# --------------------------------------------------------- # 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", ]