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public static final class StudySpec.ConvexStopConfig extends GeneratedMessageV3 implements StudySpec.ConvexStopConfigOrBuilder
Configuration for ConvexStopPolicy.
Protobuf type google.cloud.aiplatform.v1beta1.StudySpec.ConvexStopConfig
Inheritance
Object > AbstractMessageLite<MessageType,BuilderType> > AbstractMessage > GeneratedMessageV3 > StudySpec.ConvexStopConfigImplements
StudySpec.ConvexStopConfigOrBuilderStatic Fields
AUTOREGRESSIVE_ORDER_FIELD_NUMBER
public static final int AUTOREGRESSIVE_ORDER_FIELD_NUMBER
Type | Description |
int |
LEARNING_RATE_PARAMETER_NAME_FIELD_NUMBER
public static final int LEARNING_RATE_PARAMETER_NAME_FIELD_NUMBER
Type | Description |
int |
MAX_NUM_STEPS_FIELD_NUMBER
public static final int MAX_NUM_STEPS_FIELD_NUMBER
Type | Description |
int |
MIN_NUM_STEPS_FIELD_NUMBER
public static final int MIN_NUM_STEPS_FIELD_NUMBER
Type | Description |
int |
USE_SECONDS_FIELD_NUMBER
public static final int USE_SECONDS_FIELD_NUMBER
Type | Description |
int |
Static Methods
getDefaultInstance()
public static StudySpec.ConvexStopConfig getDefaultInstance()
Type | Description |
StudySpec.ConvexStopConfig |
getDescriptor()
public static final Descriptors.Descriptor getDescriptor()
Type | Description |
Descriptor |
newBuilder()
public static StudySpec.ConvexStopConfig.Builder newBuilder()
Type | Description |
StudySpec.ConvexStopConfig.Builder |
newBuilder(StudySpec.ConvexStopConfig prototype)
public static StudySpec.ConvexStopConfig.Builder newBuilder(StudySpec.ConvexStopConfig prototype)
Name | Description |
prototype | StudySpec.ConvexStopConfig |
Type | Description |
StudySpec.ConvexStopConfig.Builder |
parseDelimitedFrom(InputStream input)
public static StudySpec.ConvexStopConfig parseDelimitedFrom(InputStream input)
Name | Description |
input | InputStream |
Type | Description |
StudySpec.ConvexStopConfig |
Type | Description |
IOException |
parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
public static StudySpec.ConvexStopConfig parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Name | Description |
input | InputStream |
extensionRegistry | ExtensionRegistryLite |
Type | Description |
StudySpec.ConvexStopConfig |
Type | Description |
IOException |
parseFrom(byte[] data)
public static StudySpec.ConvexStopConfig parseFrom(byte[] data)
Name | Description |
data | byte[] |
Type | Description |
StudySpec.ConvexStopConfig |
Type | Description |
InvalidProtocolBufferException |
parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
public static StudySpec.ConvexStopConfig parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
Name | Description |
data | byte[] |
extensionRegistry | ExtensionRegistryLite |
Type | Description |
StudySpec.ConvexStopConfig |
Type | Description |
InvalidProtocolBufferException |
parseFrom(ByteString data)
public static StudySpec.ConvexStopConfig parseFrom(ByteString data)
Name | Description |
data | ByteString |
Type | Description |
StudySpec.ConvexStopConfig |
Type | Description |
InvalidProtocolBufferException |
parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
public static StudySpec.ConvexStopConfig parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
Name | Description |
data | ByteString |
extensionRegistry | ExtensionRegistryLite |
Type | Description |
StudySpec.ConvexStopConfig |
Type | Description |
InvalidProtocolBufferException |
parseFrom(CodedInputStream input)
public static StudySpec.ConvexStopConfig parseFrom(CodedInputStream input)
Name | Description |
input | CodedInputStream |
Type | Description |
StudySpec.ConvexStopConfig |
Type | Description |
IOException |
parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
public static StudySpec.ConvexStopConfig parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Name | Description |
input | CodedInputStream |
extensionRegistry | ExtensionRegistryLite |
Type | Description |
StudySpec.ConvexStopConfig |
Type | Description |
IOException |
parseFrom(InputStream input)
public static StudySpec.ConvexStopConfig parseFrom(InputStream input)
Name | Description |
input | InputStream |
Type | Description |
StudySpec.ConvexStopConfig |
Type | Description |
IOException |
parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
public static StudySpec.ConvexStopConfig parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Name | Description |
input | InputStream |
extensionRegistry | ExtensionRegistryLite |
Type | Description |
StudySpec.ConvexStopConfig |
Type | Description |
IOException |
parseFrom(ByteBuffer data)
public static StudySpec.ConvexStopConfig parseFrom(ByteBuffer data)
Name | Description |
data | ByteBuffer |
Type | Description |
StudySpec.ConvexStopConfig |
Type | Description |
InvalidProtocolBufferException |
parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
public static StudySpec.ConvexStopConfig parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
Name | Description |
data | ByteBuffer |
extensionRegistry | ExtensionRegistryLite |
Type | Description |
StudySpec.ConvexStopConfig |
Type | Description |
InvalidProtocolBufferException |
parser()
public static Parser<StudySpec.ConvexStopConfig> parser()
Type | Description |
Parser<ConvexStopConfig> |
Methods
equals(Object obj)
public boolean equals(Object obj)
Name | Description |
obj | Object |
Type | Description |
boolean |
getAutoregressiveOrder()
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. |
getDefaultInstanceForType()
public StudySpec.ConvexStopConfig getDefaultInstanceForType()
Type | Description |
StudySpec.ConvexStopConfig |
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. |
getMaxNumSteps()
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. |
getMinNumSteps()
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. |
getParserForType()
public Parser<StudySpec.ConvexStopConfig> getParserForType()
Type | Description |
Parser<ConvexStopConfig> |
getSerializedSize()
public int getSerializedSize()
Type | Description |
int |
getUnknownFields()
public final UnknownFieldSet getUnknownFields()
Type | Description |
UnknownFieldSet |
getUseSeconds()
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. |
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.ConvexStopConfig.Builder newBuilderForType()
Type | Description |
StudySpec.ConvexStopConfig.Builder |
newBuilderForType(GeneratedMessageV3.BuilderParent parent)
protected StudySpec.ConvexStopConfig.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)
Name | Description |
parent | BuilderParent |
Type | Description |
StudySpec.ConvexStopConfig.Builder |
newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
Name | Description |
unused | UnusedPrivateParameter |
Type | Description |
Object |
toBuilder()
public StudySpec.ConvexStopConfig.Builder toBuilder()
Type | Description |
StudySpec.ConvexStopConfig.Builder |
writeTo(CodedOutputStream output)
public void writeTo(CodedOutputStream output)
Name | Description |
output | CodedOutputStream |
Type | Description |
IOException |