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
- (::Google::Cloud::DiscoveryEngine::V1beta::ImportErrorConfig) — Echoes the destination for the complete errors in the request if set.
#error_config=
def error_config=(value) -> ::Google::Cloud::DiscoveryEngine::V1beta::ImportErrorConfig
Parameter
- value (::Google::Cloud::DiscoveryEngine::V1beta::ImportErrorConfig) — Echoes the destination for the complete errors in the request if set.
Returns
- (::Google::Cloud::DiscoveryEngine::V1beta::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.