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 Summary

Modifier and Type	Method and Description
BigQuerySource	getBigquerySource() The BigQuery table of the unmanaged Dataset used to train this Model.
BigQuerySourceOrBuilder	getBigquerySourceOrBuilder() The BigQuery table of the unmanaged Dataset used to train this Model.
String	getDataFormat() Data format of the dataset, only applicable if the input is from Google Cloud Storage.
com.google.protobuf.ByteString	getDataFormatBytes() Data format of the dataset, only applicable if the input is from Google Cloud Storage.
String	getDataset() The resource name of the Dataset used to train this Model.
com.google.protobuf.ByteString	getDatasetBytes() The resource name of the Dataset used to train this Model.
ModelMonitoringObjectiveConfig.TrainingDataset.DataSourceCase	getDataSourceCase()
GcsSource	getGcsSource() The Google Cloud Storage uri of the unmanaged Dataset used to train this Model.
GcsSourceOrBuilder	getGcsSourceOrBuilder() The Google Cloud Storage uri of the unmanaged Dataset used to train this Model.
SamplingStrategy	getLoggingSamplingStrategy() Strategy to sample data from Training Dataset.
SamplingStrategyOrBuilder	getLoggingSamplingStrategyOrBuilder() Strategy to sample data from Training Dataset.
String	getTargetField() The target field name the model is to predict.
com.google.protobuf.ByteString	getTargetFieldBytes() The target field name the model is to predict.
boolean	hasBigquerySource() The BigQuery table of the unmanaged Dataset used to train this Model.
boolean	hasDataset() The resource name of the Dataset used to train this Model.
boolean	hasGcsSource() The Google Cloud Storage uri of the unmanaged Dataset used to train this Model.
boolean	hasLoggingSamplingStrategy() Strategy to sample data from Training Dataset.

Methods inherited from interface com.google.protobuf.MessageOrBuilder

findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof

Methods inherited from interface com.google.protobuf.MessageLiteOrBuilder

isInitialized

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.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()