public static final class StudySpec.ConvexStopConfig extends GeneratedMessageV3 implements StudySpec.ConvexStopConfigOrBuilder
Configuration for ConvexStopPolicy.
Protobuf type google.cloud.aiplatform.v1beta1.StudySpec.ConvexStopConfig
Inherited Members
com.google.protobuf.GeneratedMessageV3.<ListT>makeMutableCopy(ListT)
com.google.protobuf.GeneratedMessageV3.<ListT>makeMutableCopy(ListT,int)
com.google.protobuf.GeneratedMessageV3.<T>emptyList(java.lang.Class<T>)
com.google.protobuf.GeneratedMessageV3.internalGetMapFieldReflection(int)
Static Fields
public static final int AUTOREGRESSIVE_ORDER_FIELD_NUMBER
| Field Value |
|---|
| Type | Description |
int | |
public static final int LEARNING_RATE_PARAMETER_NAME_FIELD_NUMBER
| Field Value |
|---|
| Type | Description |
int | |
public static final int MAX_NUM_STEPS_FIELD_NUMBER
| Field Value |
|---|
| Type | Description |
int | |
public static final int MIN_NUM_STEPS_FIELD_NUMBER
| Field Value |
|---|
| Type | Description |
int | |
public static final int USE_SECONDS_FIELD_NUMBER
| Field Value |
|---|
| Type | Description |
int | |
Static Methods
public static StudySpec.ConvexStopConfig getDefaultInstance()
public static final Descriptors.Descriptor getDescriptor()
public static StudySpec.ConvexStopConfig.Builder newBuilder()
public static StudySpec.ConvexStopConfig.Builder newBuilder(StudySpec.ConvexStopConfig prototype)
public static StudySpec.ConvexStopConfig parseDelimitedFrom(InputStream input)
public static StudySpec.ConvexStopConfig parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
public static StudySpec.ConvexStopConfig parseFrom(byte[] data)
| Parameter |
|---|
| Name | Description |
data | byte[]
|
public static StudySpec.ConvexStopConfig parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
public static StudySpec.ConvexStopConfig parseFrom(ByteString data)
public static StudySpec.ConvexStopConfig parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
public static StudySpec.ConvexStopConfig parseFrom(CodedInputStream input)
public static StudySpec.ConvexStopConfig parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
public static StudySpec.ConvexStopConfig parseFrom(InputStream input)
public static StudySpec.ConvexStopConfig parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
public static StudySpec.ConvexStopConfig parseFrom(ByteBuffer data)
public static StudySpec.ConvexStopConfig parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
public static Parser<StudySpec.ConvexStopConfig> parser()
Methods
public boolean equals(Object obj)
| Parameter |
|---|
| Name | Description |
obj | Object
|
Overrides
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;
| Returns |
|---|
| Type | Description |
long | The autoregressiveOrder.
|
public StudySpec.ConvexStopConfig getDefaultInstanceForType()
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;
| Returns |
|---|
| 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;
| Returns |
|---|
| 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;
| Returns |
|---|
| 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;
| Returns |
|---|
| Type | Description |
long | The minNumSteps.
|
public Parser<StudySpec.ConvexStopConfig> getParserForType()
Overrides
public int getSerializedSize()
| Returns |
|---|
| Type | Description |
int | |
Overrides
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;
| Returns |
|---|
| Type | Description |
boolean | The useSeconds.
|
| Returns |
|---|
| Type | Description |
int | |
Overrides
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Overrides
public final boolean isInitialized()
Overrides
public StudySpec.ConvexStopConfig.Builder newBuilderForType()
protected StudySpec.ConvexStopConfig.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)
Overrides
protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
Overrides
public StudySpec.ConvexStopConfig.Builder toBuilder()
public void writeTo(CodedOutputStream output)
Overrides
