Class: Google::Apis::AiplatformV1::LearningGenaiRootClassifierOutput
- Inherits:
-
Object
- Object
- Google::Apis::AiplatformV1::LearningGenaiRootClassifierOutput
- Includes:
- Core::Hashable, Core::JsonObjectSupport
- Defined in:
- lib/google/apis/aiplatform_v1/classes.rb,
lib/google/apis/aiplatform_v1/representations.rb,
lib/google/apis/aiplatform_v1/representations.rb
Instance Attribute Summary collapse
-
#rule_output ⇒ Google::Apis::AiplatformV1::LearningGenaiRootRuleOutput
If set, this is the output of the first matching rule.
-
#rule_outputs ⇒ Array<Google::Apis::AiplatformV1::LearningGenaiRootRuleOutput>
outputs of all matching rule.
-
#state ⇒ Google::Apis::AiplatformV1::LearningGenaiRootClassifierState
DataProviderOutput and MetricOutput can be saved between calls to the Classifier framework.
Instance Method Summary collapse
-
#initialize(**args) ⇒ LearningGenaiRootClassifierOutput
constructor
A new instance of LearningGenaiRootClassifierOutput.
-
#update!(**args) ⇒ Object
Update properties of this object.
Constructor Details
#initialize(**args) ⇒ LearningGenaiRootClassifierOutput
Returns a new instance of LearningGenaiRootClassifierOutput.
29081 29082 29083 |
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 29081 def initialize(**args) update!(**args) end |
Instance Attribute Details
#rule_output ⇒ Google::Apis::AiplatformV1::LearningGenaiRootRuleOutput
If set, this is the output of the first matching rule.
Corresponds to the JSON property ruleOutput
29065 29066 29067 |
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 29065 def rule_output @rule_output end |
#rule_outputs ⇒ Array<Google::Apis::AiplatformV1::LearningGenaiRootRuleOutput>
outputs of all matching rule.
Corresponds to the JSON property ruleOutputs
29070 29071 29072 |
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 29070 def rule_outputs @rule_outputs end |
#state ⇒ Google::Apis::AiplatformV1::LearningGenaiRootClassifierState
DataProviderOutput and MetricOutput can be saved between calls to the
Classifier framework. For instance, you can run the query classifier, get
outputs from those metrics, then use them in a result classifier as well.
Example rule based on this idea: and_rules rule metric_name: '
query_safesearch_v2' ... rule metric_name: 'response_safesearch_v2' ...
Corresponds to the JSON property state
29079 29080 29081 |
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 29079 def state @state end |
Instance Method Details
#update!(**args) ⇒ Object
Update properties of this object
29086 29087 29088 29089 29090 |
# File 'lib/google/apis/aiplatform_v1/classes.rb', line 29086 def update!(**args) @rule_output = args[:rule_output] if args.key?(:rule_output) @rule_outputs = args[:rule_outputs] if args.key?(:rule_outputs) @state = args[:state] if args.key?(:state) end |