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public enum AutoMlImageSegmentationInputs.ModelType extends Enum<AutoMlImageSegmentationInputs.ModelType> implements ProtocolMessageEnum
Protobuf enum
google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlImageSegmentationInputs.ModelType
Implements
ProtocolMessageEnumStatic Fields |
|
---|---|
Name | Description |
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_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_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_VALUE |
A model to be used via prediction calls to uCAIP API. Expected to have a lower latency but relatively lower prediction quality. |
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_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. |
MODEL_TYPE_UNSPECIFIED |
Should not be set. |
MODEL_TYPE_UNSPECIFIED_VALUE |
Should not be set. |
UNRECOGNIZED |
Static Methods |
|
---|---|
Name | Description |
forNumber(int value) |
|
getDescriptor() |
|
internalGetValueMap() |
|
valueOf(Descriptors.EnumValueDescriptor desc) |
|
valueOf(int value) |
Deprecated. Use #forNumber(int) instead. |
valueOf(String name) |
|
values() |
Methods |
|
---|---|
Name | Description |
getDescriptorForType() |
|
getNumber() |
|
getValueDescriptor() |