Discovery Engine V1 API - Class Google::Cloud::DiscoveryEngine::V1::TrainCustomModelResponse (v1.2.0)

Version 1.2.0

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Reference documentation and code samples for the Discovery Engine V1 API class Google::Cloud::DiscoveryEngine::V1::TrainCustomModelResponse.

Response of the TrainCustomModelRequest. This message is returned by the google.longrunning.Operations.response field.

Inherits

• Object

Extended By

• Google::Protobuf::MessageExts::ClassMethods

Includes

• Google::Protobuf::MessageExts

Methods

#error_config

def error_config() -> ::Google::Cloud::DiscoveryEngine::V1::ImportErrorConfig

Returns

• (::Google::Cloud::DiscoveryEngine::V1::ImportErrorConfig) — Echoes the destination for the complete errors in the request if set.

#error_config=

def error_config=(value) -> ::Google::Cloud::DiscoveryEngine::V1::ImportErrorConfig

Parameter

• value (::Google::Cloud::DiscoveryEngine::V1::ImportErrorConfig) — Echoes the destination for the complete errors in the request if set.

Returns

• (::Google::Cloud::DiscoveryEngine::V1::ImportErrorConfig) — Echoes the destination for the complete errors in the request if set.

#error_samples

def error_samples() -> ::Array<::Google::Rpc::Status>

Returns

• (::Array<::Google::Rpc::Status>) — A sample of errors encountered while processing the data.

#error_samples=

def error_samples=(value) -> ::Array<::Google::Rpc::Status>

Parameter

• value (::Array<::Google::Rpc::Status>) — A sample of errors encountered while processing the data.

Returns

• (::Array<::Google::Rpc::Status>) — A sample of errors encountered while processing the data.

#metrics

def metrics() -> ::Google::Protobuf::Map{::String => ::Float}

Returns

• (::Google::Protobuf::Map{::String => ::Float}) — The metrics of the trained model.

#metrics=

def metrics=(value) -> ::Google::Protobuf::Map{::String => ::Float}

Parameter

• value (::Google::Protobuf::Map{::String => ::Float}) — The metrics of the trained model.

Returns

• (::Google::Protobuf::Map{::String => ::Float}) — The metrics of the trained model.

#model_name

def model_name() -> ::String

Returns

• (::String) — Fully qualified name of the CustomTuningModel.

#model_name=

def model_name=(value) -> ::String

Parameter

• value (::String) — Fully qualified name of the CustomTuningModel.

Returns

• (::String) — Fully qualified name of the CustomTuningModel.

#model_status

def model_status() -> ::String

Returns

• (::String) —

  The trained model status. Possible values are:

  • bad-data: The training data quality is bad.
  • no-improvement: Tuning didn't improve performance. Won't deploy.
  • in-progress: Model training job creation is in progress.
  • training: Model is actively training.
  • evaluating: The model is evaluating trained metrics.
  • indexing: The model trained metrics are indexing.
  • ready: The model is ready for serving.

#model_status=

def model_status=(value) -> ::String

Parameter

• value (::String) —

  The trained model status. Possible values are:

  • bad-data: The training data quality is bad.
  • no-improvement: Tuning didn't improve performance. Won't deploy.
  • in-progress: Model training job creation is in progress.
  • training: Model is actively training.
  • evaluating: The model is evaluating trained metrics.
  • indexing: The model trained metrics are indexing.
  • ready: The model is ready for serving.

Returns

• (::String) —

  The trained model status. Possible values are:

  • bad-data: The training data quality is bad.
  • no-improvement: Tuning didn't improve performance. Won't deploy.
  • in-progress: Model training job creation is in progress.
  • training: Model is actively training.
  • evaluating: The model is evaluating trained metrics.
  • indexing: The model trained metrics are indexing.
  • ready: The model is ready for serving.