Google Cloud Discovery Engine V1 Client - Class TrainCustomModelRequest (1.6.1)

Reference documentation and code samples for the Google Cloud Discovery Engine V1 Client class TrainCustomModelRequest.

Request message for SearchTuningService.TrainCustomModel method.

Generated from protobuf message google.cloud.discoveryengine.v1.TrainCustomModelRequest

Namespace

Google \ Cloud \ DiscoveryEngine \ V1

Methods

__construct

Constructor.

Parameters
Name
Description
data
array

Optional. Data for populating the Message object.

↳ gcs_training_input
TrainCustomModelRequest\GcsTrainingInput

Cloud Storage training input.

↳ data_store
string

Required. The resource name of the Data Store, such as projects/*/locations/global/collections/default_collection/dataStores/default_data_store . This field is used to identify the data store where to train the models.

↳ model_type
string

Model to be trained. Supported values are: * * search-tuning: Fine tuning the search system based on data provided.

↳ error_config
ImportErrorConfig

The desired location of errors incurred during the data ingestion and training.

↳ model_id
string

If not provided, a UUID will be generated.

getGcsTrainingInput

Cloud Storage training input.

Returns
Type
Description

hasGcsTrainingInput

setGcsTrainingInput

Cloud Storage training input.

Parameter
Name
Description
Returns
Type
Description
$this

getDataStore

Required. The resource name of the Data Store, such as projects/*/locations/global/collections/default_collection/dataStores/default_data_store .

This field is used to identify the data store where to train the models.

Returns
Type
Description
string

setDataStore

Required. The resource name of the Data Store, such as projects/*/locations/global/collections/default_collection/dataStores/default_data_store .

This field is used to identify the data store where to train the models.

Parameter
Name
Description
var
string
Returns
Type
Description
$this

getModelType

Model to be trained. Supported values are:

  • search-tuning: Fine tuning the search system based on data provided.
Returns
Type
Description
string

setModelType

Model to be trained. Supported values are:

  • search-tuning: Fine tuning the search system based on data provided.
Parameter
Name
Description
var
string
Returns
Type
Description
$this

getErrorConfig

The desired location of errors incurred during the data ingestion and training.

Returns
Type
Description

hasErrorConfig

clearErrorConfig

setErrorConfig

The desired location of errors incurred during the data ingestion and training.

Parameter
Name
Description
Returns
Type
Description
$this

getModelId

If not provided, a UUID will be generated.

Returns
Type
Description
string

setModelId

If not provided, a UUID will be generated.

Parameter
Name
Description
var
string
Returns
Type
Description
$this

getTrainingInput

Returns
Type
Description
string
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