Class GoogleCloudAiplatformV1beta1StudySpecStudyStoppingConfig
The configuration (stopping conditions) for automated stopping of a Study. Conditions include trial budgets, time budgets, and convergence detection.
Implements
Inherited Members
Namespace: Google.Apis.Aiplatform.v1beta1.Data
Assembly: Google.Apis.Aiplatform.v1beta1.dll
Syntax
public class GoogleCloudAiplatformV1beta1StudySpecStudyStoppingConfig : IDirectResponseSchema
Properties
ETag
The ETag of the item.
Declaration
public virtual string ETag { get; set; }
Property Value
Type | Description |
---|---|
string |
MaxDurationNoProgress
If the objective value has not improved for this much time, stop the study. WARNING: Effective only for single-objective studies.
Declaration
[JsonProperty("maxDurationNoProgress")]
public virtual object MaxDurationNoProgress { get; set; }
Property Value
Type | Description |
---|---|
object |
MaxNumTrials
If there are more than this many trials, stop the study.
Declaration
[JsonProperty("maxNumTrials")]
public virtual int? MaxNumTrials { get; set; }
Property Value
Type | Description |
---|---|
int? |
MaxNumTrialsNoProgress
If the objective value has not improved for this many consecutive trials, stop the study. WARNING: Effective only for single-objective studies.
Declaration
[JsonProperty("maxNumTrialsNoProgress")]
public virtual int? MaxNumTrialsNoProgress { get; set; }
Property Value
Type | Description |
---|---|
int? |
MaximumRuntimeConstraint
If the specified time or duration has passed, stop the study.
Declaration
[JsonProperty("maximumRuntimeConstraint")]
public virtual GoogleCloudAiplatformV1beta1StudyTimeConstraint MaximumRuntimeConstraint { get; set; }
Property Value
Type | Description |
---|---|
GoogleCloudAiplatformV1beta1StudyTimeConstraint |
MinNumTrials
If there are fewer than this many COMPLETED trials, do not stop the study.
Declaration
[JsonProperty("minNumTrials")]
public virtual int? MinNumTrials { get; set; }
Property Value
Type | Description |
---|---|
int? |
MinimumRuntimeConstraint
Each "stopping rule" in this proto specifies an "if" condition. Before Vizier would generate a new
suggestion, it first checks each specified stopping rule, from top to bottom in this list. Note that the
first few rules (e.g. minimum_runtime_constraint, min_num_trials) will prevent other stopping rules from
being evaluated until they are met. For example, setting min_num_trials=5
and always_stop_after= 1 hour
means that the Study will ONLY stop after it has 5 COMPLETED trials, even if more than an hour has passed
since its creation. It follows the first applicable rule (whose "if" condition is satisfied) to make a
stopping decision. If none of the specified rules are applicable, then Vizier decides that the study should
not stop. If Vizier decides that the study should stop, the study enters STOPPING state (or STOPPING_ASAP if
should_stop_asap = true). IMPORTANT: The automatic study state transition happens precisely as described
above; that is, deleting trials or updating StudyConfig NEVER automatically moves the study state back to
ACTIVE. If you want to resume a Study that was stopped, 1) change the stopping conditions if necessary, 2)
activate the study, and then 3) ask for suggestions. If the specified time or duration has not passed, do
not stop the study.
Declaration
[JsonProperty("minimumRuntimeConstraint")]
public virtual GoogleCloudAiplatformV1beta1StudyTimeConstraint MinimumRuntimeConstraint { get; set; }
Property Value
Type | Description |
---|---|
GoogleCloudAiplatformV1beta1StudyTimeConstraint |
ShouldStopAsap
If true, a Study enters STOPPING_ASAP whenever it would normally enters STOPPING state. The bottom line is: set to true if you want to interrupt on-going evaluations of Trials as soon as the study stopping condition is met. (Please see Study.State documentation for the source of truth).
Declaration
[JsonProperty("shouldStopAsap")]
public virtual bool? ShouldStopAsap { get; set; }
Property Value
Type | Description |
---|---|
bool? |