Class: Google::Cloud::DiscoveryEngine::V1beta::CustomTuningModel
- Inherits:
-
Object
- Object
- Google::Cloud::DiscoveryEngine::V1beta::CustomTuningModel
- Extended by:
- Protobuf::MessageExts::ClassMethods
- Includes:
- Protobuf::MessageExts
- Defined in:
- proto_docs/google/cloud/discoveryengine/v1beta/custom_tuning_model.rb
Overview
Metadata that describes a custom tuned model.
Defined Under Namespace
Modules: ModelState Classes: MetricsEntry
Instance Attribute Summary collapse
-
#create_time ⇒ ::Google::Protobuf::Timestamp
deprecated
Deprecated.
This field is deprecated and may be removed in the next major version update.
-
#display_name ⇒ ::String
The display name of the model.
-
#metrics ⇒ ::Google::Protobuf::Map{::String => ::Float}
The metrics of the trained model.
-
#model_state ⇒ ::Google::Cloud::DiscoveryEngine::V1beta::CustomTuningModel::ModelState
The state that the model is in (e.g.
TRAININGorTRAINING_FAILED). -
#model_version ⇒ ::Integer
The version of the model.
-
#name ⇒ ::String
Required.
-
#training_start_time ⇒ ::Google::Protobuf::Timestamp
Timestamp the model training was initiated.
Instance Attribute Details
#create_time ⇒ ::Google::Protobuf::Timestamp
This field is deprecated and may be removed in the next major version update.
Returns Timestamp the Model was created at.
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# File 'proto_docs/google/cloud/discoveryengine/v1beta/custom_tuning_model.rb', line 51 class CustomTuningModel include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods # @!attribute [rw] key # @return [::String] # @!attribute [rw] value # @return [::Float] class MetricsEntry include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end # The state of the model. module ModelState # Default value. MODEL_STATE_UNSPECIFIED = 0 # The model is in a paused training state. TRAINING_PAUSED = 1 # The model is currently training. TRAINING = 2 # The model has successfully completed training. TRAINING_COMPLETE = 3 # The model is ready for serving. READY_FOR_SERVING = 4 # The model training failed. TRAINING_FAILED = 5 # The model training finished successfully but metrics did not improve. NO_IMPROVEMENT = 6 end end |
#display_name ⇒ ::String
Returns The display name of the model.
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# File 'proto_docs/google/cloud/discoveryengine/v1beta/custom_tuning_model.rb', line 51 class CustomTuningModel include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods # @!attribute [rw] key # @return [::String] # @!attribute [rw] value # @return [::Float] class MetricsEntry include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end # The state of the model. module ModelState # Default value. MODEL_STATE_UNSPECIFIED = 0 # The model is in a paused training state. TRAINING_PAUSED = 1 # The model is currently training. TRAINING = 2 # The model has successfully completed training. TRAINING_COMPLETE = 3 # The model is ready for serving. READY_FOR_SERVING = 4 # The model training failed. TRAINING_FAILED = 5 # The model training finished successfully but metrics did not improve. NO_IMPROVEMENT = 6 end end |
#metrics ⇒ ::Google::Protobuf::Map{::String => ::Float}
Returns The metrics of the trained model.
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# File 'proto_docs/google/cloud/discoveryengine/v1beta/custom_tuning_model.rb', line 51 class CustomTuningModel include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods # @!attribute [rw] key # @return [::String] # @!attribute [rw] value # @return [::Float] class MetricsEntry include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end # The state of the model. module ModelState # Default value. MODEL_STATE_UNSPECIFIED = 0 # The model is in a paused training state. TRAINING_PAUSED = 1 # The model is currently training. TRAINING = 2 # The model has successfully completed training. TRAINING_COMPLETE = 3 # The model is ready for serving. READY_FOR_SERVING = 4 # The model training failed. TRAINING_FAILED = 5 # The model training finished successfully but metrics did not improve. NO_IMPROVEMENT = 6 end end |
#model_state ⇒ ::Google::Cloud::DiscoveryEngine::V1beta::CustomTuningModel::ModelState
Returns The state that the model is in (e.g.TRAINING or TRAINING_FAILED).
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# File 'proto_docs/google/cloud/discoveryengine/v1beta/custom_tuning_model.rb', line 51 class CustomTuningModel include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods # @!attribute [rw] key # @return [::String] # @!attribute [rw] value # @return [::Float] class MetricsEntry include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end # The state of the model. module ModelState # Default value. MODEL_STATE_UNSPECIFIED = 0 # The model is in a paused training state. TRAINING_PAUSED = 1 # The model is currently training. TRAINING = 2 # The model has successfully completed training. TRAINING_COMPLETE = 3 # The model is ready for serving. READY_FOR_SERVING = 4 # The model training failed. TRAINING_FAILED = 5 # The model training finished successfully but metrics did not improve. NO_IMPROVEMENT = 6 end end |
#model_version ⇒ ::Integer
Returns The version of the model.
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# File 'proto_docs/google/cloud/discoveryengine/v1beta/custom_tuning_model.rb', line 51 class CustomTuningModel include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods # @!attribute [rw] key # @return [::String] # @!attribute [rw] value # @return [::Float] class MetricsEntry include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end # The state of the model. module ModelState # Default value. MODEL_STATE_UNSPECIFIED = 0 # The model is in a paused training state. TRAINING_PAUSED = 1 # The model is currently training. TRAINING = 2 # The model has successfully completed training. TRAINING_COMPLETE = 3 # The model is ready for serving. READY_FOR_SERVING = 4 # The model training failed. TRAINING_FAILED = 5 # The model training finished successfully but metrics did not improve. NO_IMPROVEMENT = 6 end end |
#name ⇒ ::String
Returns Required. The fully qualified resource name of the model.
Format:
projects/{project_number}/locations/{location}/collections/{collection}/dataStores/{data_store}/customTuningModels/{custom_tuning_model}
model must be an alpha-numerical string with limit of 40 characters.
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# File 'proto_docs/google/cloud/discoveryengine/v1beta/custom_tuning_model.rb', line 51 class CustomTuningModel include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods # @!attribute [rw] key # @return [::String] # @!attribute [rw] value # @return [::Float] class MetricsEntry include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end # The state of the model. module ModelState # Default value. MODEL_STATE_UNSPECIFIED = 0 # The model is in a paused training state. TRAINING_PAUSED = 1 # The model is currently training. TRAINING = 2 # The model has successfully completed training. TRAINING_COMPLETE = 3 # The model is ready for serving. READY_FOR_SERVING = 4 # The model training failed. TRAINING_FAILED = 5 # The model training finished successfully but metrics did not improve. NO_IMPROVEMENT = 6 end end |
#training_start_time ⇒ ::Google::Protobuf::Timestamp
Returns Timestamp the model training was initiated.
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# File 'proto_docs/google/cloud/discoveryengine/v1beta/custom_tuning_model.rb', line 51 class CustomTuningModel include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods # @!attribute [rw] key # @return [::String] # @!attribute [rw] value # @return [::Float] class MetricsEntry include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end # The state of the model. module ModelState # Default value. MODEL_STATE_UNSPECIFIED = 0 # The model is in a paused training state. TRAINING_PAUSED = 1 # The model is currently training. TRAINING = 2 # The model has successfully completed training. TRAINING_COMPLETE = 3 # The model is ready for serving. READY_FOR_SERVING = 4 # The model training failed. TRAINING_FAILED = 5 # The model training finished successfully but metrics did not improve. NO_IMPROVEMENT = 6 end end |