Class AutoMlImageSegmentationMetadata.Builder (3.88.0)

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public static final class AutoMlImageSegmentationMetadata.Builder extends GeneratedMessage.Builder<AutoMlImageSegmentationMetadata.Builder> implements AutoMlImageSegmentationMetadataOrBuilder

Protobuf type google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationMetadata

Inheritance

java.lang.Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessage.Builder > AutoMlImageSegmentationMetadata.Builder

Implements

AutoMlImageSegmentationMetadataOrBuilder

Inherited Members

AbstractMessage.Builder.findInitializationErrors()

AbstractMessage.Builder.getInitializationErrorString()

AbstractMessage.Builder.internalMergeFrom(AbstractMessageLite)

AbstractMessage.Builder.mergeFrom(byte[])

AbstractMessage.Builder.mergeFrom(byte[],ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(byte[],int,int)

AbstractMessage.Builder.mergeFrom(byte[],int,int,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(ByteString)

AbstractMessage.Builder.mergeFrom(ByteString,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(CodedInputStream)

AbstractMessage.Builder.mergeFrom(CodedInputStream,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(Message)

AbstractMessage.Builder.mergeFrom(InputStream)

AbstractMessage.Builder.mergeFrom(InputStream,ExtensionRegistryLite)

AbstractMessage.Builder.newUninitializedMessageException(Message)

AbstractMessage.Builder.toString()

AbstractMessageLite.Builder.<T>addAll(Iterable<T>,Collection<? super T>)

AbstractMessageLite.Builder.<T>addAll(Iterable<T>,List<? super T>)

AbstractMessageLite.Builder.internalMergeFrom(MessageType)

AbstractMessageLite.Builder.mergeDelimitedFrom(InputStream)

AbstractMessageLite.Builder.mergeDelimitedFrom(InputStream,ExtensionRegistryLite)

AbstractMessageLite.Builder.mergeFrom(MessageLite)

AbstractMessageLite.Builder.newUninitializedMessageException(MessageLite)

GeneratedMessage.Builder.addRepeatedField(Descriptors.FieldDescriptor,Object)

GeneratedMessage.Builder.clear()

GeneratedMessage.Builder.clearField(Descriptors.FieldDescriptor)

GeneratedMessage.Builder.clearOneof(Descriptors.OneofDescriptor)

GeneratedMessage.Builder.clone()

GeneratedMessage.Builder.getAllFields()

GeneratedMessage.Builder.getDescriptorForType()

GeneratedMessage.Builder.getField(Descriptors.FieldDescriptor)

GeneratedMessage.Builder.getFieldBuilder(Descriptors.FieldDescriptor)

GeneratedMessage.Builder.getOneofFieldDescriptor(Descriptors.OneofDescriptor)

GeneratedMessage.Builder.getParentForChildren()

GeneratedMessage.Builder.getRepeatedField(Descriptors.FieldDescriptor,int)

GeneratedMessage.Builder.getRepeatedFieldBuilder(Descriptors.FieldDescriptor,int)

GeneratedMessage.Builder.getRepeatedFieldCount(Descriptors.FieldDescriptor)

com.google.protobuf.GeneratedMessage.Builder.getUnknownFieldSetBuilder()

GeneratedMessage.Builder.getUnknownFields()

GeneratedMessage.Builder.hasField(Descriptors.FieldDescriptor)

GeneratedMessage.Builder.hasOneof(Descriptors.OneofDescriptor)

GeneratedMessage.Builder.internalGetFieldAccessorTable()

GeneratedMessage.Builder.internalGetMapField(int)

com.google.protobuf.GeneratedMessage.Builder.internalGetMapFieldReflection(int)

GeneratedMessage.Builder.internalGetMutableMapField(int)

com.google.protobuf.GeneratedMessage.Builder.internalGetMutableMapFieldReflection(int)

GeneratedMessage.Builder.isClean()

GeneratedMessage.Builder.isInitialized()

GeneratedMessage.Builder.markClean()

GeneratedMessage.Builder.mergeUnknownFields(UnknownFieldSet)

com.google.protobuf.GeneratedMessage.Builder.mergeUnknownLengthDelimitedField(int,com.google.protobuf.ByteString)

com.google.protobuf.GeneratedMessage.Builder.mergeUnknownVarintField(int,int)

GeneratedMessage.Builder.newBuilderForField(Descriptors.FieldDescriptor)

GeneratedMessage.Builder.onBuilt()

GeneratedMessage.Builder.onChanged()

com.google.protobuf.GeneratedMessage.Builder.parseUnknownField(com.google.protobuf.CodedInputStream,com.google.protobuf.ExtensionRegistryLite,int)

GeneratedMessage.Builder.setField(Descriptors.FieldDescriptor,Object)

GeneratedMessage.Builder.setRepeatedField(Descriptors.FieldDescriptor,int,Object)

com.google.protobuf.GeneratedMessage.Builder.setUnknownFieldSetBuilder(com.google.protobuf.UnknownFieldSet.Builder)

GeneratedMessage.Builder.setUnknownFields(UnknownFieldSet)

com.google.protobuf.GeneratedMessage.Builder.setUnknownFieldsProto3(com.google.protobuf.UnknownFieldSet)

Object.equals(Object)

Object.finalize()

Object.getClass()

Object.hashCode()

Object.notify()

Object.notifyAll()

Object.wait()

Object.wait(long)

Object.wait(long,int)

Static Methods

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()

Returns
Type	Description
Descriptor

Methods

build()

public AutoMlImageSegmentationMetadata build()

Returns
Type	Description
AutoMlImageSegmentationMetadata

buildPartial()

public AutoMlImageSegmentationMetadata buildPartial()

Returns
Type	Description
AutoMlImageSegmentationMetadata

clear()

public AutoMlImageSegmentationMetadata.Builder clear()

Returns
Type	Description
AutoMlImageSegmentationMetadata.Builder

Overrides

GeneratedMessage.Builder<BuilderType>.clear()

clearCostMilliNodeHours()

public AutoMlImageSegmentationMetadata.Builder clearCostMilliNodeHours()

The actual training cost of creating this model, expressed in milli node hours, i.e. 1,000 value in this field means 1 node hour. Guaranteed to not exceed inputs.budgetMilliNodeHours.

int64 cost_milli_node_hours = 1;

Returns
Type	Description
AutoMlImageSegmentationMetadata.Builder	This builder for chaining.

clearSuccessfulStopReason()

public AutoMlImageSegmentationMetadata.Builder clearSuccessfulStopReason()

For successful job completions, this is the reason why the job has finished.

.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationMetadata.SuccessfulStopReason successful_stop_reason = 2;

Returns
Type	Description
AutoMlImageSegmentationMetadata.Builder	This builder for chaining.

getCostMilliNodeHours()

public long getCostMilliNodeHours()

The actual training cost of creating this model, expressed in milli node hours, i.e. 1,000 value in this field means 1 node hour. Guaranteed to not exceed inputs.budgetMilliNodeHours.

int64 cost_milli_node_hours = 1;

Returns
Type	Description
long	The costMilliNodeHours.

getDefaultInstanceForType()

public AutoMlImageSegmentationMetadata getDefaultInstanceForType()

Returns
Type	Description
AutoMlImageSegmentationMetadata

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()

Returns
Type	Description
Descriptor

Overrides

GeneratedMessage.Builder<BuilderType>.getDescriptorForType()

getSuccessfulStopReason()

public AutoMlImageSegmentationMetadata.SuccessfulStopReason getSuccessfulStopReason()

For successful job completions, this is the reason why the job has finished.

.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationMetadata.SuccessfulStopReason successful_stop_reason = 2;

Returns
Type	Description
AutoMlImageSegmentationMetadata.SuccessfulStopReason	The successfulStopReason.

getSuccessfulStopReasonValue()

public int getSuccessfulStopReasonValue()

For successful job completions, this is the reason why the job has finished.

.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationMetadata.SuccessfulStopReason successful_stop_reason = 2;

Returns
Type	Description
int	The enum numeric value on the wire for successfulStopReason.

internalGetFieldAccessorTable()

protected GeneratedMessage.FieldAccessorTable internalGetFieldAccessorTable()

Returns
Type	Description
FieldAccessorTable

Overrides

GeneratedMessage.Builder<BuilderType>.internalGetFieldAccessorTable()

isInitialized()

public final boolean isInitialized()

Returns
Type	Description
boolean

Overrides

GeneratedMessage.Builder<BuilderType>.isInitialized()

mergeFrom(AutoMlImageSegmentationMetadata other)

public AutoMlImageSegmentationMetadata.Builder mergeFrom(AutoMlImageSegmentationMetadata other)

Parameter
Name	Description
other	AutoMlImageSegmentationMetadata

Returns
Type	Description
AutoMlImageSegmentationMetadata.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public AutoMlImageSegmentationMetadata.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

Parameters
Name	Description
input	CodedInputStream
extensionRegistry	ExtensionRegistryLite

Returns
Type	Description
AutoMlImageSegmentationMetadata.Builder

Overrides

AbstractMessage.Builder<BuilderType>.mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

Exceptions
Type	Description
IOException

mergeFrom(Message other)

public AutoMlImageSegmentationMetadata.Builder mergeFrom(Message other)

Parameter
Name	Description
other	Message

Returns
Type	Description
AutoMlImageSegmentationMetadata.Builder

Overrides

AbstractMessage.Builder<BuilderType>.mergeFrom(Message other)

setCostMilliNodeHours(long value)

public AutoMlImageSegmentationMetadata.Builder setCostMilliNodeHours(long value)

The actual training cost of creating this model, expressed in milli node hours, i.e. 1,000 value in this field means 1 node hour. Guaranteed to not exceed inputs.budgetMilliNodeHours.

int64 cost_milli_node_hours = 1;

Parameter
Name	Description
value	long The costMilliNodeHours to set.

Returns
Type	Description
AutoMlImageSegmentationMetadata.Builder	This builder for chaining.

setSuccessfulStopReason(AutoMlImageSegmentationMetadata.SuccessfulStopReason value)

public AutoMlImageSegmentationMetadata.Builder setSuccessfulStopReason(AutoMlImageSegmentationMetadata.SuccessfulStopReason value)

For successful job completions, this is the reason why the job has finished.

.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationMetadata.SuccessfulStopReason successful_stop_reason = 2;

Parameter
Name	Description
value	AutoMlImageSegmentationMetadata.SuccessfulStopReason The successfulStopReason to set.

Returns
Type	Description
AutoMlImageSegmentationMetadata.Builder	This builder for chaining.

setSuccessfulStopReasonValue(int value)

public AutoMlImageSegmentationMetadata.Builder setSuccessfulStopReasonValue(int value)

For successful job completions, this is the reason why the job has finished.

.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationMetadata.SuccessfulStopReason successful_stop_reason = 2;

Parameter
Name	Description
value	int The enum numeric value on the wire for successfulStopReason to set.

Returns
Type	Description
AutoMlImageSegmentationMetadata.Builder	This builder for chaining.