Discovery Engine V1BETA API - Class Google::Cloud::DiscoveryEngine::V1beta::TrainCustomModelResponse (v0.23.1)

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

#error_config=

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

#error_samples

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

#error_samples=

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

#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.