Class: Google::Cloud::AIPlatform::V1::StudySpec::MetricSpec::SafetyMetricConfig
- Inherits:
-
Object
- Object
- Google::Cloud::AIPlatform::V1::StudySpec::MetricSpec::SafetyMetricConfig
- Extended by:
- Protobuf::MessageExts::ClassMethods
- Includes:
- Protobuf::MessageExts
- Defined in:
- proto_docs/google/cloud/aiplatform/v1/study.rb
Overview
Used in safe optimization to specify threshold levels and risk tolerance.
Instance Attribute Summary collapse
-
#desired_min_safe_trials_fraction ⇒ ::Float
Desired minimum fraction of safe trials (over total number of trials) that should be targeted by the algorithm at any time during the study (best effort).
-
#safety_threshold ⇒ ::Float
Safety threshold (boundary value between safe and unsafe).
Instance Attribute Details
#desired_min_safe_trials_fraction ⇒ ::Float
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# File 'proto_docs/google/cloud/aiplatform/v1/study.rb', line 283 class SafetyMetricConfig include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end |
#safety_threshold ⇒ ::Float
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# File 'proto_docs/google/cloud/aiplatform/v1/study.rb', line 283 class SafetyMetricConfig include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end |