Package com.google.cloud.aiplatform.v1

Interface ModelMonitoringObjectiveConfig.TrainingDatasetOrBuilder

All Superinterfaces:
com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder
All Known Implementing Classes:
ModelMonitoringObjectiveConfig.TrainingDataset, ModelMonitoringObjectiveConfig.TrainingDataset.Builder
Enclosing class:
ModelMonitoringObjectiveConfig
public static interface ModelMonitoringObjectiveConfig.TrainingDatasetOrBuilder extends com.google.protobuf.MessageOrBuilder

  • Method Details

    • hasDataset

      boolean hasDataset()
       The resource name of the Dataset used to train this Model.
      string dataset = 3 [(.google.api.resource_reference) = { ... }
      Returns:
      Whether the dataset field is set.

    • getDataset

      String getDataset()
       The resource name of the Dataset used to train this Model.
      string dataset = 3 [(.google.api.resource_reference) = { ... }
      Returns:
      The dataset.

    • getDatasetBytes

      com.google.protobuf.ByteString getDatasetBytes()
       The resource name of the Dataset used to train this Model.
      string dataset = 3 [(.google.api.resource_reference) = { ... }
      Returns:
      The bytes for dataset.

    • hasGcsSource

      boolean hasGcsSource()
       The Google Cloud Storage uri of the unmanaged Dataset used to train
 this Model.
      .google.cloud.aiplatform.v1.GcsSource gcs_source = 4;
      Returns:
      Whether the gcsSource field is set.

    • getGcsSource

      GcsSource getGcsSource()
       The Google Cloud Storage uri of the unmanaged Dataset used to train
 this Model.
      .google.cloud.aiplatform.v1.GcsSource gcs_source = 4;
      Returns:
      The gcsSource.

    • getGcsSourceOrBuilder

      GcsSourceOrBuilder getGcsSourceOrBuilder()
       The Google Cloud Storage uri of the unmanaged Dataset used to train
 this Model.
      .google.cloud.aiplatform.v1.GcsSource gcs_source = 4;

    • hasBigquerySource

      boolean hasBigquerySource()
       The BigQuery table of the unmanaged Dataset used to train this
 Model.
      .google.cloud.aiplatform.v1.BigQuerySource bigquery_source = 5;
      Returns:
      Whether the bigquerySource field is set.

    • getBigquerySource

      BigQuerySource getBigquerySource()
       The BigQuery table of the unmanaged Dataset used to train this
 Model.
      .google.cloud.aiplatform.v1.BigQuerySource bigquery_source = 5;
      Returns:
      The bigquerySource.

    • getBigquerySourceOrBuilder

      BigQuerySourceOrBuilder getBigquerySourceOrBuilder()
       The BigQuery table of the unmanaged Dataset used to train this
 Model.
      .google.cloud.aiplatform.v1.BigQuerySource bigquery_source = 5;

    • getDataFormat

      String getDataFormat()
       Data format of the dataset, only applicable if the input is from
 Google Cloud Storage.
 The possible formats are:

 "tf-record"
 The source file is a TFRecord file.

 "csv"
 The source file is a CSV file.
 "jsonl"
 The source file is a JSONL file.
      string data_format = 2;
      Returns:
      The dataFormat.

    • getDataFormatBytes

      com.google.protobuf.ByteString getDataFormatBytes()
       Data format of the dataset, only applicable if the input is from
 Google Cloud Storage.
 The possible formats are:

 "tf-record"
 The source file is a TFRecord file.

 "csv"
 The source file is a CSV file.
 "jsonl"
 The source file is a JSONL file.
      string data_format = 2;
      Returns:
      The bytes for dataFormat.

    • getTargetField

      String getTargetField()
       The target field name the model is to predict.
 This field will be excluded when doing Predict and (or) Explain for the
 training data.
      string target_field = 6;
      Returns:
      The targetField.

    • getTargetFieldBytes

      com.google.protobuf.ByteString getTargetFieldBytes()
       The target field name the model is to predict.
 This field will be excluded when doing Predict and (or) Explain for the
 training data.
      string target_field = 6;
      Returns:
      The bytes for targetField.

    • hasLoggingSamplingStrategy

      boolean hasLoggingSamplingStrategy()
       Strategy to sample data from Training Dataset.
 If not set, we process the whole dataset.
      .google.cloud.aiplatform.v1.SamplingStrategy logging_sampling_strategy = 7;
      Returns:
      Whether the loggingSamplingStrategy field is set.

    • getLoggingSamplingStrategy

      SamplingStrategy getLoggingSamplingStrategy()
       Strategy to sample data from Training Dataset.
 If not set, we process the whole dataset.
      .google.cloud.aiplatform.v1.SamplingStrategy logging_sampling_strategy = 7;
      Returns:
      The loggingSamplingStrategy.

    • getLoggingSamplingStrategyOrBuilder

      SamplingStrategyOrBuilder getLoggingSamplingStrategyOrBuilder()
       Strategy to sample data from Training Dataset.
 If not set, we process the whole dataset.
      .google.cloud.aiplatform.v1.SamplingStrategy logging_sampling_strategy = 7;

    • getDataSourceCase

      ModelMonitoringObjectiveConfig.TrainingDataset.DataSourceCase getDataSourceCase()