public static final class StudySpec.ConvexStopConfig extends GeneratedMessageV3 implements StudySpec.ConvexStopConfigOrBuilder
Configuration for ConvexStopPolicy.
Protobuf type google.cloud.aiplatform.v1beta1.StudySpec.ConvexStopConfig
Fields
public static final int AUTOREGRESSIVE_ORDER_FIELD_NUMBER
Field Value
public static final int LEARNING_RATE_PARAMETER_NAME_FIELD_NUMBER
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public static final int MAX_NUM_STEPS_FIELD_NUMBER
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public static final int MIN_NUM_STEPS_FIELD_NUMBER
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public static final int USE_SECONDS_FIELD_NUMBER
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public boolean equals(Object obj)
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public long getAutoregressiveOrder()
The number of Trial measurements used in autoregressive model for
value prediction. A trial won't be considered early stopping if has fewer
measurement points.
int64 autoregressive_order = 3;
| Type | Description |
| long | The autoregressiveOrder.
|
public static StudySpec.ConvexStopConfig getDefaultInstance()
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public StudySpec.ConvexStopConfig getDefaultInstanceForType()
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public static final Descriptors.Descriptor getDescriptor()
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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.
|
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.
|
public long getMaxNumSteps()
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. When use_steps is false, this field is set to the maximum elapsed
seconds.
int64 max_num_steps = 1;
| Type | Description |
| long | The maxNumSteps.
|
public long getMinNumSteps()
Minimum number of steps for a trial to complete. Trials which do not have
a measurement with num_steps > min_num_steps 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_num_steps is set to be one-tenth of the
max_num_steps.
When use_steps is false, this field is set to the minimum elapsed
seconds.
int64 min_num_steps = 2;
| Type | Description |
| long | The minNumSteps.
|
public Parser<StudySpec.ConvexStopConfig> getParserForType()
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public int getSerializedSize()
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public final UnknownFieldSet getUnknownFields()
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public boolean getUseSeconds()
This bool determines whether or not the rule is applied based on
elapsed_secs or steps. If use_seconds
false, the early stopping decision
is made according to the predicted objective values according to the
target steps. If use_seconds
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_seconds = 5;
| Type | Description |
| boolean | The useSeconds.
|
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protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
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public final boolean isInitialized()
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public static StudySpec.ConvexStopConfig.Builder newBuilder()
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public static StudySpec.ConvexStopConfig.Builder newBuilder(StudySpec.ConvexStopConfig prototype)
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public StudySpec.ConvexStopConfig.Builder newBuilderForType()
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protected StudySpec.ConvexStopConfig.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)
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protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
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public static StudySpec.ConvexStopConfig parseDelimitedFrom(InputStream input)
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public static StudySpec.ConvexStopConfig parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
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public static StudySpec.ConvexStopConfig parseFrom(byte[] data)
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| Name | Description |
| data | byte[]
|
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public static StudySpec.ConvexStopConfig parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
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public static StudySpec.ConvexStopConfig parseFrom(ByteString data)
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public static StudySpec.ConvexStopConfig parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
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public static StudySpec.ConvexStopConfig parseFrom(CodedInputStream input)
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public static StudySpec.ConvexStopConfig parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
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public static StudySpec.ConvexStopConfig parseFrom(InputStream input)
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public static StudySpec.ConvexStopConfig parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
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public static StudySpec.ConvexStopConfig parseFrom(ByteBuffer data)
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public static StudySpec.ConvexStopConfig parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
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public static Parser<StudySpec.ConvexStopConfig> parser()
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public StudySpec.ConvexStopConfig.Builder toBuilder()
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public void writeTo(CodedOutputStream output)
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