Google Cloud Ai Platform V1 Client - Class TrainingDataset (1.2.0)

Version 1.2.0

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Reference documentation and code samples for the Google Cloud Ai Platform V1 Client class TrainingDataset.

Training Dataset information.

Generated from protobuf message google.cloud.aiplatform.v1.ModelMonitoringObjectiveConfig.TrainingDataset

Namespace

Google \ Cloud \ AIPlatform \ V1 \ ModelMonitoringObjectiveConfig

Methods

__construct

Constructor.

Parameters
Name	Description
data	array Optional. Data for populating the Message object.
↳ dataset	string The resource name of the Dataset used to train this Model.
↳ gcs_source	Google\Cloud\AIPlatform\V1\GcsSource The Google Cloud Storage uri of the unmanaged Dataset used to train this Model.
↳ bigquery_source	Google\Cloud\AIPlatform\V1\BigQuerySource The BigQuery table of the unmanaged Dataset used to train this Model.
↳ data_format	string 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.
↳ target_field	string The target field name the model is to predict. This field will be excluded when doing Predict and (or) Explain for the training data.
↳ logging_sampling_strategy	Google\Cloud\AIPlatform\V1\SamplingStrategy Strategy to sample data from Training Dataset. If not set, we process the whole dataset.

getDataset

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

Returns
Type	Description
string

hasDataset

setDataset

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

Parameter
Name	Description
var	string

Returns
Type	Description
$this

getGcsSource

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

Returns
Type	Description
Google\Cloud\AIPlatform\V1\GcsSource|null

hasGcsSource

setGcsSource

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

Parameter
Name	Description
var	Google\Cloud\AIPlatform\V1\GcsSource

Returns
Type	Description
$this

getBigquerySource

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

Returns
Type	Description
Google\Cloud\AIPlatform\V1\BigQuerySource|null

hasBigquerySource

setBigquerySource

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

Parameter
Name	Description
var	Google\Cloud\AIPlatform\V1\BigQuerySource

Returns
Type	Description
$this

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.

Returns
Type	Description
string

setDataFormat

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.

Parameter
Name	Description
var	string

Returns
Type	Description
$this

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.

Returns
Type	Description
string

setTargetField

The target field name the model is to predict.

This field will be excluded when doing Predict and (or) Explain for the training data.

Parameter
Name	Description
var	string

Returns
Type	Description
$this

getLoggingSamplingStrategy

Strategy to sample data from Training Dataset.

If not set, we process the whole dataset.

Returns
Type	Description
Google\Cloud\AIPlatform\V1\SamplingStrategy|null

hasLoggingSamplingStrategy

clearLoggingSamplingStrategy

setLoggingSamplingStrategy

Strategy to sample data from Training Dataset.

If not set, we process the whole dataset.

Parameter
Name	Description
var	Google\Cloud\AIPlatform\V1\SamplingStrategy

Returns
Type	Description
$this

getDataSource

Returns
Type	Description
string