- 3.55.0 (latest)
- 3.54.0
- 3.53.0
- 3.52.0
- 3.50.0
- 3.49.0
- 3.48.0
- 3.47.0
- 3.46.0
- 3.45.0
- 3.44.0
- 3.43.0
- 3.42.0
- 3.41.0
- 3.40.0
- 3.38.0
- 3.37.0
- 3.36.0
- 3.35.0
- 3.34.0
- 3.33.0
- 3.32.0
- 3.31.0
- 3.30.0
- 3.29.0
- 3.28.0
- 3.25.0
- 3.24.0
- 3.23.0
- 3.22.0
- 3.21.0
- 3.20.0
- 3.19.0
- 3.18.0
- 3.17.0
- 3.16.0
- 3.15.0
- 3.14.0
- 3.13.0
- 3.12.0
- 3.11.0
- 3.10.0
- 3.9.0
- 3.8.0
- 3.7.0
- 3.6.0
- 3.5.0
- 3.4.2
- 3.3.0
- 3.2.0
- 3.0.0
- 2.9.8
- 2.8.9
- 2.7.4
- 2.5.3
- 2.4.0
public static final class StudySpec.ConvexAutomatedStoppingSpec extends GeneratedMessageV3 implements StudySpec.ConvexAutomatedStoppingSpecOrBuilder
Configuration for ConvexAutomatedStoppingSpec. When there are enough completed trials (configured by min_measurement_count), for pending trials with enough measurements and steps, the policy first computes an overestimate of the objective value at max_num_steps according to the slope of the incomplete objective value curve. No prediction can be made if the curve is completely flat. If the overestimation is worse than the best objective value of the completed trials, this pending trial will be early-stopped, but a last measurement will be added to the pending trial with max_num_steps and predicted objective value from the autoregression model.
Protobuf type google.cloud.aiplatform.v1beta1.StudySpec.ConvexAutomatedStoppingSpec
Inheritance
Object > AbstractMessageLite<MessageType,BuilderType> > AbstractMessage > GeneratedMessageV3 > StudySpec.ConvexAutomatedStoppingSpecStatic Fields
LEARNING_RATE_PARAMETER_NAME_FIELD_NUMBER
public static final int LEARNING_RATE_PARAMETER_NAME_FIELD_NUMBER
Type | Description |
int |
MAX_STEP_COUNT_FIELD_NUMBER
public static final int MAX_STEP_COUNT_FIELD_NUMBER
Type | Description |
int |
MIN_MEASUREMENT_COUNT_FIELD_NUMBER
public static final int MIN_MEASUREMENT_COUNT_FIELD_NUMBER
Type | Description |
int |
MIN_STEP_COUNT_FIELD_NUMBER
public static final int MIN_STEP_COUNT_FIELD_NUMBER
Type | Description |
int |
USE_ELAPSED_DURATION_FIELD_NUMBER
public static final int USE_ELAPSED_DURATION_FIELD_NUMBER
Type | Description |
int |
Static Methods
getDefaultInstance()
public static StudySpec.ConvexAutomatedStoppingSpec getDefaultInstance()
Type | Description |
StudySpec.ConvexAutomatedStoppingSpec |
getDescriptor()
public static final Descriptors.Descriptor getDescriptor()
Type | Description |
Descriptor |
newBuilder()
public static StudySpec.ConvexAutomatedStoppingSpec.Builder newBuilder()
Type | Description |
StudySpec.ConvexAutomatedStoppingSpec.Builder |
newBuilder(StudySpec.ConvexAutomatedStoppingSpec prototype)
public static StudySpec.ConvexAutomatedStoppingSpec.Builder newBuilder(StudySpec.ConvexAutomatedStoppingSpec prototype)
Name | Description |
prototype | StudySpec.ConvexAutomatedStoppingSpec |
Type | Description |
StudySpec.ConvexAutomatedStoppingSpec.Builder |
parseDelimitedFrom(InputStream input)
public static StudySpec.ConvexAutomatedStoppingSpec parseDelimitedFrom(InputStream input)
Name | Description |
input | InputStream |
Type | Description |
StudySpec.ConvexAutomatedStoppingSpec |
Type | Description |
IOException |
parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
public static StudySpec.ConvexAutomatedStoppingSpec parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Name | Description |
input | InputStream |
extensionRegistry | ExtensionRegistryLite |
Type | Description |
StudySpec.ConvexAutomatedStoppingSpec |
Type | Description |
IOException |
parseFrom(byte[] data)
public static StudySpec.ConvexAutomatedStoppingSpec parseFrom(byte[] data)
Name | Description |
data | byte[] |
Type | Description |
StudySpec.ConvexAutomatedStoppingSpec |
Type | Description |
InvalidProtocolBufferException |
parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
public static StudySpec.ConvexAutomatedStoppingSpec parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
Name | Description |
data | byte[] |
extensionRegistry | ExtensionRegistryLite |
Type | Description |
StudySpec.ConvexAutomatedStoppingSpec |
Type | Description |
InvalidProtocolBufferException |
parseFrom(ByteString data)
public static StudySpec.ConvexAutomatedStoppingSpec parseFrom(ByteString data)
Name | Description |
data | ByteString |
Type | Description |
StudySpec.ConvexAutomatedStoppingSpec |
Type | Description |
InvalidProtocolBufferException |
parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
public static StudySpec.ConvexAutomatedStoppingSpec parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
Name | Description |
data | ByteString |
extensionRegistry | ExtensionRegistryLite |
Type | Description |
StudySpec.ConvexAutomatedStoppingSpec |
Type | Description |
InvalidProtocolBufferException |
parseFrom(CodedInputStream input)
public static StudySpec.ConvexAutomatedStoppingSpec parseFrom(CodedInputStream input)
Name | Description |
input | CodedInputStream |
Type | Description |
StudySpec.ConvexAutomatedStoppingSpec |
Type | Description |
IOException |
parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
public static StudySpec.ConvexAutomatedStoppingSpec parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Name | Description |
input | CodedInputStream |
extensionRegistry | ExtensionRegistryLite |
Type | Description |
StudySpec.ConvexAutomatedStoppingSpec |
Type | Description |
IOException |
parseFrom(InputStream input)
public static StudySpec.ConvexAutomatedStoppingSpec parseFrom(InputStream input)
Name | Description |
input | InputStream |
Type | Description |
StudySpec.ConvexAutomatedStoppingSpec |
Type | Description |
IOException |
parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
public static StudySpec.ConvexAutomatedStoppingSpec parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Name | Description |
input | InputStream |
extensionRegistry | ExtensionRegistryLite |
Type | Description |
StudySpec.ConvexAutomatedStoppingSpec |
Type | Description |
IOException |
parseFrom(ByteBuffer data)
public static StudySpec.ConvexAutomatedStoppingSpec parseFrom(ByteBuffer data)
Name | Description |
data | ByteBuffer |
Type | Description |
StudySpec.ConvexAutomatedStoppingSpec |
Type | Description |
InvalidProtocolBufferException |
parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
public static StudySpec.ConvexAutomatedStoppingSpec parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
Name | Description |
data | ByteBuffer |
extensionRegistry | ExtensionRegistryLite |
Type | Description |
StudySpec.ConvexAutomatedStoppingSpec |
Type | Description |
InvalidProtocolBufferException |
parser()
public static Parser<StudySpec.ConvexAutomatedStoppingSpec> parser()
Type | Description |
Parser<ConvexAutomatedStoppingSpec> |
Methods
equals(Object obj)
public boolean equals(Object obj)
Name | Description |
obj | Object |
Type | Description |
boolean |
getDefaultInstanceForType()
public StudySpec.ConvexAutomatedStoppingSpec getDefaultInstanceForType()
Type | Description |
StudySpec.ConvexAutomatedStoppingSpec |
getLearningRateParameterName()
public String getLearningRateParameterName()
The hyper-parameter name used in the tuning job that stands for learning rate. Leave it blank if learning rate is not in a parameter in tuning. The learning_rate is used to estimate the objective value of the ongoing trial.
string learning_rate_parameter_name = 4;
Type | Description |
String | The learningRateParameterName. |
getLearningRateParameterNameBytes()
public ByteString getLearningRateParameterNameBytes()
The hyper-parameter name used in the tuning job that stands for learning rate. Leave it blank if learning rate is not in a parameter in tuning. The learning_rate is used to estimate the objective value of the ongoing trial.
string learning_rate_parameter_name = 4;
Type | Description |
ByteString | The bytes for learningRateParameterName. |
getMaxStepCount()
public long getMaxStepCount()
Steps used in predicting the final objective for early stopped trials. In general, it's set to be the same as the defined steps in training / tuning. If not defined, it will learn it from the completed trials. When use_steps is false, this field is set to the maximum elapsed seconds.
int64 max_step_count = 1;
Type | Description |
long | The maxStepCount. |
getMinMeasurementCount()
public long getMinMeasurementCount()
The minimal number of measurements in a Trial. Early-stopping checks will not trigger if less than min_measurement_count+1 completed trials or pending trials with less than min_measurement_count measurements. If not defined, the default value is 5.
int64 min_measurement_count = 3;
Type | Description |
long | The minMeasurementCount. |
getMinStepCount()
public long getMinStepCount()
Minimum number of steps for a trial to complete. Trials which do not have a measurement with step_count > min_step_count won't be considered for early stopping. It's ok to set it to 0, and a trial can be early stopped at any stage. By default, min_step_count is set to be one-tenth of the max_step_count. When use_elapsed_duration is true, this field is set to the minimum elapsed seconds.
int64 min_step_count = 2;
Type | Description |
long | The minStepCount. |
getParserForType()
public Parser<StudySpec.ConvexAutomatedStoppingSpec> getParserForType()
Type | Description |
Parser<ConvexAutomatedStoppingSpec> |
getSerializedSize()
public int getSerializedSize()
Type | Description |
int |
getUnknownFields()
public final UnknownFieldSet getUnknownFields()
Type | Description |
UnknownFieldSet |
getUseElapsedDuration()
public boolean getUseElapsedDuration()
This bool determines whether or not the rule is applied based on elapsed_secs or steps. If use_elapsed_duration
false, the early stopping decision is made according to the predicted objective values according to the target steps. If use_elapsed_duration
true, elapsed_secs is used instead of steps. Also, in this case, the parameters max_num_steps and min_num_steps are overloaded to contain max_elapsed_seconds and min_elapsed_seconds. bool use_elapsed_duration = 5;
Type | Description |
boolean | The useElapsedDuration. |
hashCode()
public int hashCode()
Type | Description |
int |
internalGetFieldAccessorTable()
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Type | Description |
FieldAccessorTable |
isInitialized()
public final boolean isInitialized()
Type | Description |
boolean |
newBuilderForType()
public StudySpec.ConvexAutomatedStoppingSpec.Builder newBuilderForType()
Type | Description |
StudySpec.ConvexAutomatedStoppingSpec.Builder |
newBuilderForType(GeneratedMessageV3.BuilderParent parent)
protected StudySpec.ConvexAutomatedStoppingSpec.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)
Name | Description |
parent | BuilderParent |
Type | Description |
StudySpec.ConvexAutomatedStoppingSpec.Builder |
newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
Name | Description |
unused | UnusedPrivateParameter |
Type | Description |
Object |
toBuilder()
public StudySpec.ConvexAutomatedStoppingSpec.Builder toBuilder()
Type | Description |
StudySpec.ConvexAutomatedStoppingSpec.Builder |
writeTo(CodedOutputStream output)
public void writeTo(CodedOutputStream output)
Name | Description |
output | CodedOutputStream |
Type | Description |
IOException |