public static final class AutoMlImageSegmentationMetadata.Builder extends GeneratedMessageV3.Builder<AutoMlImageSegmentationMetadata.Builder> implements AutoMlImageSegmentationMetadataOrBuilder
Protobuf type
google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationMetadata
Static Methods
public static final Descriptors.Descriptor getDescriptor()
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Methods
public AutoMlImageSegmentationMetadata.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
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public AutoMlImageSegmentationMetadata build()
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public AutoMlImageSegmentationMetadata buildPartial()
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public AutoMlImageSegmentationMetadata.Builder clear()
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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;
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public AutoMlImageSegmentationMetadata.Builder clearField(Descriptors.FieldDescriptor field)
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public AutoMlImageSegmentationMetadata.Builder clearOneof(Descriptors.OneofDescriptor oneof)
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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;
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public AutoMlImageSegmentationMetadata.Builder clone()
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Overrides
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.
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public AutoMlImageSegmentationMetadata getDefaultInstanceForType()
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public Descriptors.Descriptor getDescriptorForType()
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Overrides
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
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;
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Type | Description |
int | The enum numeric value on the wire for successfulStopReason.
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protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
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public final boolean isInitialized()
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public AutoMlImageSegmentationMetadata.Builder mergeFrom(AutoMlImageSegmentationMetadata other)
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public AutoMlImageSegmentationMetadata.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
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Exceptions
public AutoMlImageSegmentationMetadata.Builder mergeFrom(Message other)
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public final AutoMlImageSegmentationMetadata.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
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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.
|
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public AutoMlImageSegmentationMetadata.Builder setField(Descriptors.FieldDescriptor field, Object value)
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public AutoMlImageSegmentationMetadata.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
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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
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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.
|
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public final AutoMlImageSegmentationMetadata.Builder setUnknownFields(UnknownFieldSet unknownFields)
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