Enum AutoMlImageSegmentationInputs.ModelType (2.4.0)

public enum AutoMlImageSegmentationInputs.ModelType extends Enum<AutoMlImageSegmentationInputs.ModelType> implements ProtocolMessageEnum

Protobuf enum google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationInputs.ModelType

Implements

ProtocolMessageEnum

Fields

NameDescription
CLOUD_HIGH_ACCURACY_1

A model to be used via prediction calls to uCAIP API. Expected to have a higher latency, but should also have a higher prediction quality than other models.

CLOUD_HIGH_ACCURACY_1 = 1;

CLOUD_HIGH_ACCURACY_1_VALUE

A model to be used via prediction calls to uCAIP API. Expected to have a higher latency, but should also have a higher prediction quality than other models.

CLOUD_HIGH_ACCURACY_1 = 1;

CLOUD_LOW_ACCURACY_1

A model to be used via prediction calls to uCAIP API. Expected to have a lower latency but relatively lower prediction quality.

CLOUD_LOW_ACCURACY_1 = 2;

CLOUD_LOW_ACCURACY_1_VALUE

A model to be used via prediction calls to uCAIP API. Expected to have a lower latency but relatively lower prediction quality.

CLOUD_LOW_ACCURACY_1 = 2;

MOBILE_TF_LOW_LATENCY_1

A model that, in addition to being available within Google Cloud, can also be exported (see ModelService.ExportModel) as TensorFlow model and used on a mobile or edge device afterwards. Expected to have low latency, but may have lower prediction quality than other mobile models.

MOBILE_TF_LOW_LATENCY_1 = 3;

MOBILE_TF_LOW_LATENCY_1_VALUE

A model that, in addition to being available within Google Cloud, can also be exported (see ModelService.ExportModel) as TensorFlow model and used on a mobile or edge device afterwards. Expected to have low latency, but may have lower prediction quality than other mobile models.

MOBILE_TF_LOW_LATENCY_1 = 3;

MODEL_TYPE_UNSPECIFIED

Should not be set.

MODEL_TYPE_UNSPECIFIED = 0;

MODEL_TYPE_UNSPECIFIED_VALUE

Should not be set.

MODEL_TYPE_UNSPECIFIED = 0;

UNRECOGNIZED

Methods

NameDescription
forNumber(int value)
getDescriptor()
getDescriptorForType()
getNumber()
getValueDescriptor()
internalGetValueMap()
valueOf(Descriptors.EnumValueDescriptor desc)
valueOf(int value)

(deprecated) Use #forNumber(int) instead.

valueOf(String name)
values()