Interface ModelMonitoringObjectiveConfig.TrainingDatasetOrBuilder (3.56.0)

Version latest

• 3.56.0 (latest)
• 3.55.0
• 3.54.0
• 3.53.0
• 3.52.0
• 3.50.0
• 3.49.0
• 3.48.0
• 3.47.0
• 3.46.0
• 3.45.0
• 3.44.0
• 3.43.0
• 3.42.0
• 3.41.0
• 3.40.0
• 3.38.0
• 3.37.0
• 3.36.0
• 3.35.0
• 3.34.0
• 3.33.0
• 3.32.0
• 3.31.0
• 3.30.0
• 3.29.0
• 3.28.0
• 3.25.0
• 3.24.0
• 3.23.0
• 3.22.0
• 3.21.0
• 3.20.0
• 3.19.0
• 3.18.0
• 3.17.0
• 3.16.0
• 3.15.0
• 3.14.0
• 3.13.0
• 3.12.0
• 3.11.0
• 3.10.0
• 3.9.0
• 3.8.0
• 3.7.0
• 3.6.0
• 3.5.0
• 3.4.2
• 3.3.0
• 3.2.0
• 3.0.0
• 2.9.8
• 2.8.9
• 2.7.4
• 2.5.3
• 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.v1beta1.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.v1beta1.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. "jsonl" The source file is a JSONL 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. "jsonl" The source file is a JSONL 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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.SamplingStrategy logging_sampling_strategy = 7;

Returns
Type	Description
boolean	Whether the loggingSamplingStrategy field is set.