Package com.google.cloud.aiplatform.v1.schema.trainingjob.definition (3.6.0)

Classes

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

Protobuf type google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassification

AutoMlImageClassification.Builder

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

Protobuf type google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassification

AutoMlImageClassificationInputs

Protobuf type google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationInputs

AutoMlImageClassificationInputs.Builder

Protobuf type google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationInputs

AutoMlImageClassificationMetadata

Protobuf type google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationMetadata

AutoMlImageClassificationMetadata.Builder

Protobuf type google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationMetadata

AutoMlImageObjectDetection

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

Protobuf type google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetection

AutoMlImageObjectDetection.Builder

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

Protobuf type google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetection

AutoMlImageObjectDetectionInputs

Protobuf type google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionInputs

AutoMlImageObjectDetectionInputs.Builder

Protobuf type google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionInputs

AutoMlImageObjectDetectionMetadata

Protobuf type google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionMetadata

AutoMlImageObjectDetectionMetadata.Builder

Protobuf type google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageObjectDetectionMetadata

AutoMlImageSegmentation

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

Protobuf type google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentation

AutoMlImageSegmentation.Builder

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

Protobuf type google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentation

AutoMlImageSegmentationInputs

Protobuf type google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationInputs

AutoMlImageSegmentationInputs.Builder

Protobuf type google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationInputs

AutoMlImageSegmentationMetadata

Protobuf type google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationMetadata

AutoMlImageSegmentationMetadata.Builder

Protobuf type google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationMetadata

AutoMlTables

A TrainingJob that trains and uploads an AutoML Tables Model.

Protobuf type google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTables

AutoMlTables.Builder

A TrainingJob that trains and uploads an AutoML Tables Model.

Protobuf type google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTables

AutoMlTablesInputs

Protobuf type google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs

AutoMlTablesInputs.Builder

Protobuf type google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesInputs

AutoMlTablesInputs.Transformation

Protobuf type google.cloud.aiplatform.v1.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.v1.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.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.AutoTransformation

AutoMlTablesInputs.Transformation.Builder

Protobuf type google.cloud.aiplatform.v1.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.v1.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.v1.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.v1.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.v1.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.v1.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.v1.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.v1.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.v1.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.v1.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.v1.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.v1.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.v1.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.v1.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.v1.schema.trainingjob.definition.AutoMlTablesInputs.Transformation.TimestampTransformation

AutoMlTablesMetadata

Model metadata specific to AutoML Tables.

Protobuf type google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadata

AutoMlTablesMetadata.Builder

Model metadata specific to AutoML Tables.

Protobuf type google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTablesMetadata

AutoMlTextClassification

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

Protobuf type google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextClassification

AutoMlTextClassification.Builder

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

Protobuf type google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextClassification

AutoMlTextClassificationInputs

Protobuf type google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextClassificationInputs

AutoMlTextClassificationInputs.Builder

Protobuf type google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextClassificationInputs

AutoMlTextExtraction

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

Protobuf type google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtraction

AutoMlTextExtraction.Builder

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

Protobuf type google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtraction

AutoMlTextExtractionInputs

Protobuf type google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtractionInputs

AutoMlTextExtractionInputs.Builder

Protobuf type google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextExtractionInputs

AutoMlTextSentiment

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

Protobuf type google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentiment

AutoMlTextSentiment.Builder

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

Protobuf type google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentiment

AutoMlTextSentimentInputs

Protobuf type google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentimentInputs

AutoMlTextSentimentInputs.Builder

Protobuf type google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlTextSentimentInputs

AutoMlVideoActionRecognition

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

Protobuf type google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoActionRecognition

AutoMlVideoActionRecognition.Builder

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

Protobuf type google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoActionRecognition

AutoMlVideoActionRecognitionInputs

Protobuf type google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoActionRecognitionInputs

AutoMlVideoActionRecognitionInputs.Builder

Protobuf type google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoActionRecognitionInputs

AutoMlVideoClassification

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

Protobuf type google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoClassification

AutoMlVideoClassification.Builder

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

Protobuf type google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoClassification

AutoMlVideoClassificationInputs

Protobuf type google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoClassificationInputs

AutoMlVideoClassificationInputs.Builder

Protobuf type google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoClassificationInputs

AutoMlVideoObjectTracking

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

Protobuf type google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoObjectTracking

AutoMlVideoObjectTracking.Builder

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

Protobuf type google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoObjectTracking

AutoMlVideoObjectTrackingInputs

Protobuf type google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoObjectTrackingInputs

AutoMlVideoObjectTrackingInputs.Builder

Protobuf type google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlVideoObjectTrackingInputs

ExportEvaluatedDataItemsConfig

Configuration for exporting test set predictions to a BigQuery table.

Protobuf type google.cloud.aiplatform.v1.schema.trainingjob.definition.ExportEvaluatedDataItemsConfig

ExportEvaluatedDataItemsConfig.Builder

Configuration for exporting test set predictions to a BigQuery table.

Protobuf type google.cloud.aiplatform.v1.schema.trainingjob.definition.ExportEvaluatedDataItemsConfig

Package com.google.cloud.aiplatform.v1.schema.trainingjob.definition (3.6.0)

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