Interface ModelMonitoringObjectiveConfig.TrainingDatasetOrBuilder (2.4.0) 

public static interface ModelMonitoringObjectiveConfig.TrainingDatasetOrBuilder extends MessageOrBuilder

Implements

MessageOrBuilder

Methods

getBigquerySource()

public abstract BigQuerySource getBigquerySource()

The BigQuery table of the unmanaged Dataset used to train this Model.

.google.cloud.aiplatform.v1.BigQuerySource bigquery_source = 5;

Returns
Type Description
BigQuerySource

The bigquerySource.

getBigquerySourceOrBuilder()

public abstract BigQuerySourceOrBuilder getBigquerySourceOrBuilder()

The BigQuery table of the unmanaged Dataset used to train this Model.

.google.cloud.aiplatform.v1.BigQuerySource bigquery_source = 5;

Returns
Type Description
BigQuerySourceOrBuilder

getDataFormat()

public abstract 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.

string data_format = 2;

Returns
Type Description
String

The dataFormat.

getDataFormatBytes()

public abstract 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.

string data_format = 2;

Returns
Type Description
ByteString

The bytes for dataFormat.

getDataSourceCase()

public abstract ModelMonitoringObjectiveConfig.TrainingDataset.DataSourceCase getDataSourceCase()
Returns
Type Description
ModelMonitoringObjectiveConfig.TrainingDataset.DataSourceCase

getDataset()

public abstract String getDataset()

The resource name of the Dataset used to train this Model.

string dataset = 3 [(.google.api.resource_reference) = { ... }

Returns
Type Description
String

The dataset.

getDatasetBytes()

public abstract ByteString getDatasetBytes()

The resource name of the Dataset used to train this Model.

string dataset = 3 [(.google.api.resource_reference) = { ... }

Returns
Type Description
ByteString

The bytes for dataset.

getGcsSource()

public abstract 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
Type Description
GcsSource

The gcsSource.

getGcsSourceOrBuilder()

public abstract GcsSourceOrBuilder getGcsSourceOrBuilder()

The Google Cloud Storage uri of the unmanaged Dataset used to train this Model.

.google.cloud.aiplatform.v1.GcsSource gcs_source = 4;

Returns
Type Description
GcsSourceOrBuilder

getLoggingSamplingStrategy()

public abstract 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
Type Description
SamplingStrategy

The loggingSamplingStrategy.

getLoggingSamplingStrategyOrBuilder()

public abstract 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;

Returns
Type Description
SamplingStrategyOrBuilder

getTargetField()

public abstract 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
Type Description
String

The targetField.

getTargetFieldBytes()

public abstract 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
Type Description
ByteString

The bytes for targetField.

hasBigquerySource()

public abstract boolean hasBigquerySource()

The BigQuery table of the unmanaged Dataset used to train this Model.

.google.cloud.aiplatform.v1.BigQuerySource bigquery_source = 5;

Returns
Type Description
boolean

Whether the bigquerySource field is set.

hasDataset()

public abstract boolean hasDataset()

The resource name of the Dataset used to train this Model.

string dataset = 3 [(.google.api.resource_reference) = { ... }

Returns
Type Description
boolean

Whether the dataset field is set.

hasGcsSource()

public abstract 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
Type Description
boolean

Whether the gcsSource field is set.

hasLoggingSamplingStrategy()

public abstract 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
Type Description
boolean

Whether the loggingSamplingStrategy field is set.