Package com.google.cloud.aiplatform.v1beta1

Interface ModelMonitoringObjectiveConfig.TrainingDatasetOrBuilder

    • Method Detail

      • 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.v1beta1.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.v1beta1.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.v1beta1.GcsSource gcs_source = 4;

      • hasBigquerySource

        boolean hasBigquerySource()
         The BigQuery table of the unmanaged Dataset used to train this
 Model.
        .google.cloud.aiplatform.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.SamplingStrategy logging_sampling_strategy = 7;