Google Cloud Ai Platform V1 Client - Class TrainingDataset (0.18.0)

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`