Discovery Engine V1BETA API - Class Google::Cloud::DiscoveryEngine::V1beta::TrainCustomModelRequest (v0.14.0)

Version 0.14.0

• 0.17.0 (latest)
• 0.16.0
• 0.15.0
• 0.14.2
• 0.13.0
• 0.12.0
• 0.11.0
• 0.10.0
• 0.9.0
• 0.8.0
• 0.7.2
• 0.6.0
• 0.5.0
• 0.4.0
• 0.3.0
• 0.2.1
• 0.1.0

Reference documentation and code samples for the Discovery Engine V1BETA API class Google::Cloud::DiscoveryEngine::V1beta::TrainCustomModelRequest.

Request message for SearchTuningService.TrainCustomModel method.

Inherits

• Object

Extended By

• Google::Protobuf::MessageExts::ClassMethods

Includes

• Google::Protobuf::MessageExts

Methods

#data_store

def data_store() -> ::String

Returns

• (::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.

#data_store=

def data_store=(value) -> ::String

Parameter

• value (::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.

Returns

• (::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.

#error_config

def error_config() -> ::Google::Cloud::DiscoveryEngine::V1beta::ImportErrorConfig

Returns

• (::Google::Cloud::DiscoveryEngine::V1beta::ImportErrorConfig) — The desired location of errors incurred during the data ingestion and training.

#error_config=

def error_config=(value) -> ::Google::Cloud::DiscoveryEngine::V1beta::ImportErrorConfig

Parameter

• value (::Google::Cloud::DiscoveryEngine::V1beta::ImportErrorConfig) — The desired location of errors incurred during the data ingestion and training.

Returns

• (::Google::Cloud::DiscoveryEngine::V1beta::ImportErrorConfig) — The desired location of errors incurred during the data ingestion and training.

#gcs_training_input

def gcs_training_input() -> ::Google::Cloud::DiscoveryEngine::V1beta::TrainCustomModelRequest::GcsTrainingInput

Returns

• (::Google::Cloud::DiscoveryEngine::V1beta::TrainCustomModelRequest::GcsTrainingInput) — Cloud Storage training input.

#gcs_training_input=

def gcs_training_input=(value) -> ::Google::Cloud::DiscoveryEngine::V1beta::TrainCustomModelRequest::GcsTrainingInput

Parameter

• value (::Google::Cloud::DiscoveryEngine::V1beta::TrainCustomModelRequest::GcsTrainingInput) — Cloud Storage training input.

Returns

• (::Google::Cloud::DiscoveryEngine::V1beta::TrainCustomModelRequest::GcsTrainingInput) — Cloud Storage training input.

#model_id

def model_id() -> ::String

Returns

• (::String) — If not provided, a UUID will be generated.

#model_id=

def model_id=(value) -> ::String

Parameter

• value (::String) — If not provided, a UUID will be generated.

Returns

• (::String) — If not provided, a UUID will be generated.

#model_type

def model_type() -> ::String

Returns

• (::String) —

  Model to be trained. Supported values are:

  • search-tuning: Fine tuning the search system based on data provided.

#model_type=

def model_type=(value) -> ::String

Parameter

• value (::String) —

  Model to be trained. Supported values are:

  • search-tuning: Fine tuning the search system based on data provided.

Returns

• (::String) —

  Model to be trained. Supported values are:

  • search-tuning: Fine tuning the search system based on data provided.