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# ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
"""Contains automated machine learning classes for Azure Machine Learning SDKv2.
Main areas include managing AutoML tasks.
"""
from azure.ai.ml.entities._job.automl import TrainingSettings
from azure.ai.ml.entities._job.automl.image import (
LogTrainingMetrics,
LogValidationLoss,
ImageClassificationJob,
ImageClassificationMultilabelJob,
ImageClassificationSearchSpace,
ImageInstanceSegmentationJob,
ImageLimitSettings,
ImageModelSettingsClassification,
ImageModelSettingsObjectDetection,
ImageObjectDetectionJob,
ImageObjectDetectionSearchSpace,
ImageSweepSettings,
)
from azure.ai.ml.entities._job.automl.nlp import (
NlpFeaturizationSettings,
NlpFixedParameters,
NlpLimitSettings,
NlpSearchSpace,
NlpSweepSettings,
TextClassificationJob,
TextClassificationMultilabelJob,
TextNerJob,
)
from azure.ai.ml.entities._job.automl.search_space import SearchSpace
from azure.ai.ml.entities._job.automl.stack_ensemble_settings import (
StackEnsembleSettings,
)
from azure.ai.ml.entities._job.automl.tabular import (
ClassificationJob,
ColumnTransformer,
ForecastingJob,
ForecastingSettings,
RegressionJob,
TabularFeaturizationSettings,
TabularLimitSettings,
)
from .._restclient.v2023_04_01_preview.models import (
BlockedTransformers,
ClassificationModels,
ClassificationMultilabelPrimaryMetrics,
ClassificationPrimaryMetrics,
FeaturizationMode,
ForecastHorizonMode,
ForecastingModels,
ForecastingPrimaryMetrics,
InstanceSegmentationPrimaryMetrics,
LearningRateScheduler,
NCrossValidationsMode,
ObjectDetectionPrimaryMetrics,
RegressionModels,
RegressionPrimaryMetrics,
SamplingAlgorithmType,
ShortSeriesHandlingConfiguration,
StochasticOptimizer,
TargetAggregationFunction,
TargetLagsMode,
TargetRollingWindowSizeMode,
UseStl,
ValidationMetricType,
)
from ._automl_image import (
image_classification,
image_classification_multilabel,
image_instance_segmentation,
image_object_detection,
)
from ._automl_nlp import text_classification, text_classification_multilabel, text_ner
from ._automl_tabular import classification, forecasting, regression
__all__ = [
"ClassificationModels",
"RegressionModels",
"ForecastingModels",
"FeaturizationMode",
"NCrossValidationsMode",
"ForecastHorizonMode",
"ShortSeriesHandlingConfiguration",
"TargetLagsMode",
"TargetRollingWindowSizeMode",
"TargetAggregationFunction",
"UseStl",
"ClassificationPrimaryMetrics",
"RegressionPrimaryMetrics",
"ForecastingPrimaryMetrics",
"ClassificationMultilabelPrimaryMetrics",
"ObjectDetectionPrimaryMetrics",
"InstanceSegmentationPrimaryMetrics",
"ColumnTransformer",
"TabularFeaturizationSettings",
"ForecastingSettings",
"TabularLimitSettings",
"NlpFeaturizationSettings",
"NlpFixedParameters",
"NlpLimitSettings",
"NlpSweepSettings",
"NlpSearchSpace",
"LogTrainingMetrics",
"LogValidationLoss",
"ImageLimitSettings",
"ImageModelSettingsClassification",
"ImageModelSettingsObjectDetection",
"ImageSweepSettings",
"ImageObjectDetectionSearchSpace",
"ImageClassificationSearchSpace",
"TrainingSettings",
"image_classification",
"image_classification_multilabel",
"image_object_detection",
"image_instance_segmentation",
"text_classification",
"text_classification_multilabel",
"text_ner",
"classification",
"regression",
"forecasting",
"SearchSpace",
"StackEnsembleSettings",
"BlockedTransformers",
"ClassificationJob",
"ForecastingJob",
"RegressionJob",
"ImageClassificationJob",
"ImageClassificationMultilabelJob",
"ImageObjectDetectionJob",
"ImageInstanceSegmentationJob",
"LearningRateScheduler",
"SamplingAlgorithmType",
"StochasticOptimizer",
"TextClassificationJob",
"TextClassificationMultilabelJob",
"TextNerJob",
"ValidationMetricType",
]
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