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public static final class AutoMlImageSegmentationMetadata.Builder extends GeneratedMessageV3.Builder<AutoMlImageSegmentationMetadata.Builder> implements AutoMlImageSegmentationMetadataOrBuilder
Protobuf type
google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlImageSegmentationMetadata
Inheritance
Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > AutoMlImageSegmentationMetadata.BuilderImplements
AutoMlImageSegmentationMetadataOrBuilderStatic Methods
getDescriptor()
public static final Descriptors.Descriptor getDescriptor()
Type | Description |
Descriptor |
Methods
addRepeatedField(Descriptors.FieldDescriptor field, Object value)
public AutoMlImageSegmentationMetadata.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
Name | Description |
field | FieldDescriptor |
value | Object |
Type | Description |
AutoMlImageSegmentationMetadata.Builder |
build()
public AutoMlImageSegmentationMetadata build()
Type | Description |
AutoMlImageSegmentationMetadata |
buildPartial()
public AutoMlImageSegmentationMetadata buildPartial()
Type | Description |
AutoMlImageSegmentationMetadata |
clear()
public AutoMlImageSegmentationMetadata.Builder clear()
Type | Description |
AutoMlImageSegmentationMetadata.Builder |
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;
Type | Description |
AutoMlImageSegmentationMetadata.Builder | This builder for chaining. |
clearField(Descriptors.FieldDescriptor field)
public AutoMlImageSegmentationMetadata.Builder clearField(Descriptors.FieldDescriptor field)
Name | Description |
field | FieldDescriptor |
Type | Description |
AutoMlImageSegmentationMetadata.Builder |
clearOneof(Descriptors.OneofDescriptor oneof)
public AutoMlImageSegmentationMetadata.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Name | Description |
oneof | OneofDescriptor |
Type | Description |
AutoMlImageSegmentationMetadata.Builder |
clearSuccessfulStopReason()
public AutoMlImageSegmentationMetadata.Builder clearSuccessfulStopReason()
For successful job completions, this is the reason why the job has finished.
.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlImageSegmentationMetadata.SuccessfulStopReason successful_stop_reason = 2;
Type | Description |
AutoMlImageSegmentationMetadata.Builder | This builder for chaining. |
clone()
public AutoMlImageSegmentationMetadata.Builder clone()
Type | Description |
AutoMlImageSegmentationMetadata.Builder |
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;
Type | Description |
long | The costMilliNodeHours. |
getDefaultInstanceForType()
public AutoMlImageSegmentationMetadata getDefaultInstanceForType()
Type | Description |
AutoMlImageSegmentationMetadata |
getDescriptorForType()
public Descriptors.Descriptor getDescriptorForType()
Type | Description |
Descriptor |
getSuccessfulStopReason()
public AutoMlImageSegmentationMetadata.SuccessfulStopReason getSuccessfulStopReason()
For successful job completions, this is the reason why the job has finished.
.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlImageSegmentationMetadata.SuccessfulStopReason successful_stop_reason = 2;
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.v1beta1.schema.trainingjob.definition.AutoMlImageSegmentationMetadata.SuccessfulStopReason successful_stop_reason = 2;
Type | Description |
int | The enum numeric value on the wire for successfulStopReason. |
internalGetFieldAccessorTable()
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Type | Description |
FieldAccessorTable |
isInitialized()
public final boolean isInitialized()
Type | Description |
boolean |
mergeFrom(AutoMlImageSegmentationMetadata other)
public AutoMlImageSegmentationMetadata.Builder mergeFrom(AutoMlImageSegmentationMetadata other)
Name | Description |
other | AutoMlImageSegmentationMetadata |
Type | Description |
AutoMlImageSegmentationMetadata.Builder |
mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
public AutoMlImageSegmentationMetadata.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Name | Description |
input | CodedInputStream |
extensionRegistry | ExtensionRegistryLite |
Type | Description |
AutoMlImageSegmentationMetadata.Builder |
Type | Description |
IOException |
mergeFrom(Message other)
public AutoMlImageSegmentationMetadata.Builder mergeFrom(Message other)
Name | Description |
other | Message |
Type | Description |
AutoMlImageSegmentationMetadata.Builder |
mergeUnknownFields(UnknownFieldSet unknownFields)
public final AutoMlImageSegmentationMetadata.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Name | Description |
unknownFields | UnknownFieldSet |
Type | Description |
AutoMlImageSegmentationMetadata.Builder |
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;
Name | Description |
value | long The costMilliNodeHours to set. |
Type | Description |
AutoMlImageSegmentationMetadata.Builder | This builder for chaining. |
setField(Descriptors.FieldDescriptor field, Object value)
public AutoMlImageSegmentationMetadata.Builder setField(Descriptors.FieldDescriptor field, Object value)
Name | Description |
field | FieldDescriptor |
value | Object |
Type | Description |
AutoMlImageSegmentationMetadata.Builder |
setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
public AutoMlImageSegmentationMetadata.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
Name | Description |
field | FieldDescriptor |
index | int |
value | Object |
Type | Description |
AutoMlImageSegmentationMetadata.Builder |
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.v1beta1.schema.trainingjob.definition.AutoMlImageSegmentationMetadata.SuccessfulStopReason successful_stop_reason = 2;
Name | Description |
value | AutoMlImageSegmentationMetadata.SuccessfulStopReason The successfulStopReason to set. |
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.v1beta1.schema.trainingjob.definition.AutoMlImageSegmentationMetadata.SuccessfulStopReason successful_stop_reason = 2;
Name | Description |
value | int The enum numeric value on the wire for successfulStopReason to set. |
Type | Description |
AutoMlImageSegmentationMetadata.Builder | This builder for chaining. |
setUnknownFields(UnknownFieldSet unknownFields)
public final AutoMlImageSegmentationMetadata.Builder setUnknownFields(UnknownFieldSet unknownFields)
Name | Description |
unknownFields | UnknownFieldSet |
Type | Description |
AutoMlImageSegmentationMetadata.Builder |