Class StudySpec.MetricSpec.SafetyMetricConfig.Builder

    • Method Detail

      • getDescriptor

        public static final com.google.protobuf.Descriptors.Descriptor getDescriptor()
      • internalGetFieldAccessorTable

        protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
        Specified by:
        internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessageV3.Builder<StudySpec.MetricSpec.SafetyMetricConfig.Builder>
      • getDescriptorForType

        public com.google.protobuf.Descriptors.Descriptor getDescriptorForType()
        Specified by:
        getDescriptorForType in interface com.google.protobuf.Message.Builder
        Specified by:
        getDescriptorForType in interface com.google.protobuf.MessageOrBuilder
        Overrides:
        getDescriptorForType in class com.google.protobuf.GeneratedMessageV3.Builder<StudySpec.MetricSpec.SafetyMetricConfig.Builder>
      • getDefaultInstanceForType

        public StudySpec.MetricSpec.SafetyMetricConfig getDefaultInstanceForType()
        Specified by:
        getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuilder
        Specified by:
        getDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilder
      • build

        public StudySpec.MetricSpec.SafetyMetricConfig build()
        Specified by:
        build in interface com.google.protobuf.Message.Builder
        Specified by:
        build in interface com.google.protobuf.MessageLite.Builder
      • buildPartial

        public StudySpec.MetricSpec.SafetyMetricConfig buildPartial()
        Specified by:
        buildPartial in interface com.google.protobuf.Message.Builder
        Specified by:
        buildPartial in interface com.google.protobuf.MessageLite.Builder
      • isInitialized

        public final boolean isInitialized()
        Specified by:
        isInitialized in interface com.google.protobuf.MessageLiteOrBuilder
        Overrides:
        isInitialized in class com.google.protobuf.GeneratedMessageV3.Builder<StudySpec.MetricSpec.SafetyMetricConfig.Builder>
      • getSafetyThreshold

        public double getSafetyThreshold()
         Safety threshold (boundary value between safe and unsafe). NOTE that if
         you leave SafetyMetricConfig unset, a default value of 0 will be used.
         
        double safety_threshold = 1;
        Specified by:
        getSafetyThreshold in interface StudySpec.MetricSpec.SafetyMetricConfigOrBuilder
        Returns:
        The safetyThreshold.
      • setSafetyThreshold

        public StudySpec.MetricSpec.SafetyMetricConfig.Builder setSafetyThreshold​(double value)
         Safety threshold (boundary value between safe and unsafe). NOTE that if
         you leave SafetyMetricConfig unset, a default value of 0 will be used.
         
        double safety_threshold = 1;
        Parameters:
        value - The safetyThreshold to set.
        Returns:
        This builder for chaining.
      • clearSafetyThreshold

        public StudySpec.MetricSpec.SafetyMetricConfig.Builder clearSafetyThreshold()
         Safety threshold (boundary value between safe and unsafe). NOTE that if
         you leave SafetyMetricConfig unset, a default value of 0 will be used.
         
        double safety_threshold = 1;
        Returns:
        This builder for chaining.
      • hasDesiredMinSafeTrialsFraction

        public boolean hasDesiredMinSafeTrialsFraction()
         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). This should be between 0.0 and 1.0 and a value of
         0.0 means that there is no minimum and an algorithm proceeds without
         targeting any specific fraction. A value of 1.0 means that the
         algorithm attempts to only Suggest safe Trials.
         
        optional double desired_min_safe_trials_fraction = 2;
        Specified by:
        hasDesiredMinSafeTrialsFraction in interface StudySpec.MetricSpec.SafetyMetricConfigOrBuilder
        Returns:
        Whether the desiredMinSafeTrialsFraction field is set.
      • getDesiredMinSafeTrialsFraction

        public double getDesiredMinSafeTrialsFraction()
         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). This should be between 0.0 and 1.0 and a value of
         0.0 means that there is no minimum and an algorithm proceeds without
         targeting any specific fraction. A value of 1.0 means that the
         algorithm attempts to only Suggest safe Trials.
         
        optional double desired_min_safe_trials_fraction = 2;
        Specified by:
        getDesiredMinSafeTrialsFraction in interface StudySpec.MetricSpec.SafetyMetricConfigOrBuilder
        Returns:
        The desiredMinSafeTrialsFraction.
      • setDesiredMinSafeTrialsFraction

        public StudySpec.MetricSpec.SafetyMetricConfig.Builder setDesiredMinSafeTrialsFraction​(double value)
         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). This should be between 0.0 and 1.0 and a value of
         0.0 means that there is no minimum and an algorithm proceeds without
         targeting any specific fraction. A value of 1.0 means that the
         algorithm attempts to only Suggest safe Trials.
         
        optional double desired_min_safe_trials_fraction = 2;
        Parameters:
        value - The desiredMinSafeTrialsFraction to set.
        Returns:
        This builder for chaining.
      • clearDesiredMinSafeTrialsFraction

        public StudySpec.MetricSpec.SafetyMetricConfig.Builder clearDesiredMinSafeTrialsFraction()
         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). This should be between 0.0 and 1.0 and a value of
         0.0 means that there is no minimum and an algorithm proceeds without
         targeting any specific fraction. A value of 1.0 means that the
         algorithm attempts to only Suggest safe Trials.
         
        optional double desired_min_safe_trials_fraction = 2;
        Returns:
        This builder for chaining.