Reference documentation and code samples for the Google Cloud Ai Platform V1 Client class SafetyMetricConfig.
Used in safe optimization to specify threshold levels and risk tolerance.
Generated from protobuf message google.cloud.aiplatform.v1.StudySpec.MetricSpec.SafetyMetricConfig
Namespace
Google \ Cloud \ AIPlatform \ V1 \ StudySpec \ MetricSpecMethods
__construct
Constructor.
Parameters | |
---|---|
Name | Description |
data |
array
Optional. Data for populating the Message object. |
↳ safety_threshold |
float
Safety threshold (boundary value between safe and unsafe). NOTE that if you leave SafetyMetricConfig unset, a default value of 0 will be used. |
↳ 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). 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. |
getSafetyThreshold
Safety threshold (boundary value between safe and unsafe). NOTE that if you leave SafetyMetricConfig unset, a default value of 0 will be used.
Returns | |
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Type | Description |
float |
setSafetyThreshold
Safety threshold (boundary value between safe and unsafe). NOTE that if you leave SafetyMetricConfig unset, a default value of 0 will be used.
Parameter | |
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Name | Description |
var |
float
|
Returns | |
---|---|
Type | Description |
$this |
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.
Returns | |
---|---|
Type | Description |
float |
hasDesiredMinSafeTrialsFraction
clearDesiredMinSafeTrialsFraction
setDesiredMinSafeTrialsFraction
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.
Parameter | |
---|---|
Name | Description |
var |
float
|
Returns | |
---|---|
Type | Description |
$this |