Class AutoMlImageClassificationMetadata.Builder (3.88.0)

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public static final class AutoMlImageClassificationMetadata.Builder extends GeneratedMessage.Builder<AutoMlImageClassificationMetadata.Builder> implements AutoMlImageClassificationMetadataOrBuilder

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

Inheritance

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

Implements

AutoMlImageClassificationMetadataOrBuilder

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 AutoMlImageClassificationMetadata build()

Returns
Type	Description
AutoMlImageClassificationMetadata

buildPartial()

public AutoMlImageClassificationMetadata buildPartial()

Returns
Type	Description
AutoMlImageClassificationMetadata

clear()

public AutoMlImageClassificationMetadata.Builder clear()

Returns
Type	Description
AutoMlImageClassificationMetadata.Builder

Overrides

GeneratedMessage.Builder<BuilderType>.clear()

clearCostMilliNodeHours()

public AutoMlImageClassificationMetadata.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
AutoMlImageClassificationMetadata.Builder	This builder for chaining.

clearSuccessfulStopReason()

public AutoMlImageClassificationMetadata.Builder clearSuccessfulStopReason()

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

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

Returns
Type	Description
AutoMlImageClassificationMetadata.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 AutoMlImageClassificationMetadata getDefaultInstanceForType()

Returns
Type	Description
AutoMlImageClassificationMetadata

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()

Returns
Type	Description
Descriptor

Overrides

GeneratedMessage.Builder<BuilderType>.getDescriptorForType()

getSuccessfulStopReason()

public AutoMlImageClassificationMetadata.SuccessfulStopReason getSuccessfulStopReason()

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

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

Returns
Type	Description
AutoMlImageClassificationMetadata.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.AutoMlImageClassificationMetadata.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(AutoMlImageClassificationMetadata other)

public AutoMlImageClassificationMetadata.Builder mergeFrom(AutoMlImageClassificationMetadata other)

Parameter
Name	Description
other	AutoMlImageClassificationMetadata

Returns
Type	Description
AutoMlImageClassificationMetadata.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

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

Parameters
Name	Description
input	CodedInputStream
extensionRegistry	ExtensionRegistryLite

Returns
Type	Description
AutoMlImageClassificationMetadata.Builder

Overrides

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

Exceptions
Type	Description
IOException

mergeFrom(Message other)

public AutoMlImageClassificationMetadata.Builder mergeFrom(Message other)

Parameter
Name	Description
other	Message

Returns
Type	Description
AutoMlImageClassificationMetadata.Builder

Overrides

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

setCostMilliNodeHours(long value)

public AutoMlImageClassificationMetadata.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
AutoMlImageClassificationMetadata.Builder	This builder for chaining.

setSuccessfulStopReason(AutoMlImageClassificationMetadata.SuccessfulStopReason value)

public AutoMlImageClassificationMetadata.Builder setSuccessfulStopReason(AutoMlImageClassificationMetadata.SuccessfulStopReason value)

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

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

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

Returns
Type	Description
AutoMlImageClassificationMetadata.Builder	This builder for chaining.

setSuccessfulStopReasonValue(int value)

public AutoMlImageClassificationMetadata.Builder setSuccessfulStopReasonValue(int value)

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

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

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

Returns
Type	Description
AutoMlImageClassificationMetadata.Builder	This builder for chaining.