Package com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition (3.18.0)

Version 3.18.0

• 3.54.0 (latest)
• 3.53.0
• 3.52.0
• 3.50.0
• 3.49.0
• 3.48.0
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• 3.2.0
• 3.0.0
• 2.9.8
• 2.8.9
• 2.7.4
• 2.5.3
• 2.4.0

Beta

This library is covered by the Pre-GA Offerings Terms of the Terms of Service. Pre-GA libraries might have limited support, and changes to pre-GA libraries might not be compatible with other pre-GA versions. For more information, see the launch stage descriptions.

Classes

AutoMLForecastingProto

AutoMLImageClassificationProto

AutoMLImageObjectDetectionProto

AutoMLImageSegmentationProto

AutoMLTablesProto

AutoMLTextClassificationProto

AutoMLTextExtractionProto

AutoMLTextSentimentProto

AutoMLVideoActionRecognitionProto

AutoMLVideoClassificationProto

AutoMLVideoObjectTrackingProto

AutoMlForecasting

A TrainingJob that trains and uploads an AutoML Forecasting Model.

Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecasting

AutoMlForecasting.Builder

A TrainingJob that trains and uploads an AutoML Forecasting Model.

Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecasting

AutoMlForecastingInputs

Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs

AutoMlForecastingInputs.Builder

Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs

AutoMlForecastingInputs.Granularity

A duration of time expressed in time granularity units.

Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Granularity

AutoMlForecastingInputs.Granularity.Builder

A duration of time expressed in time granularity units.

Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Granularity

AutoMlForecastingInputs.Transformation

Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation

AutoMlForecastingInputs.Transformation.AutoTransformation

Training pipeline will infer the proper transformation based on the statistic of dataset.

Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.AutoTransformation

AutoMlForecastingInputs.Transformation.AutoTransformation.Builder

Training pipeline will infer the proper transformation based on the statistic of dataset.

Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.AutoTransformation

AutoMlForecastingInputs.Transformation.Builder

Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation

AutoMlForecastingInputs.Transformation.CategoricalTransformation

Training pipeline will perform following transformation functions.

• The categorical string as is--no change to case, punctuation, spelling, tense, and so on.
• Convert the category name to a dictionary lookup index and generate an embedding for each index.
• Categories that appear less than 5 times in the training dataset are treated as the "unknown" category. The "unknown" category gets its own special lookup index and resulting embedding.

Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.CategoricalTransformation

AutoMlForecastingInputs.Transformation.CategoricalTransformation.Builder

Training pipeline will perform following transformation functions.

• The categorical string as is--no change to case, punctuation, spelling, tense, and so on.
• Convert the category name to a dictionary lookup index and generate an embedding for each index.
• Categories that appear less than 5 times in the training dataset are treated as the "unknown" category. The "unknown" category gets its own special lookup index and resulting embedding.

Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.CategoricalTransformation

AutoMlForecastingInputs.Transformation.NumericTransformation

Training pipeline will perform following transformation functions.

• The value converted to float32.
• The z_score of the value.
• log(value+1) when the value is greater than or equal to 0. Otherwise, this transformation is not applied and the value is considered a missing value.
• z_score of log(value+1) when the value is greater than or equal to 0. Otherwise, this transformation is not applied and the value is considered a missing value.
• A boolean value that indicates whether the value is valid.

Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.NumericTransformation

AutoMlForecastingInputs.Transformation.NumericTransformation.Builder

Training pipeline will perform following transformation functions.

• The value converted to float32.
• The z_score of the value.
• log(value+1) when the value is greater than or equal to 0. Otherwise, this transformation is not applied and the value is considered a missing value.
• z_score of log(value+1) when the value is greater than or equal to 0. Otherwise, this transformation is not applied and the value is considered a missing value.
• A boolean value that indicates whether the value is valid.

Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.NumericTransformation

AutoMlForecastingInputs.Transformation.TextTransformation

Training pipeline will perform following transformation functions.

• The text as is--no change to case, punctuation, spelling, tense, and so on.
• Convert the category name to a dictionary lookup index and generate an embedding for each index.

Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.TextTransformation

AutoMlForecastingInputs.Transformation.TextTransformation.Builder

Training pipeline will perform following transformation functions.

• The text as is--no change to case, punctuation, spelling, tense, and so on.
• Convert the category name to a dictionary lookup index and generate an embedding for each index.

Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.TextTransformation

AutoMlForecastingInputs.Transformation.TimestampTransformation

Training pipeline will perform following transformation functions.

• Apply the transformation functions for Numerical columns.
• Determine the year, month, day,and weekday. Treat each value from the timestamp as a Categorical column.
• Invalid numerical values (for example, values that fall outside of a typical timestamp range, or are extreme values) receive no special treatment and are not removed.

Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.TimestampTransformation

AutoMlForecastingInputs.Transformation.TimestampTransformation.Builder

Training pipeline will perform following transformation functions.

• Apply the transformation functions for Numerical columns.
• Determine the year, month, day,and weekday. Treat each value from the timestamp as a Categorical column.
• Invalid numerical values (for example, values that fall outside of a typical timestamp range, or are extreme values) receive no special treatment and are not removed.

Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Transformation.TimestampTransformation

AutoMlForecastingMetadata

Model metadata specific to AutoML Forecasting.

Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingMetadata

AutoMlForecastingMetadata.Builder

Model metadata specific to AutoML Forecasting.

Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingMetadata

AutoMlImageClassification

A TrainingJob that trains and uploads an AutoML Image Classification Model.

Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlImageClassification

AutoMlImageClassification.Builder

A TrainingJob that trains and uploads an AutoML Image Classification Model.

Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlImageClassification

AutoMlImageClassificationInputs

Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlImageClassificationInputs

AutoMlImageClassificationInputs.Builder

Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlImageClassificationInputs

AutoMlImageClassificationMetadata

Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlImageClassificationMetadata

AutoMlImageClassificationMetadata.Builder

Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlImageClassificationMetadata

AutoMlImageObjectDetection

A TrainingJob that trains and uploads an AutoML Image Object Detection Model.

Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlImageObjectDetection

AutoMlImageObjectDetection.Builder

A TrainingJob that trains and uploads an AutoML Image Object Detection Model.

Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlImageObjectDetection

AutoMlImageObjectDetectionInputs

Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlImageObjectDetectionInputs

AutoMlImageObjectDetectionInputs.Builder

Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlImageObjectDetectionInputs

AutoMlImageObjectDetectionMetadata

Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlImageObjectDetectionMetadata

AutoMlImageObjectDetectionMetadata.Builder

Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlImageObjectDetectionMetadata

AutoMlImageSegmentation

A TrainingJob that trains and uploads an AutoML Image Segmentation Model.

Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlImageSegmentation

AutoMlImageSegmentation.Builder

A TrainingJob that trains and uploads an AutoML Image Segmentation Model.

Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlImageSegmentation

AutoMlImageSegmentationInputs

Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlImageSegmentationInputs

AutoMlImageSegmentationInputs.Builder

Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlImageSegmentationInputs

AutoMlImageSegmentationMetadata

Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlImageSegmentationMetadata

AutoMlImageSegmentationMetadata.Builder

Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlImageSegmentationMetadata

AutoMlTables

A TrainingJob that trains and uploads an AutoML Tables Model.

Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTables

AutoMlTables.Builder

A TrainingJob that trains and uploads an AutoML Tables Model.

Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTables

AutoMlTablesInputs

Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs

AutoMlTablesInputs.Builder

Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs

AutoMlTablesInputs.Transformation

Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation

AutoMlTablesInputs.Transformation.AutoTransformation

Training pipeline will infer the proper transformation based on the statistic of dataset.

Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.AutoTransformation

AutoMlTablesInputs.Transformation.AutoTransformation.Builder

Training pipeline will infer the proper transformation based on the statistic of dataset.

Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.AutoTransformation

AutoMlTablesInputs.Transformation.Builder

Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation

AutoMlTablesInputs.Transformation.CategoricalArrayTransformation

Treats the column as categorical array and performs following transformation functions.

• For each element in the array, convert the category name to a dictionary lookup index and generate an embedding for each index. Combine the embedding of all elements into a single embedding using the mean.
• Empty arrays treated as an embedding of zeroes.

Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.CategoricalArrayTransformation

AutoMlTablesInputs.Transformation.CategoricalArrayTransformation.Builder

Treats the column as categorical array and performs following transformation functions.

• For each element in the array, convert the category name to a dictionary lookup index and generate an embedding for each index. Combine the embedding of all elements into a single embedding using the mean.
• Empty arrays treated as an embedding of zeroes.

Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.CategoricalArrayTransformation

AutoMlTablesInputs.Transformation.CategoricalTransformation

Training pipeline will perform following transformation functions.

• The categorical string as is--no change to case, punctuation, spelling, tense, and so on.
• Convert the category name to a dictionary lookup index and generate an embedding for each index.
• Categories that appear less than 5 times in the training dataset are treated as the "unknown" category. The "unknown" category gets its own special lookup index and resulting embedding.

Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.CategoricalTransformation

AutoMlTablesInputs.Transformation.CategoricalTransformation.Builder

Training pipeline will perform following transformation functions.

• The categorical string as is--no change to case, punctuation, spelling, tense, and so on.
• Convert the category name to a dictionary lookup index and generate an embedding for each index.
• Categories that appear less than 5 times in the training dataset are treated as the "unknown" category. The "unknown" category gets its own special lookup index and resulting embedding.

Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.CategoricalTransformation

AutoMlTablesInputs.Transformation.NumericArrayTransformation

Treats the column as numerical array and performs following transformation functions.

• All transformations for Numerical types applied to the average of the all elements.
• The average of empty arrays is treated as zero.

Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericArrayTransformation

AutoMlTablesInputs.Transformation.NumericArrayTransformation.Builder

Treats the column as numerical array and performs following transformation functions.

• All transformations for Numerical types applied to the average of the all elements.
• The average of empty arrays is treated as zero.

Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericArrayTransformation

AutoMlTablesInputs.Transformation.NumericTransformation

Training pipeline will perform following transformation functions.

• The value converted to float32.
• The z_score of the value.
• log(value+1) when the value is greater than or equal to 0. Otherwise, this transformation is not applied and the value is considered a missing value.
• z_score of log(value+1) when the value is greater than or equal to 0. Otherwise, this transformation is not applied and the value is considered a missing value.
• A boolean value that indicates whether the value is valid.

Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericTransformation

AutoMlTablesInputs.Transformation.NumericTransformation.Builder

Training pipeline will perform following transformation functions.

• The value converted to float32.
• The z_score of the value.
• log(value+1) when the value is greater than or equal to 0. Otherwise, this transformation is not applied and the value is considered a missing value.
• z_score of log(value+1) when the value is greater than or equal to 0. Otherwise, this transformation is not applied and the value is considered a missing value.
• A boolean value that indicates whether the value is valid.

Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.NumericTransformation

AutoMlTablesInputs.Transformation.TextArrayTransformation

Treats the column as text array and performs following transformation functions.

• Concatenate all text values in the array into a single text value using a space (" ") as a delimiter, and then treat the result as a single text value. Apply the transformations for Text columns.
• Empty arrays treated as an empty text.

Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TextArrayTransformation

AutoMlTablesInputs.Transformation.TextArrayTransformation.Builder

Treats the column as text array and performs following transformation functions.

• Concatenate all text values in the array into a single text value using a space (" ") as a delimiter, and then treat the result as a single text value. Apply the transformations for Text columns.
• Empty arrays treated as an empty text.

Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TextArrayTransformation

AutoMlTablesInputs.Transformation.TextTransformation

Training pipeline will perform following transformation functions.

• The text as is--no change to case, punctuation, spelling, tense, and so on.
• Tokenize text to words. Convert each words to a dictionary lookup index and generate an embedding for each index. Combine the embedding of all elements into a single embedding using the mean.
• Tokenization is based on unicode script boundaries.
• Missing values get their own lookup index and resulting embedding.
• Stop-words receive no special treatment and are not removed.

Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TextTransformation

AutoMlTablesInputs.Transformation.TextTransformation.Builder

Training pipeline will perform following transformation functions.

• The text as is--no change to case, punctuation, spelling, tense, and so on.
• Tokenize text to words. Convert each words to a dictionary lookup index and generate an embedding for each index. Combine the embedding of all elements into a single embedding using the mean.
• Tokenization is based on unicode script boundaries.
• Missing values get their own lookup index and resulting embedding.
• Stop-words receive no special treatment and are not removed.

Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TextTransformation

AutoMlTablesInputs.Transformation.TimestampTransformation

Training pipeline will perform following transformation functions.

• Apply the transformation functions for Numerical columns.
• Determine the year, month, day,and weekday. Treat each value from the
• timestamp as a Categorical column.
• Invalid numerical values (for example, values that fall outside of a typical timestamp range, or are extreme values) receive no special treatment and are not removed.

Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TimestampTransformation

AutoMlTablesInputs.Transformation.TimestampTransformation.Builder

Training pipeline will perform following transformation functions.

• Apply the transformation functions for Numerical columns.
• Determine the year, month, day,and weekday. Treat each value from the
• timestamp as a Categorical column.
• Invalid numerical values (for example, values that fall outside of a typical timestamp range, or are extreme values) receive no special treatment and are not removed.

Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TimestampTransformation

AutoMlTablesMetadata

Model metadata specific to AutoML Tables.

Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesMetadata

AutoMlTablesMetadata.Builder

Model metadata specific to AutoML Tables.

Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTablesMetadata

AutoMlTextClassification

A TrainingJob that trains and uploads an AutoML Text Classification Model.

Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTextClassification

AutoMlTextClassification.Builder

A TrainingJob that trains and uploads an AutoML Text Classification Model.

Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTextClassification

AutoMlTextClassificationInputs

Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTextClassificationInputs

AutoMlTextClassificationInputs.Builder

Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTextClassificationInputs

AutoMlTextExtraction

A TrainingJob that trains and uploads an AutoML Text Extraction Model.

Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTextExtraction

AutoMlTextExtraction.Builder

A TrainingJob that trains and uploads an AutoML Text Extraction Model.

Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTextExtraction

AutoMlTextExtractionInputs

Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTextExtractionInputs

AutoMlTextExtractionInputs.Builder

Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTextExtractionInputs

AutoMlTextSentiment

A TrainingJob that trains and uploads an AutoML Text Sentiment Model.

Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTextSentiment

AutoMlTextSentiment.Builder

A TrainingJob that trains and uploads an AutoML Text Sentiment Model.

Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTextSentiment

AutoMlTextSentimentInputs

Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTextSentimentInputs

AutoMlTextSentimentInputs.Builder

Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlTextSentimentInputs

AutoMlVideoActionRecognition

A TrainingJob that trains and uploads an AutoML Video Action Recognition Model.

Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlVideoActionRecognition

AutoMlVideoActionRecognition.Builder

A TrainingJob that trains and uploads an AutoML Video Action Recognition Model.

Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlVideoActionRecognition

AutoMlVideoActionRecognitionInputs

Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlVideoActionRecognitionInputs

AutoMlVideoActionRecognitionInputs.Builder

Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlVideoActionRecognitionInputs

AutoMlVideoClassification

A TrainingJob that trains and uploads an AutoML Video Classification Model.

Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlVideoClassification

AutoMlVideoClassification.Builder

A TrainingJob that trains and uploads an AutoML Video Classification Model.

Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlVideoClassification

AutoMlVideoClassificationInputs

Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlVideoClassificationInputs

AutoMlVideoClassificationInputs.Builder

Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlVideoClassificationInputs

AutoMlVideoObjectTracking

A TrainingJob that trains and uploads an AutoML Video ObjectTracking Model.

Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlVideoObjectTracking

AutoMlVideoObjectTracking.Builder

A TrainingJob that trains and uploads an AutoML Video ObjectTracking Model.

Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlVideoObjectTracking

AutoMlVideoObjectTrackingInputs

Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlVideoObjectTrackingInputs

AutoMlVideoObjectTrackingInputs.Builder

Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlVideoObjectTrackingInputs

ExportEvaluatedDataItemsConfig

Configuration for exporting test set predictions to a BigQuery table.

Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.ExportEvaluatedDataItemsConfig

ExportEvaluatedDataItemsConfig.Builder

Configuration for exporting test set predictions to a BigQuery table.

Protobuf type google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.ExportEvaluatedDataItemsConfig

ExportEvaluatedDataItemsConfigProto

Interfaces

AutoMlForecastingInputs.GranularityOrBuilder

AutoMlForecastingInputs.Transformation.AutoTransformationOrBuilder

AutoMlForecastingInputs.Transformation.CategoricalTransformationOrBuilder

AutoMlForecastingInputs.Transformation.NumericTransformationOrBuilder

AutoMlForecastingInputs.Transformation.TextTransformationOrBuilder

AutoMlForecastingInputs.Transformation.TimestampTransformationOrBuilder

AutoMlForecastingInputs.TransformationOrBuilder

AutoMlForecastingInputsOrBuilder

AutoMlForecastingMetadataOrBuilder

AutoMlForecastingOrBuilder

AutoMlImageClassificationInputsOrBuilder

AutoMlImageClassificationMetadataOrBuilder

AutoMlImageClassificationOrBuilder

AutoMlImageObjectDetectionInputsOrBuilder

AutoMlImageObjectDetectionMetadataOrBuilder

AutoMlImageObjectDetectionOrBuilder

AutoMlImageSegmentationInputsOrBuilder

AutoMlImageSegmentationMetadataOrBuilder

AutoMlImageSegmentationOrBuilder

AutoMlTablesInputs.Transformation.AutoTransformationOrBuilder

AutoMlTablesInputs.Transformation.CategoricalArrayTransformationOrBuilder

AutoMlTablesInputs.Transformation.CategoricalTransformationOrBuilder

AutoMlTablesInputs.Transformation.NumericArrayTransformationOrBuilder

AutoMlTablesInputs.Transformation.NumericTransformationOrBuilder

AutoMlTablesInputs.Transformation.TextArrayTransformationOrBuilder

AutoMlTablesInputs.Transformation.TextTransformationOrBuilder

AutoMlTablesInputs.Transformation.TimestampTransformationOrBuilder

AutoMlTablesInputs.TransformationOrBuilder

AutoMlTablesInputsOrBuilder

AutoMlTablesMetadataOrBuilder

AutoMlTablesOrBuilder

AutoMlTextClassificationInputsOrBuilder

AutoMlTextClassificationOrBuilder

AutoMlTextExtractionInputsOrBuilder

AutoMlTextExtractionOrBuilder

AutoMlTextSentimentInputsOrBuilder

AutoMlTextSentimentOrBuilder

AutoMlVideoActionRecognitionInputsOrBuilder

AutoMlVideoActionRecognitionOrBuilder

AutoMlVideoClassificationInputsOrBuilder

AutoMlVideoClassificationOrBuilder

AutoMlVideoObjectTrackingInputsOrBuilder

AutoMlVideoObjectTrackingOrBuilder

ExportEvaluatedDataItemsConfigOrBuilder

Enums

AutoMlForecastingInputs.Transformation.TransformationDetailCase

AutoMlImageClassificationInputs.ModelType

Protobuf enum google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlImageClassificationInputs.ModelType

AutoMlImageClassificationMetadata.SuccessfulStopReason

Protobuf enum google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlImageClassificationMetadata.SuccessfulStopReason

AutoMlImageObjectDetectionInputs.ModelType

Protobuf enum google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlImageObjectDetectionInputs.ModelType

AutoMlImageObjectDetectionMetadata.SuccessfulStopReason

Protobuf enum google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlImageObjectDetectionMetadata.SuccessfulStopReason

AutoMlImageSegmentationInputs.ModelType

Protobuf enum google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlImageSegmentationInputs.ModelType

AutoMlImageSegmentationMetadata.SuccessfulStopReason

Protobuf enum google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlImageSegmentationMetadata.SuccessfulStopReason

AutoMlTablesInputs.AdditionalOptimizationObjectiveConfigCase

AutoMlTablesInputs.Transformation.TransformationDetailCase

AutoMlVideoActionRecognitionInputs.ModelType

Protobuf enum google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlVideoActionRecognitionInputs.ModelType

AutoMlVideoClassificationInputs.ModelType

Protobuf enum google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlVideoClassificationInputs.ModelType

AutoMlVideoObjectTrackingInputs.ModelType

Protobuf enum google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlVideoObjectTrackingInputs.ModelType