id': {'key': 'runId', 'type': 'str'},
+        'experiment_name': {'key': 'experimentName', 'type': 'str'},
+        'kv_tags': {'key': 'kvTags', 'type': '{str}'},
+        'properties': {'key': 'properties', 'type': '{str}'},
+        'derived_model_ids': {'key': 'derivedModelIds', 'type': '[str]'},
+        'inputs_schema': {'key': 'inputsSchema', 'type': '[ModelSchema]'},
+        'outputs_schema': {'key': 'outputsSchema', 'type': '[ModelSchema]'},
+        'sample_input_data': {'key': 'sampleInputData', 'type': 'str'},
+        'sample_output_data': {'key': 'sampleOutputData', 'type': 'str'},
+        'resource_requirements': {'key': 'resourceRequirements', 'type': 'ContainerResourceRequirements'},
+        'created_by': {'key': 'createdBy', 'type': 'User'},
+        'modified_by': {'key': 'modifiedBy', 'type': 'User'},
+        'flavors': {'key': 'flavors', 'type': '{{str}}'},
+        'model_format': {'key': 'modelFormat', 'type': 'str'},
+        'stage': {'key': 'stage', 'type': 'str'},
+        'model_container_id': {'key': 'modelContainerId', 'type': 'str'},
+        'mms_id': {'key': 'mmsId', 'type': 'str'},
+        'default_deployment_settings': {'key': 'defaultDeploymentSettings', 'type': 'ModelDeploymentSettings'},
+        'is_anonymous': {'key': 'isAnonymous', 'type': 'bool'},
+        'is_archived': {'key': 'isArchived', 'type': 'bool'},
+        'is_registered': {'key': 'isRegistered', 'type': 'bool'},
+        'data_path': {'key': 'dataPath', 'type': 'str'},
+        'model_type': {'key': 'modelType', 'type': 'str'},
+        'asset_id': {'key': 'assetId', 'type': 'str'},
+    }
+
+    def __init__(
+        self,
+        *,
+        name: str,
+        mime_type: str,
+        id: Optional[str] = None,
+        framework: Optional[str] = None,
+        framework_version: Optional[str] = None,
+        version: Optional[int] = None,
+        tags: Optional[List[str]] = None,
+        datasets: Optional[List["DatasetReference"]] = None,
+        url: Optional[str] = None,
+        description: Optional[str] = None,
+        created_time: Optional[datetime.datetime] = None,
+        modified_time: Optional[datetime.datetime] = None,
+        unpack: Optional[bool] = None,
+        parent_model_id: Optional[str] = None,
+        run_id: Optional[str] = None,
+        experiment_name: Optional[str] = None,
+        kv_tags: Optional[Dict[str, str]] = None,
+        properties: Optional[Dict[str, str]] = None,
+        derived_model_ids: Optional[List[str]] = None,
+        inputs_schema: Optional[List["ModelSchema"]] = None,
+        outputs_schema: Optional[List["ModelSchema"]] = None,
+        sample_input_data: Optional[str] = None,
+        sample_output_data: Optional[str] = None,
+        resource_requirements: Optional["ContainerResourceRequirements"] = None,
+        created_by: Optional["User"] = None,
+        modified_by: Optional["User"] = None,
+        flavors: Optional[Dict[str, Dict[str, str]]] = None,
+        model_format: Optional[Union[str, "ModelFormatEnum"]] = None,
+        stage: Optional[str] = None,
+        model_container_id: Optional[str] = None,
+        mms_id: Optional[str] = None,
+        default_deployment_settings: Optional["ModelDeploymentSettings"] = None,
+        is_anonymous: Optional[bool] = None,
+        is_archived: Optional[bool] = None,
+        is_registered: Optional[bool] = None,
+        data_path: Optional[str] = None,
+        model_type: Optional[str] = None,
+        asset_id: Optional[str] = None,
+        **kwargs
+    ):
+        """
+        :keyword id:
+        :paramtype id: str
+        :keyword name: Required.
+        :paramtype name: str
+        :keyword framework:
+        :paramtype framework: str
+        :keyword framework_version:
+        :paramtype framework_version: str
+        :keyword version:
+        :paramtype version: long
+        :keyword tags: A set of tags.
+        :paramtype tags: list[str]
+        :keyword datasets:
+        :paramtype datasets: list[~azure.mgmt.machinelearningservices.models.DatasetReference]
+        :keyword url:
+        :paramtype url: str
+        :keyword mime_type: Required.
+        :paramtype mime_type: str
+        :keyword description:
+        :paramtype description: str
+        :keyword created_time:
+        :paramtype created_time: ~datetime.datetime
+        :keyword modified_time:
+        :paramtype modified_time: ~datetime.datetime
+        :keyword unpack:
+        :paramtype unpack: bool
+        :keyword parent_model_id:
+        :paramtype parent_model_id: str
+        :keyword run_id:
+        :paramtype run_id: str
+        :keyword experiment_name:
+        :paramtype experiment_name: str
+        :keyword kv_tags: Dictionary of :code:`<string>`.
+        :paramtype kv_tags: dict[str, str]
+        :keyword properties: Dictionary of :code:`<string>`.
+        :paramtype properties: dict[str, str]
+        :keyword derived_model_ids:
+        :paramtype derived_model_ids: list[str]
+        :keyword inputs_schema:
+        :paramtype inputs_schema: list[~azure.mgmt.machinelearningservices.models.ModelSchema]
+        :keyword outputs_schema:
+        :paramtype outputs_schema: list[~azure.mgmt.machinelearningservices.models.ModelSchema]
+        :keyword sample_input_data:
+        :paramtype sample_input_data: str
+        :keyword sample_output_data:
+        :paramtype sample_output_data: str
+        :keyword resource_requirements:
+        :paramtype resource_requirements:
+         ~azure.mgmt.machinelearningservices.models.ContainerResourceRequirements
+        :keyword created_by:
+        :paramtype created_by: ~azure.mgmt.machinelearningservices.models.User
+        :keyword modified_by:
+        :paramtype modified_by: ~azure.mgmt.machinelearningservices.models.User
+        :keyword flavors: Dictionary of
+         <components·8urbg9·schemas·model·properties·flavors·additionalproperties>.
+        :paramtype flavors: dict[str, dict[str, str]]
+        :keyword model_format: Possible values include: "CUSTOM", "MLFLOW", "TRITON", "PRESETS".
+        :paramtype model_format: str or ~azure.mgmt.machinelearningservices.models.ModelFormatEnum
+        :keyword stage:
+        :paramtype stage: str
+        :keyword model_container_id:
+        :paramtype model_container_id: str
+        :keyword mms_id:
+        :paramtype mms_id: str
+        :keyword default_deployment_settings:
+        :paramtype default_deployment_settings:
+         ~azure.mgmt.machinelearningservices.models.ModelDeploymentSettings
+        :keyword is_anonymous:
+        :paramtype is_anonymous: bool
+        :keyword is_archived:
+        :paramtype is_archived: bool
+        :keyword is_registered:
+        :paramtype is_registered: bool
+        :keyword data_path:
+        :paramtype data_path: str
+        :keyword model_type:
+        :paramtype model_type: str
+        :keyword asset_id:
+        :paramtype asset_id: str
+        """
+        super(Model, self).__init__(**kwargs)
+        self.id = id
+        self.name = name
+        self.framework = framework
+        self.framework_version = framework_version
+        self.version = version
+        self.tags = tags
+        self.datasets = datasets
+        self.url = url
+        self.mime_type = mime_type
+        self.description = description
+        self.created_time = created_time
+        self.modified_time = modified_time
+        self.unpack = unpack
+        self.parent_model_id = parent_model_id
+        self.run_id = run_id
+        self.experiment_name = experiment_name
+        self.kv_tags = kv_tags
+        self.properties = properties
+        self.derived_model_ids = derived_model_ids
+        self.inputs_schema = inputs_schema
+        self.outputs_schema = outputs_schema
+        self.sample_input_data = sample_input_data
+        self.sample_output_data = sample_output_data
+        self.resource_requirements = resource_requirements
+        self.created_by = created_by
+        self.modified_by = modified_by
+        self.flavors = flavors
+        self.model_format = model_format
+        self.stage = stage
+        self.model_container_id = model_container_id
+        self.mms_id = mms_id
+        self.default_deployment_settings = default_deployment_settings
+        self.is_anonymous = is_anonymous
+        self.is_archived = is_archived
+        self.is_registered = is_registered
+        self.data_path = data_path
+        self.model_type = model_type
+        self.asset_id = asset_id
+
+
+class ModelBatchDto(msrest.serialization.Model):
+    """ModelBatchDto.
+
+    :ivar model_ids:
+    :vartype model_ids: list[str]
+    """
+
+    _attribute_map = {
+        'model_ids': {'key': 'modelIds', 'type': '[str]'},
+    }
+
+    def __init__(
+        self,
+        *,
+        model_ids: Optional[List[str]] = None,
+        **kwargs
+    ):
+        """
+        :keyword model_ids:
+        :paramtype model_ids: list[str]
+        """
+        super(ModelBatchDto, self).__init__(**kwargs)
+        self.model_ids = model_ids
+
+
+class ModelBatchResponseDto(msrest.serialization.Model):
+    """ModelBatchResponseDto.
+
+    :ivar models: Dictionary of :code:`<Model>`.
+    :vartype models: dict[str, ~azure.mgmt.machinelearningservices.models.Model]
+    """
+
+    _attribute_map = {
+        'models': {'key': 'models', 'type': '{Model}'},
+    }
+
+    def __init__(
+        self,
+        *,
+        models: Optional[Dict[str, "Model"]] = None,
+        **kwargs
+    ):
+        """
+        :keyword models: Dictionary of :code:`<Model>`.
+        :paramtype models: dict[str, ~azure.mgmt.machinelearningservices.models.Model]
+        """
+        super(ModelBatchResponseDto, self).__init__(**kwargs)
+        self.models = models
+
+
+class ModelContainerRequest(msrest.serialization.Model):
+    """ModelContainerRequest.
+
+    All required parameters must be populated in order to send to Azure.
+
+    :ivar name: Required.
+    :vartype name: str
+    :ivar description:
+    :vartype description: str
+    :ivar kv_tags: Dictionary of :code:`<string>`.
+    :vartype kv_tags: dict[str, str]
+    :ivar is_archived:
+    :vartype is_archived: bool
+    :ivar is_registered:
+    :vartype is_registered: bool
+    """
+
+    _validation = {
+        'name': {'required': True},
+    }
+
+    _attribute_map = {
+        'name': {'key': 'name', 'type': 'str'},
+        'description': {'key': 'description', 'type': 'str'},
+        'kv_tags': {'key': 'kvTags', 'type': '{str}'},
+        'is_archived': {'key': 'isArchived', 'type': 'bool'},
+        'is_registered': {'key': 'isRegistered', 'type': 'bool'},
+    }
+
+    def __init__(
+        self,
+        *,
+        name: str,
+        description: Optional[str] = None,
+        kv_tags: Optional[Dict[str, str]] = None,
+        is_archived: Optional[bool] = None,
+        is_registered: Optional[bool] = None,
+        **kwargs
+    ):
+        """
+        :keyword name: Required.
+        :paramtype name: str
+        :keyword description:
+        :paramtype description: str
+        :keyword kv_tags: Dictionary of :code:`<string>`.
+        :paramtype kv_tags: dict[str, str]
+        :keyword is_archived:
+        :paramtype is_archived: bool
+        :keyword is_registered:
+        :paramtype is_registered: bool
+        """
+        super(ModelContainerRequest, self).__init__(**kwargs)
+        self.name = name
+        self.description = description
+        self.kv_tags = kv_tags
+        self.is_archived = is_archived
+        self.is_registered = is_registered
+
+
+class ModelDeploymentSettings(msrest.serialization.Model):
+    """ModelDeploymentSettings.
+
+    All required parameters must be populated in order to send to Azure.
+
+    :ivar model_format: Required. Possible values include: "CUSTOM", "MLFLOW", "TRITON", "PRESETS".
+    :vartype model_format: str or ~azure.mgmt.machinelearningservices.models.ModelFormatEnum
+    :ivar model_name:
+    :vartype model_name: str
+    :ivar model_version:
+    :vartype model_version: str
+    :ivar model_type:
+    :vartype model_type: str
+    """
+
+    _validation = {
+        'model_format': {'required': True},
+    }
+
+    _attribute_map = {
+        'model_format': {'key': 'modelFormat', 'type': 'str'},
+        'model_name': {'key': 'ModelName', 'type': 'str'},
+        'model_version': {'key': 'ModelVersion', 'type': 'str'},
+        'model_type': {'key': 'ModelType', 'type': 'str'},
+    }
+
+    def __init__(
+        self,
+        *,
+        model_format: Union[str, "ModelFormatEnum"],
+        model_name: Optional[str] = None,
+        model_version: Optional[str] = None,
+        model_type: Optional[str] = None,
+        **kwargs
+    ):
+        """
+        :keyword model_format: Required. Possible values include: "CUSTOM", "MLFLOW", "TRITON",
+         "PRESETS".
+        :paramtype model_format: str or ~azure.mgmt.machinelearningservices.models.ModelFormatEnum
+        :keyword model_name:
+        :paramtype model_name: str
+        :keyword model_version:
+        :paramtype model_version: str
+        :keyword model_type:
+        :paramtype model_type: str
+        """
+        super(ModelDeploymentSettings, self).__init__(**kwargs)
+        self.model_format = model_format
+        self.model_name = model_name
+        self.model_version = model_version
+        self.model_type = model_type
+
+
+class ModelListModelsRequestPagedResponse(msrest.serialization.Model):
+    """ModelListModelsRequestPagedResponse.
+
+    :ivar value:
+    :vartype value: list[~azure.mgmt.machinelearningservices.models.Model]
+    :ivar next_link:
+    :vartype next_link: str
+    :ivar continuation_token:
+    :vartype continuation_token: str
+    :ivar next_request:
+    :vartype next_request: ~azure.mgmt.machinelearningservices.models.ListModelsRequest
+    """
+
+    _attribute_map = {
+        'value': {'key': 'value', 'type': '[Model]'},
+        'next_link': {'key': 'nextLink', 'type': 'str'},
+        'continuation_token': {'key': 'continuationToken', 'type': 'str'},
+        'next_request': {'key': 'nextRequest', 'type': 'ListModelsRequest'},
+    }
+
+    def __init__(
+        self,
+        *,
+        value: Optional[List["Model"]] = None,
+        next_link: Optional[str] = None,
+        continuation_token: Optional[str] = None,
+        next_request: Optional["ListModelsRequest"] = None,
+        **kwargs
+    ):
+        """
+        :keyword value:
+        :paramtype value: list[~azure.mgmt.machinelearningservices.models.Model]
+        :keyword next_link:
+        :paramtype next_link: str
+        :keyword continuation_token:
+        :paramtype continuation_token: str
+        :keyword next_request:
+        :paramtype next_request: ~azure.mgmt.machinelearningservices.models.ListModelsRequest
+        """
+        super(ModelListModelsRequestPagedResponse, self).__init__(**kwargs)
+        self.value = value
+        self.next_link = next_link
+        self.continuation_token = continuation_token
+        self.next_request = next_request
+
+
+class ModelPagedResponse(msrest.serialization.Model):
+    """ModelPagedResponse.
+
+    :ivar value:
+    :vartype value: list[~azure.mgmt.machinelearningservices.models.Model]
+    :ivar continuation_token:
+    :vartype continuation_token: str
+    :ivar next_link:
+    :vartype next_link: str
+    """
+
+    _attribute_map = {
+        'value': {'key': 'value', 'type': '[Model]'},
+        'continuation_token': {'key': 'continuationToken', 'type': 'str'},
+        'next_link': {'key': 'nextLink', 'type': 'str'},
+    }
+
+    def __init__(
+        self,
+        *,
+        value: Optional[List["Model"]] = None,
+        continuation_token: Optional[str] = None,
+        next_link: Optional[str] = None,
+        **kwargs
+    ):
+        """
+        :keyword value:
+        :paramtype value: list[~azure.mgmt.machinelearningservices.models.Model]
+        :keyword continuation_token:
+        :paramtype continuation_token: str
+        :keyword next_link:
+        :paramtype next_link: str
+        """
+        super(ModelPagedResponse, self).__init__(**kwargs)
+        self.value = value
+        self.continuation_token = continuation_token
+        self.next_link = next_link
+
+
+class ModelPathResponseDto(msrest.serialization.Model):
+    """ModelPathResponseDto.
+
+    :ivar path:
+    :vartype path: str
+    :ivar type:
+    :vartype type: str
+    """
+
+    _attribute_map = {
+        'path': {'key': 'path', 'type': 'str'},
+        'type': {'key': 'type', 'type': 'str'},
+    }
+
+    def __init__(
+        self,
+        *,
+        path: Optional[str] = None,
+        type: Optional[str] = None,
+        **kwargs
+    ):
+        """
+        :keyword path:
+        :paramtype path: str
+        :keyword type:
+        :paramtype type: str
+        """
+        super(ModelPathResponseDto, self).__init__(**kwargs)
+        self.path = path
+        self.type = type
+
+
+class ModelSchema(msrest.serialization.Model):
+    """ModelSchema.
+
+    All required parameters must be populated in order to send to Azure.
+
+    :ivar name: Required.
+    :vartype name: str
+    :ivar data_type: Possible values include: "undefined", "bool", "uint8", "uint16", "uint32",
+     "uint64", "int8", "int16", "int32", "int64", "float16", "float32", "float64", "bfloat16",
+     "complex64", "complex128", "string".
+    :vartype data_type: str or ~azure.mgmt.machinelearningservices.models.ModelSchemaDataType
+    :ivar shape:
+    :vartype shape: list[int]
+    """
+
+    _validation = {
+        'name': {'required': True},
+    }
+
+    _attribute_map = {
+        'name': {'key': 'name', 'type': 'str'},
+        'data_type': {'key': 'dataType', 'type': 'str'},
+        'shape': {'key': 'shape', 'type': '[int]'},
+    }
+
+    def __init__(
+        self,
+        *,
+        name: str,
+        data_type: Optional[Union[str, "ModelSchemaDataType"]] = None,
+        shape: Optional[List[int]] = None,
+        **kwargs
+    ):
+        """
+        :keyword name: Required.
+        :paramtype name: str
+        :keyword data_type: Possible values include: "undefined", "bool", "uint8", "uint16", "uint32",
+         "uint64", "int8", "int16", "int32", "int64", "float16", "float32", "float64", "bfloat16",
+         "complex64", "complex128", "string".
+        :paramtype data_type: str or ~azure.mgmt.machinelearningservices.models.ModelSchemaDataType
+        :keyword shape:
+        :paramtype shape: list[int]
+        """
+        super(ModelSchema, self).__init__(**kwargs)
+        self.name = name
+        self.data_type = data_type
+        self.shape = shape
+
+
+class ModelSettingsIdentifiers(msrest.serialization.Model):
+    """ModelSettingsIdentifiers.
+
+    :ivar model_id:
+    :vartype model_id: str
+    :ivar engine_id:
+    :vartype engine_id: str
+    """
+
+    _attribute_map = {
+        'model_id': {'key': 'modelId', 'type': 'str'},
+        'engine_id': {'key': 'engineId', 'type': 'str'},
+    }
+
+    def __init__(
+        self,
+        *,
+        model_id: Optional[str] = None,
+        engine_id: Optional[str] = None,
+        **kwargs
+    ):
+        """
+        :keyword model_id:
+        :paramtype model_id: str
+        :keyword engine_id:
+        :paramtype engine_id: str
+        """
+        super(ModelSettingsIdentifiers, self).__init__(**kwargs)
+        self.model_id = model_id
+        self.engine_id = engine_id
+
+
+class Operation(msrest.serialization.Model):
+    """Operation.
+
+    :ivar value: Anything.
+    :vartype value: any
+    :ivar path:
+    :vartype path: str
+    :ivar op:
+    :vartype op: str
+    :ivar from_property:
+    :vartype from_property: str
+    """
+
+    _attribute_map = {
+        'value': {'key': 'value', 'type': 'object'},
+        'path': {'key': 'path', 'type': 'str'},
+        'op': {'key': 'op', 'type': 'str'},
+        'from_property': {'key': 'from', 'type': 'str'},
+    }
+
+    def __init__(
+        self,
+        *,
+        value: Optional[Any] = None,
+        path: Optional[str] = None,
+        op: Optional[str] = None,
+        from_property: Optional[str] = None,
+        **kwargs
+    ):
+        """
+        :keyword value: Anything.
+        :paramtype value: any
+        :keyword path:
+        :paramtype path: str
+        :keyword op:
+        :paramtype op: str
+        :keyword from_property:
+        :paramtype from_property: str
+        """
+        super(Operation, self).__init__(**kwargs)
+        self.value = value
+        self.path = path
+        self.op = op
+        self.from_property = from_property
+
+
+class ProviderFeedEntityRequestDto(msrest.serialization.Model):
+    """ProviderFeedEntityRequestDto.
+
+    :ivar source_and_target_asset_ids:
+    :vartype source_and_target_asset_ids:
+     ~azure.mgmt.machinelearningservices.models.DependencyMapItemDto
+    :ivar dependency_map_dto:
+    :vartype dependency_map_dto: ~azure.mgmt.machinelearningservices.models.DependencyMapDto
+    :ivar label_to_version_mapping: Dictionary of :code:`<string>`.
+    :vartype label_to_version_mapping: dict[str, str]
+    """
+
+    _attribute_map = {
+        'source_and_target_asset_ids': {'key': 'sourceAndTargetAssetIds', 'type': 'DependencyMapItemDto'},
+        'dependency_map_dto': {'key': 'dependencyMapDto', 'type': 'DependencyMapDto'},
+        'label_to_version_mapping': {'key': 'labelToVersionMapping', 'type': '{str}'},
+    }
+
+    def __init__(
+        self,
+        *,
+        source_and_target_asset_ids: Optional["DependencyMapItemDto"] = None,
+        dependency_map_dto: Optional["DependencyMapDto"] = None,
+        label_to_version_mapping: Optional[Dict[str, str]] = None,
+        **kwargs
+    ):
+        """
+        :keyword source_and_target_asset_ids:
+        :paramtype source_and_target_asset_ids:
+         ~azure.mgmt.machinelearningservices.models.DependencyMapItemDto
+        :keyword dependency_map_dto:
+        :paramtype dependency_map_dto: ~azure.mgmt.machinelearningservices.models.DependencyMapDto
+        :keyword label_to_version_mapping: Dictionary of :code:`<string>`.
+        :paramtype label_to_version_mapping: dict[str, str]
+        """
+        super(ProviderFeedEntityRequestDto, self).__init__(**kwargs)
+        self.source_and_target_asset_ids = source_and_target_asset_ids
+        self.dependency_map_dto = dependency_map_dto
+        self.label_to_version_mapping = label_to_version_mapping
+
+
+class Relationship(msrest.serialization.Model):
+    """Relationship.
+
+    Variables are only populated by the server, and will be ignored when sending a request.
+
+    :ivar additional_properties: Unmatched properties from the message are deserialized to this
+     collection.
+    :vartype additional_properties: dict[str, any]
+    :ivar relation_type:
+    :vartype relation_type: str
+    :ivar target_entity_id:
+    :vartype target_entity_id: str
+    :ivar asset_id:
+    :vartype asset_id: str
+    :ivar entity_type:
+    :vartype entity_type: str
+    :ivar direction:
+    :vartype direction: str
+    :ivar entity_container_id:
+    :vartype entity_container_id: str
+    """
+
+    _validation = {
+        'entity_type': {'readonly': True},
+        'entity_container_id': {'readonly': True},
+    }
+
+    _attribute_map = {
+        'additional_properties': {'key': '', 'type': '{object}'},
+        'relation_type': {'key': 'relationType', 'type': 'str'},
+        'target_entity_id': {'key': 'targetEntityId', 'type': 'str'},
+        'asset_id': {'key': 'assetId', 'type': 'str'},
+        'entity_type': {'key': 'entityType', 'type': 'str'},
+        'direction': {'key': 'direction', 'type': 'str'},
+        'entity_container_id': {'key': 'entityContainerId', 'type': 'str'},
+    }
+
+    def __init__(
+        self,
+        *,
+        additional_properties: Optional[Dict[str, Any]] = None,
+        relation_type: Optional[str] = None,
+        target_entity_id: Optional[str] = None,
+        asset_id: Optional[str] = None,
+        direction: Optional[str] = None,
+        **kwargs
+    ):
+        """
+        :keyword additional_properties: Unmatched properties from the message are deserialized to this
+         collection.
+        :paramtype additional_properties: dict[str, any]
+        :keyword relation_type:
+        :paramtype relation_type: str
+        :keyword target_entity_id:
+        :paramtype target_entity_id: str
+        :keyword asset_id:
+        :paramtype asset_id: str
+        :keyword direction:
+        :paramtype direction: str
+        """
+        super(Relationship, self).__init__(**kwargs)
+        self.additional_properties = additional_properties
+        self.relation_type = relation_type
+        self.target_entity_id = target_entity_id
+        self.asset_id = asset_id
+        self.entity_type = None
+        self.direction = direction
+        self.entity_container_id = None
+
+
+class ServiceResponseBase(msrest.serialization.Model):
+    """ServiceResponseBase.
+
+    :ivar id:
+    :vartype id: str
+    :ivar name:
+    :vartype name: str
+    :ivar description:
+    :vartype description: str
+    :ivar tags: A set of tags.
+    :vartype tags: list[str]
+    :ivar kv_tags: Dictionary of :code:`<string>`.
+    :vartype kv_tags: dict[str, str]
+    :ivar properties: Dictionary of :code:`<string>`.
+    :vartype properties: dict[str, str]
+    :ivar operation_id:
+    :vartype operation_id: str
+    :ivar state: Possible values include: "Transitioning", "Healthy", "Unhealthy", "Failed",
+     "Unschedulable".
+    :vartype state: str or ~azure.mgmt.machinelearningservices.models.WebServiceState
+    :ivar created_time:
+    :vartype created_time: ~datetime.datetime
+    :ivar updated_time:
+    :vartype updated_time: ~datetime.datetime
+    :ivar error:
+    :vartype error: ~azure.mgmt.machinelearningservices.models.ErrorResponse
+    :ivar compute_type: Possible values include: "ACS", "FPGA", "ACI", "AKS", "AMLCOMPUTE", "IOT",
+     "MIR", "AKSENDPOINT", "MIRSINGLEMODEL", "MIRAMLCOMPUTE", "MIRGA", "AMLARC", "BATCHAMLCOMPUTE",
+     "UNKNOWN".
+    :vartype compute_type: str or ~azure.mgmt.machinelearningservices.models.ComputeEnvironmentType
+    :ivar deployment_type: Possible values include: "GRPCRealtimeEndpoint", "HttpRealtimeEndpoint",
+     "Batch".
+    :vartype deployment_type: str or ~azure.mgmt.machinelearningservices.models.DeploymentType
+    :ivar created_by:
+    :vartype created_by: ~azure.mgmt.machinelearningservices.models.User
+    :ivar endpoint_name:
+    :vartype endpoint_name: str
+    """
+
+    _attribute_map = {
+        'id': {'key': 'id', 'type': 'str'},
+        'name': {'key': 'name', 'type': 'str'},
+        'description': {'key': 'description', 'type': 'str'},
+        'tags': {'key': 'tags', 'type': '[str]'},
+        'kv_tags': {'key': 'kvTags', 'type': '{str}'},
+        'properties': {'key': 'properties', 'type': '{str}'},
+        'operation_id': {'key': 'operationId', 'type': 'str'},
+        'state': {'key': 'state', 'type': 'str'},
+        'created_time': {'key': 'createdTime', 'type': 'iso-8601'},
+        'updated_time': {'key': 'updatedTime', 'type': 'iso-8601'},
+        'error': {'key': 'error', 'type': 'ErrorResponse'},
+        'compute_type': {'key': 'computeType', 'type': 'str'},
+        'deployment_type': {'key': 'deploymentType', 'type': 'str'},
+        'created_by': {'key': 'createdBy', 'type': 'User'},
+        'endpoint_name': {'key': 'endpointName', 'type': 'str'},
+    }
+
+    def __init__(
+        self,
+        *,
+        id: Optional[str] = None,
+        name: Optional[str] = None,
+        description: Optional[str] = None,
+        tags: Optional[List[str]] = None,
+        kv_tags: Optional[Dict[str, str]] = None,
+        properties: Optional[Dict[str, str]] = None,
+        operation_id: Optional[str] = None,
+        state: Optional[Union[str, "WebServiceState"]] = None,
+        created_time: Optional[datetime.datetime] = None,
+        updated_time: Optional[datetime.datetime] = None,
+        error: Optional["ErrorResponse"] = None,
+        compute_type: Optional[Union[str, "ComputeEnvironmentType"]] = None,
+        deployment_type: Optional[Union[str, "DeploymentType"]] = None,
+        created_by: Optional["User"] = None,
+        endpoint_name: Optional[str] = None,
+        **kwargs
+    ):
+        """
+        :keyword id:
+        :paramtype id: str
+        :keyword name:
+        :paramtype name: str
+        :keyword description:
+        :paramtype description: str
+        :keyword tags: A set of tags.
+        :paramtype tags: list[str]
+        :keyword kv_tags: Dictionary of :code:`<string>`.
+        :paramtype kv_tags: dict[str, str]
+        :keyword properties: Dictionary of :code:`<string>`.
+        :paramtype properties: dict[str, str]
+        :keyword operation_id:
+        :paramtype operation_id: str
+        :keyword state: Possible values include: "Transitioning", "Healthy", "Unhealthy", "Failed",
+         "Unschedulable".
+        :paramtype state: str or ~azure.mgmt.machinelearningservices.models.WebServiceState
+        :keyword created_time:
+        :paramtype created_time: ~datetime.datetime
+        :keyword updated_time:
+        :paramtype updated_time: ~datetime.datetime
+        :keyword error:
+        :paramtype error: ~azure.mgmt.machinelearningservices.models.ErrorResponse
+        :keyword compute_type: Possible values include: "ACS", "FPGA", "ACI", "AKS", "AMLCOMPUTE",
+         "IOT", "MIR", "AKSENDPOINT", "MIRSINGLEMODEL", "MIRAMLCOMPUTE", "MIRGA", "AMLARC",
+         "BATCHAMLCOMPUTE", "UNKNOWN".
+        :paramtype compute_type: str or
+         ~azure.mgmt.machinelearningservices.models.ComputeEnvironmentType
+        :keyword deployment_type: Possible values include: "GRPCRealtimeEndpoint",
+         "HttpRealtimeEndpoint", "Batch".
+        :paramtype deployment_type: str or ~azure.mgmt.machinelearningservices.models.DeploymentType
+        :keyword created_by:
+        :paramtype created_by: ~azure.mgmt.machinelearningservices.models.User
+        :keyword endpoint_name:
+        :paramtype endpoint_name: str
+        """
+        super(ServiceResponseBase, self).__init__(**kwargs)
+        self.id = id
+        self.name = name
+        self.description = description
+        self.tags = tags
+        self.kv_tags = kv_tags
+        self.properties = properties
+        self.operation_id = operation_id
+        self.state = state
+        self.created_time = created_time
+        self.updated_time = updated_time
+        self.error = error
+        self.compute_type = compute_type
+        self.deployment_type = deployment_type
+        self.created_by = created_by
+        self.endpoint_name = endpoint_name
+
+
+class User(msrest.serialization.Model):
+    """User.
+
+    :ivar user_object_id:
+    :vartype user_object_id: str
+    :ivar user_pu_id:
+    :vartype user_pu_id: str
+    :ivar user_idp:
+    :vartype user_idp: str
+    :ivar user_alt_sec_id:
+    :vartype user_alt_sec_id: str
+    :ivar user_iss:
+    :vartype user_iss: str
+    :ivar user_tenant_id:
+    :vartype user_tenant_id: str
+    :ivar user_name:
+    :vartype user_name: str
+    :ivar upn:
+    :vartype upn: str
+    """
+
+    _attribute_map = {
+        'user_object_id': {'key': 'userObjectId', 'type': 'str'},
+        'user_pu_id': {'key': 'userPuId', 'type': 'str'},
+        'user_idp': {'key': 'userIdp', 'type': 'str'},
+        'user_alt_sec_id': {'key': 'userAltSecId', 'type': 'str'},
+        'user_iss': {'key': 'userIss', 'type': 'str'},
+        'user_tenant_id': {'key': 'userTenantId', 'type': 'str'},
+        'user_name': {'key': 'userName', 'type': 'str'},
+        'upn': {'key': 'upn', 'type': 'str'},
+    }
+
+    def __init__(
+        self,
+        *,
+        user_object_id: Optional[str] = None,
+        user_pu_id: Optional[str] = None,
+        user_idp: Optional[str] = None,
+        user_alt_sec_id: Optional[str] = None,
+        user_iss: Optional[str] = None,
+        user_tenant_id: Optional[str] = None,
+        user_name: Optional[str] = None,
+        upn: Optional[str] = None,
+        **kwargs
+    ):
+        """
+        :keyword user_object_id:
+        :paramtype user_object_id: str
+        :keyword user_pu_id:
+        :paramtype user_pu_id: str
+        :keyword user_idp:
+        :paramtype user_idp: str
+        :keyword user_alt_sec_id:
+        :paramtype user_alt_sec_id: str
+        :keyword user_iss:
+        :paramtype user_iss: str
+        :keyword user_tenant_id:
+        :paramtype user_tenant_id: str
+        :keyword user_name:
+        :paramtype user_name: str
+        :keyword upn:
+        :paramtype upn: str
+        """
+        super(User, self).__init__(**kwargs)
+        self.user_object_id = user_object_id
+        self.user_pu_id = user_pu_id
+        self.user_idp = user_idp
+        self.user_alt_sec_id = user_alt_sec_id
+        self.user_iss = user_iss
+        self.user_tenant_id = user_tenant_id
+        self.user_name = user_name
+        self.upn = upn