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public static final class StudySpec.StudyStoppingConfig.Builder extends GeneratedMessageV3.Builder<StudySpec.StudyStoppingConfig.Builder> implements StudySpec.StudyStoppingConfigOrBuilder
The configuration (stopping conditions) for automated stopping of a Study. Conditions include trial budgets, time budgets, and convergence detection.
Protobuf type google.cloud.aiplatform.v1.StudySpec.StudyStoppingConfig
Inheritance
Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > StudySpec.StudyStoppingConfig.BuilderImplements
StudySpec.StudyStoppingConfigOrBuilderStatic Methods
getDescriptor()
public static final Descriptors.Descriptor getDescriptor()
Returns | |
---|---|
Type | Description |
Descriptor |
Methods
addRepeatedField(Descriptors.FieldDescriptor field, Object value)
public StudySpec.StudyStoppingConfig.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
Parameters | |
---|---|
Name | Description |
field | FieldDescriptor |
value | Object |
Returns | |
---|---|
Type | Description |
StudySpec.StudyStoppingConfig.Builder |
build()
public StudySpec.StudyStoppingConfig build()
Returns | |
---|---|
Type | Description |
StudySpec.StudyStoppingConfig |
buildPartial()
public StudySpec.StudyStoppingConfig buildPartial()
Returns | |
---|---|
Type | Description |
StudySpec.StudyStoppingConfig |
clear()
public StudySpec.StudyStoppingConfig.Builder clear()
Returns | |
---|---|
Type | Description |
StudySpec.StudyStoppingConfig.Builder |
clearField(Descriptors.FieldDescriptor field)
public StudySpec.StudyStoppingConfig.Builder clearField(Descriptors.FieldDescriptor field)
Parameter | |
---|---|
Name | Description |
field | FieldDescriptor |
Returns | |
---|---|
Type | Description |
StudySpec.StudyStoppingConfig.Builder |
clearMaxDurationNoProgress()
public StudySpec.StudyStoppingConfig.Builder clearMaxDurationNoProgress()
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 | |
---|---|
Type | Description |
StudySpec.StudyStoppingConfig.Builder |
clearMaxNumTrials()
public StudySpec.StudyStoppingConfig.Builder clearMaxNumTrials()
If there are more than this many trials, stop the study.
.google.protobuf.Int32Value max_num_trials = 5;
Returns | |
---|---|
Type | Description |
StudySpec.StudyStoppingConfig.Builder |
clearMaxNumTrialsNoProgress()
public StudySpec.StudyStoppingConfig.Builder clearMaxNumTrialsNoProgress()
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 | |
---|---|
Type | Description |
StudySpec.StudyStoppingConfig.Builder |
clearMaximumRuntimeConstraint()
public StudySpec.StudyStoppingConfig.Builder clearMaximumRuntimeConstraint()
If the specified time or duration has passed, stop the study.
.google.cloud.aiplatform.v1.StudyTimeConstraint maximum_runtime_constraint = 3;
Returns | |
---|---|
Type | Description |
StudySpec.StudyStoppingConfig.Builder |
clearMinNumTrials()
public StudySpec.StudyStoppingConfig.Builder clearMinNumTrials()
If there are fewer than this many COMPLETED trials, do not stop the study.
.google.protobuf.Int32Value min_num_trials = 4;
Returns | |
---|---|
Type | Description |
StudySpec.StudyStoppingConfig.Builder |
clearMinimumRuntimeConstraint()
public StudySpec.StudyStoppingConfig.Builder clearMinimumRuntimeConstraint()
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 | |
---|---|
Type | Description |
StudySpec.StudyStoppingConfig.Builder |
clearOneof(Descriptors.OneofDescriptor oneof)
public StudySpec.StudyStoppingConfig.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Parameter | |
---|---|
Name | Description |
oneof | OneofDescriptor |
Returns | |
---|---|
Type | Description |
StudySpec.StudyStoppingConfig.Builder |
clearShouldStopAsap()
public StudySpec.StudyStoppingConfig.Builder clearShouldStopAsap()
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 | |
---|---|
Type | Description |
StudySpec.StudyStoppingConfig.Builder |
clone()
public StudySpec.StudyStoppingConfig.Builder clone()
Returns | |
---|---|
Type | Description |
StudySpec.StudyStoppingConfig.Builder |
getDefaultInstanceForType()
public StudySpec.StudyStoppingConfig getDefaultInstanceForType()
Returns | |
---|---|
Type | Description |
StudySpec.StudyStoppingConfig |
getDescriptorForType()
public Descriptors.Descriptor getDescriptorForType()
Returns | |
---|---|
Type | Description |
Descriptor |
getMaxDurationNoProgress()
public 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 | |
---|---|
Type | Description |
Duration | The maxDurationNoProgress. |
getMaxDurationNoProgressBuilder()
public Duration.Builder getMaxDurationNoProgressBuilder()
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 | |
---|---|
Type | Description |
Builder |
getMaxDurationNoProgressOrBuilder()
public 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 | |
---|---|
Type | Description |
DurationOrBuilder |
getMaxNumTrials()
public Int32Value getMaxNumTrials()
If there are more than this many trials, stop the study.
.google.protobuf.Int32Value max_num_trials = 5;
Returns | |
---|---|
Type | Description |
Int32Value | The maxNumTrials. |
getMaxNumTrialsBuilder()
public Int32Value.Builder getMaxNumTrialsBuilder()
If there are more than this many trials, stop the study.
.google.protobuf.Int32Value max_num_trials = 5;
Returns | |
---|---|
Type | Description |
Builder |
getMaxNumTrialsNoProgress()
public 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 | |
---|---|
Type | Description |
Int32Value | The maxNumTrialsNoProgress. |
getMaxNumTrialsNoProgressBuilder()
public Int32Value.Builder getMaxNumTrialsNoProgressBuilder()
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 | |
---|---|
Type | Description |
Builder |
getMaxNumTrialsNoProgressOrBuilder()
public 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 | |
---|---|
Type | Description |
Int32ValueOrBuilder |
getMaxNumTrialsOrBuilder()
public Int32ValueOrBuilder getMaxNumTrialsOrBuilder()
If there are more than this many trials, stop the study.
.google.protobuf.Int32Value max_num_trials = 5;
Returns | |
---|---|
Type | Description |
Int32ValueOrBuilder |
getMaximumRuntimeConstraint()
public StudyTimeConstraint getMaximumRuntimeConstraint()
If the specified time or duration has passed, stop the study.
.google.cloud.aiplatform.v1.StudyTimeConstraint maximum_runtime_constraint = 3;
Returns | |
---|---|
Type | Description |
StudyTimeConstraint | The maximumRuntimeConstraint. |
getMaximumRuntimeConstraintBuilder()
public StudyTimeConstraint.Builder getMaximumRuntimeConstraintBuilder()
If the specified time or duration has passed, stop the study.
.google.cloud.aiplatform.v1.StudyTimeConstraint maximum_runtime_constraint = 3;
Returns | |
---|---|
Type | Description |
StudyTimeConstraint.Builder |
getMaximumRuntimeConstraintOrBuilder()
public StudyTimeConstraintOrBuilder getMaximumRuntimeConstraintOrBuilder()
If the specified time or duration has passed, stop the study.
.google.cloud.aiplatform.v1.StudyTimeConstraint maximum_runtime_constraint = 3;
Returns | |
---|---|
Type | Description |
StudyTimeConstraintOrBuilder |
getMinNumTrials()
public Int32Value getMinNumTrials()
If there are fewer than this many COMPLETED trials, do not stop the study.
.google.protobuf.Int32Value min_num_trials = 4;
Returns | |
---|---|
Type | Description |
Int32Value | The minNumTrials. |
getMinNumTrialsBuilder()
public Int32Value.Builder getMinNumTrialsBuilder()
If there are fewer than this many COMPLETED trials, do not stop the study.
.google.protobuf.Int32Value min_num_trials = 4;
Returns | |
---|---|
Type | Description |
Builder |
getMinNumTrialsOrBuilder()
public Int32ValueOrBuilder getMinNumTrialsOrBuilder()
If there are fewer than this many COMPLETED trials, do not stop the study.
.google.protobuf.Int32Value min_num_trials = 4;
Returns | |
---|---|
Type | Description |
Int32ValueOrBuilder |
getMinimumRuntimeConstraint()
public 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 | |
---|---|
Type | Description |
StudyTimeConstraint | The minimumRuntimeConstraint. |
getMinimumRuntimeConstraintBuilder()
public StudyTimeConstraint.Builder getMinimumRuntimeConstraintBuilder()
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 | |
---|---|
Type | Description |
StudyTimeConstraint.Builder |
getMinimumRuntimeConstraintOrBuilder()
public 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 | |
---|---|
Type | Description |
StudyTimeConstraintOrBuilder |
getShouldStopAsap()
public 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 | |
---|---|
Type | Description |
BoolValue | The shouldStopAsap. |
getShouldStopAsapBuilder()
public BoolValue.Builder getShouldStopAsapBuilder()
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 | |
---|---|
Type | Description |
Builder |
getShouldStopAsapOrBuilder()
public 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 | |
---|---|
Type | Description |
BoolValueOrBuilder |
hasMaxDurationNoProgress()
public 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 | |
---|---|
Type | Description |
boolean | Whether the maxDurationNoProgress field is set. |
hasMaxNumTrials()
public boolean hasMaxNumTrials()
If there are more than this many trials, stop the study.
.google.protobuf.Int32Value max_num_trials = 5;
Returns | |
---|---|
Type | Description |
boolean | Whether the maxNumTrials field is set. |
hasMaxNumTrialsNoProgress()
public 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 | |
---|---|
Type | Description |
boolean | Whether the maxNumTrialsNoProgress field is set. |
hasMaximumRuntimeConstraint()
public boolean hasMaximumRuntimeConstraint()
If the specified time or duration has passed, stop the study.
.google.cloud.aiplatform.v1.StudyTimeConstraint maximum_runtime_constraint = 3;
Returns | |
---|---|
Type | Description |
boolean | Whether the maximumRuntimeConstraint field is set. |
hasMinNumTrials()
public boolean hasMinNumTrials()
If there are fewer than this many COMPLETED trials, do not stop the study.
.google.protobuf.Int32Value min_num_trials = 4;
Returns | |
---|---|
Type | Description |
boolean | Whether the minNumTrials field is set. |
hasMinimumRuntimeConstraint()
public 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 | |
---|---|
Type | Description |
boolean | Whether the minimumRuntimeConstraint field is set. |
hasShouldStopAsap()
public 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 | |
---|---|
Type | Description |
boolean | Whether the shouldStopAsap field is set. |
internalGetFieldAccessorTable()
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns | |
---|---|
Type | Description |
FieldAccessorTable |
isInitialized()
public final boolean isInitialized()
Returns | |
---|---|
Type | Description |
boolean |
mergeFrom(StudySpec.StudyStoppingConfig other)
public StudySpec.StudyStoppingConfig.Builder mergeFrom(StudySpec.StudyStoppingConfig other)
Parameter | |
---|---|
Name | Description |
other | StudySpec.StudyStoppingConfig |
Returns | |
---|---|
Type | Description |
StudySpec.StudyStoppingConfig.Builder |
mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
public StudySpec.StudyStoppingConfig.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters | |
---|---|
Name | Description |
input | CodedInputStream |
extensionRegistry | ExtensionRegistryLite |
Returns | |
---|---|
Type | Description |
StudySpec.StudyStoppingConfig.Builder |
Exceptions | |
---|---|
Type | Description |
IOException |
mergeFrom(Message other)
public StudySpec.StudyStoppingConfig.Builder mergeFrom(Message other)
Parameter | |
---|---|
Name | Description |
other | Message |
Returns | |
---|---|
Type | Description |
StudySpec.StudyStoppingConfig.Builder |
mergeMaxDurationNoProgress(Duration value)
public StudySpec.StudyStoppingConfig.Builder mergeMaxDurationNoProgress(Duration value)
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;
Parameter | |
---|---|
Name | Description |
value | Duration |
Returns | |
---|---|
Type | Description |
StudySpec.StudyStoppingConfig.Builder |
mergeMaxNumTrials(Int32Value value)
public StudySpec.StudyStoppingConfig.Builder mergeMaxNumTrials(Int32Value value)
If there are more than this many trials, stop the study.
.google.protobuf.Int32Value max_num_trials = 5;
Parameter | |
---|---|
Name | Description |
value | Int32Value |
Returns | |
---|---|
Type | Description |
StudySpec.StudyStoppingConfig.Builder |
mergeMaxNumTrialsNoProgress(Int32Value value)
public StudySpec.StudyStoppingConfig.Builder mergeMaxNumTrialsNoProgress(Int32Value value)
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;
Parameter | |
---|---|
Name | Description |
value | Int32Value |
Returns | |
---|---|
Type | Description |
StudySpec.StudyStoppingConfig.Builder |
mergeMaximumRuntimeConstraint(StudyTimeConstraint value)
public StudySpec.StudyStoppingConfig.Builder mergeMaximumRuntimeConstraint(StudyTimeConstraint value)
If the specified time or duration has passed, stop the study.
.google.cloud.aiplatform.v1.StudyTimeConstraint maximum_runtime_constraint = 3;
Parameter | |
---|---|
Name | Description |
value | StudyTimeConstraint |
Returns | |
---|---|
Type | Description |
StudySpec.StudyStoppingConfig.Builder |
mergeMinNumTrials(Int32Value value)
public StudySpec.StudyStoppingConfig.Builder mergeMinNumTrials(Int32Value value)
If there are fewer than this many COMPLETED trials, do not stop the study.
.google.protobuf.Int32Value min_num_trials = 4;
Parameter | |
---|---|
Name | Description |
value | Int32Value |
Returns | |
---|---|
Type | Description |
StudySpec.StudyStoppingConfig.Builder |
mergeMinimumRuntimeConstraint(StudyTimeConstraint value)
public StudySpec.StudyStoppingConfig.Builder mergeMinimumRuntimeConstraint(StudyTimeConstraint value)
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;
Parameter | |
---|---|
Name | Description |
value | StudyTimeConstraint |
Returns | |
---|---|
Type | Description |
StudySpec.StudyStoppingConfig.Builder |
mergeShouldStopAsap(BoolValue value)
public StudySpec.StudyStoppingConfig.Builder mergeShouldStopAsap(BoolValue value)
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;
Parameter | |
---|---|
Name | Description |
value | BoolValue |
Returns | |
---|---|
Type | Description |
StudySpec.StudyStoppingConfig.Builder |
mergeUnknownFields(UnknownFieldSet unknownFields)
public final StudySpec.StudyStoppingConfig.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Parameter | |
---|---|
Name | Description |
unknownFields | UnknownFieldSet |
Returns | |
---|---|
Type | Description |
StudySpec.StudyStoppingConfig.Builder |
setField(Descriptors.FieldDescriptor field, Object value)
public StudySpec.StudyStoppingConfig.Builder setField(Descriptors.FieldDescriptor field, Object value)
Parameters | |
---|---|
Name | Description |
field | FieldDescriptor |
value | Object |
Returns | |
---|---|
Type | Description |
StudySpec.StudyStoppingConfig.Builder |
setMaxDurationNoProgress(Duration value)
public StudySpec.StudyStoppingConfig.Builder setMaxDurationNoProgress(Duration value)
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;
Parameter | |
---|---|
Name | Description |
value | Duration |
Returns | |
---|---|
Type | Description |
StudySpec.StudyStoppingConfig.Builder |
setMaxDurationNoProgress(Duration.Builder builderForValue)
public StudySpec.StudyStoppingConfig.Builder setMaxDurationNoProgress(Duration.Builder builderForValue)
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;
Parameter | |
---|---|
Name | Description |
builderForValue | Builder |
Returns | |
---|---|
Type | Description |
StudySpec.StudyStoppingConfig.Builder |
setMaxNumTrials(Int32Value value)
public StudySpec.StudyStoppingConfig.Builder setMaxNumTrials(Int32Value value)
If there are more than this many trials, stop the study.
.google.protobuf.Int32Value max_num_trials = 5;
Parameter | |
---|---|
Name | Description |
value | Int32Value |
Returns | |
---|---|
Type | Description |
StudySpec.StudyStoppingConfig.Builder |
setMaxNumTrials(Int32Value.Builder builderForValue)
public StudySpec.StudyStoppingConfig.Builder setMaxNumTrials(Int32Value.Builder builderForValue)
If there are more than this many trials, stop the study.
.google.protobuf.Int32Value max_num_trials = 5;
Parameter | |
---|---|
Name | Description |
builderForValue | Builder |
Returns | |
---|---|
Type | Description |
StudySpec.StudyStoppingConfig.Builder |
setMaxNumTrialsNoProgress(Int32Value value)
public StudySpec.StudyStoppingConfig.Builder setMaxNumTrialsNoProgress(Int32Value value)
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;
Parameter | |
---|---|
Name | Description |
value | Int32Value |
Returns | |
---|---|
Type | Description |
StudySpec.StudyStoppingConfig.Builder |
setMaxNumTrialsNoProgress(Int32Value.Builder builderForValue)
public StudySpec.StudyStoppingConfig.Builder setMaxNumTrialsNoProgress(Int32Value.Builder builderForValue)
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;
Parameter | |
---|---|
Name | Description |
builderForValue | Builder |
Returns | |
---|---|
Type | Description |
StudySpec.StudyStoppingConfig.Builder |
setMaximumRuntimeConstraint(StudyTimeConstraint value)
public StudySpec.StudyStoppingConfig.Builder setMaximumRuntimeConstraint(StudyTimeConstraint value)
If the specified time or duration has passed, stop the study.
.google.cloud.aiplatform.v1.StudyTimeConstraint maximum_runtime_constraint = 3;
Parameter | |
---|---|
Name | Description |
value | StudyTimeConstraint |
Returns | |
---|---|
Type | Description |
StudySpec.StudyStoppingConfig.Builder |
setMaximumRuntimeConstraint(StudyTimeConstraint.Builder builderForValue)
public StudySpec.StudyStoppingConfig.Builder setMaximumRuntimeConstraint(StudyTimeConstraint.Builder builderForValue)
If the specified time or duration has passed, stop the study.
.google.cloud.aiplatform.v1.StudyTimeConstraint maximum_runtime_constraint = 3;
Parameter | |
---|---|
Name | Description |
builderForValue | StudyTimeConstraint.Builder |
Returns | |
---|---|
Type | Description |
StudySpec.StudyStoppingConfig.Builder |
setMinNumTrials(Int32Value value)
public StudySpec.StudyStoppingConfig.Builder setMinNumTrials(Int32Value value)
If there are fewer than this many COMPLETED trials, do not stop the study.
.google.protobuf.Int32Value min_num_trials = 4;
Parameter | |
---|---|
Name | Description |
value | Int32Value |
Returns | |
---|---|
Type | Description |
StudySpec.StudyStoppingConfig.Builder |
setMinNumTrials(Int32Value.Builder builderForValue)
public StudySpec.StudyStoppingConfig.Builder setMinNumTrials(Int32Value.Builder builderForValue)
If there are fewer than this many COMPLETED trials, do not stop the study.
.google.protobuf.Int32Value min_num_trials = 4;
Parameter | |
---|---|
Name | Description |
builderForValue | Builder |
Returns | |
---|---|
Type | Description |
StudySpec.StudyStoppingConfig.Builder |
setMinimumRuntimeConstraint(StudyTimeConstraint value)
public StudySpec.StudyStoppingConfig.Builder setMinimumRuntimeConstraint(StudyTimeConstraint value)
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;
Parameter | |
---|---|
Name | Description |
value | StudyTimeConstraint |
Returns | |
---|---|
Type | Description |
StudySpec.StudyStoppingConfig.Builder |
setMinimumRuntimeConstraint(StudyTimeConstraint.Builder builderForValue)
public StudySpec.StudyStoppingConfig.Builder setMinimumRuntimeConstraint(StudyTimeConstraint.Builder builderForValue)
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;
Parameter | |
---|---|
Name | Description |
builderForValue | StudyTimeConstraint.Builder |
Returns | |
---|---|
Type | Description |
StudySpec.StudyStoppingConfig.Builder |
setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
public StudySpec.StudyStoppingConfig.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
Parameters | |
---|---|
Name | Description |
field | FieldDescriptor |
index | int |
value | Object |
Returns | |
---|---|
Type | Description |
StudySpec.StudyStoppingConfig.Builder |
setShouldStopAsap(BoolValue value)
public StudySpec.StudyStoppingConfig.Builder setShouldStopAsap(BoolValue value)
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;
Parameter | |
---|---|
Name | Description |
value | BoolValue |
Returns | |
---|---|
Type | Description |
StudySpec.StudyStoppingConfig.Builder |
setShouldStopAsap(BoolValue.Builder builderForValue)
public StudySpec.StudyStoppingConfig.Builder setShouldStopAsap(BoolValue.Builder builderForValue)
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;
Parameter | |
---|---|
Name | Description |
builderForValue | Builder |
Returns | |
---|---|
Type | Description |
StudySpec.StudyStoppingConfig.Builder |
setUnknownFields(UnknownFieldSet unknownFields)
public final StudySpec.StudyStoppingConfig.Builder setUnknownFields(UnknownFieldSet unknownFields)
Parameter | |
---|---|
Name | Description |
unknownFields | UnknownFieldSet |
Returns | |
---|---|
Type | Description |
StudySpec.StudyStoppingConfig.Builder |