Interface StudySpec.StudyStoppingConfigOrBuilder (3.35.0)

public static interface StudySpec.StudyStoppingConfigOrBuilder extends MessageOrBuilder

Implements

MessageOrBuilder

Methods

getMaxDurationNoProgress()

public abstract Duration getMaxDurationNoProgress()

If the objective value has not improved for this much time, stop the study.

WARNING: Effective only for single-objective studies.

.google.protobuf.Duration max_duration_no_progress = 7;

Returns
TypeDescription
Duration

The maxDurationNoProgress.

getMaxDurationNoProgressOrBuilder()

public abstract DurationOrBuilder getMaxDurationNoProgressOrBuilder()

If the objective value has not improved for this much time, stop the study.

WARNING: Effective only for single-objective studies.

.google.protobuf.Duration max_duration_no_progress = 7;

Returns
TypeDescription
DurationOrBuilder

getMaxNumTrials()

public abstract Int32Value getMaxNumTrials()

If there are more than this many trials, stop the study.

.google.protobuf.Int32Value max_num_trials = 5;

Returns
TypeDescription
Int32Value

The maxNumTrials.

getMaxNumTrialsNoProgress()

public abstract Int32Value getMaxNumTrialsNoProgress()

If the objective value has not improved for this many consecutive trials, stop the study.

WARNING: Effective only for single-objective studies.

.google.protobuf.Int32Value max_num_trials_no_progress = 6;

Returns
TypeDescription
Int32Value

The maxNumTrialsNoProgress.

getMaxNumTrialsNoProgressOrBuilder()

public abstract Int32ValueOrBuilder getMaxNumTrialsNoProgressOrBuilder()

If the objective value has not improved for this many consecutive trials, stop the study.

WARNING: Effective only for single-objective studies.

.google.protobuf.Int32Value max_num_trials_no_progress = 6;

Returns
TypeDescription
Int32ValueOrBuilder

getMaxNumTrialsOrBuilder()

public abstract Int32ValueOrBuilder getMaxNumTrialsOrBuilder()

If there are more than this many trials, stop the study.

.google.protobuf.Int32Value max_num_trials = 5;

Returns
TypeDescription
Int32ValueOrBuilder

getMaximumRuntimeConstraint()

public abstract StudyTimeConstraint getMaximumRuntimeConstraint()

If the specified time or duration has passed, stop the study.

.google.cloud.aiplatform.v1.StudyTimeConstraint maximum_runtime_constraint = 3;

Returns
TypeDescription
StudyTimeConstraint

The maximumRuntimeConstraint.

getMaximumRuntimeConstraintOrBuilder()

public abstract StudyTimeConstraintOrBuilder getMaximumRuntimeConstraintOrBuilder()

If the specified time or duration has passed, stop the study.

.google.cloud.aiplatform.v1.StudyTimeConstraint maximum_runtime_constraint = 3;

Returns
TypeDescription
StudyTimeConstraintOrBuilder

getMinNumTrials()

public abstract Int32Value getMinNumTrials()

If there are fewer than this many COMPLETED trials, do not stop the study.

.google.protobuf.Int32Value min_num_trials = 4;

Returns
TypeDescription
Int32Value

The minNumTrials.

getMinNumTrialsOrBuilder()

public abstract Int32ValueOrBuilder getMinNumTrialsOrBuilder()

If there are fewer than this many COMPLETED trials, do not stop the study.

.google.protobuf.Int32Value min_num_trials = 4;

Returns
TypeDescription
Int32ValueOrBuilder

getMinimumRuntimeConstraint()

public abstract StudyTimeConstraint getMinimumRuntimeConstraint()

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.

.google.cloud.aiplatform.v1.StudyTimeConstraint minimum_runtime_constraint = 2;

Returns
TypeDescription
StudyTimeConstraint

The minimumRuntimeConstraint.

getMinimumRuntimeConstraintOrBuilder()

public abstract StudyTimeConstraintOrBuilder getMinimumRuntimeConstraintOrBuilder()

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.

.google.cloud.aiplatform.v1.StudyTimeConstraint minimum_runtime_constraint = 2;

Returns
TypeDescription
StudyTimeConstraintOrBuilder

getShouldStopAsap()

public abstract BoolValue getShouldStopAsap()

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).

.google.protobuf.BoolValue should_stop_asap = 1;

Returns
TypeDescription
BoolValue

The shouldStopAsap.

getShouldStopAsapOrBuilder()

public abstract BoolValueOrBuilder getShouldStopAsapOrBuilder()

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).

.google.protobuf.BoolValue should_stop_asap = 1;

Returns
TypeDescription
BoolValueOrBuilder

hasMaxDurationNoProgress()

public abstract boolean hasMaxDurationNoProgress()

If the objective value has not improved for this much time, stop the study.

WARNING: Effective only for single-objective studies.

.google.protobuf.Duration max_duration_no_progress = 7;

Returns
TypeDescription
boolean

Whether the maxDurationNoProgress field is set.

hasMaxNumTrials()

public abstract boolean hasMaxNumTrials()

If there are more than this many trials, stop the study.

.google.protobuf.Int32Value max_num_trials = 5;

Returns
TypeDescription
boolean

Whether the maxNumTrials field is set.

hasMaxNumTrialsNoProgress()

public abstract boolean hasMaxNumTrialsNoProgress()

If the objective value has not improved for this many consecutive trials, stop the study.

WARNING: Effective only for single-objective studies.

.google.protobuf.Int32Value max_num_trials_no_progress = 6;

Returns
TypeDescription
boolean

Whether the maxNumTrialsNoProgress field is set.

hasMaximumRuntimeConstraint()

public abstract boolean hasMaximumRuntimeConstraint()

If the specified time or duration has passed, stop the study.

.google.cloud.aiplatform.v1.StudyTimeConstraint maximum_runtime_constraint = 3;

Returns
TypeDescription
boolean

Whether the maximumRuntimeConstraint field is set.

hasMinNumTrials()

public abstract boolean hasMinNumTrials()

If there are fewer than this many COMPLETED trials, do not stop the study.

.google.protobuf.Int32Value min_num_trials = 4;

Returns
TypeDescription
boolean

Whether the minNumTrials field is set.

hasMinimumRuntimeConstraint()

public abstract boolean hasMinimumRuntimeConstraint()

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.

.google.cloud.aiplatform.v1.StudyTimeConstraint minimum_runtime_constraint = 2;

Returns
TypeDescription
boolean

Whether the minimumRuntimeConstraint field is set.

hasShouldStopAsap()

public abstract boolean hasShouldStopAsap()

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).

.google.protobuf.BoolValue should_stop_asap = 1;

Returns
TypeDescription
boolean

Whether the shouldStopAsap field is set.