Enum AutoMlImageObjectDetectionInputs.ModelType (2.8.9)

Version 2.8.9

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

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

Implements

ProtocolMessageEnum

Inherited Members

Enum.<T>valueOf(Class<T>,String)

Enum.clone()

Enum.compareTo(E)

Enum.equals(Object)

Enum.finalize()

Enum.getDeclaringClass()

Enum.hashCode()

Enum.name()

Enum.ordinal()

Enum.toString()

Object.getClass()

Object.notify()

Object.notifyAll()

Object.wait()

Object.wait(long)

Object.wait(long,int)

Static Fields

Name	Description
CLOUD_HIGH_ACCURACY_1	A model best tailored to be used within Google Cloud, and which cannot be exported. Expected to have a higher latency, but should also have a higher prediction quality than other cloud models. CLOUD_HIGH_ACCURACY_1 = 1;
CLOUD_HIGH_ACCURACY_1_VALUE	A model best tailored to be used within Google Cloud, and which cannot be exported. Expected to have a higher latency, but should also have a higher prediction quality than other cloud models. CLOUD_HIGH_ACCURACY_1 = 1;
CLOUD_LOW_LATENCY_1	A model best tailored to be used within Google Cloud, and which cannot be exported. Expected to have a low latency, but may have lower prediction quality than other cloud models. CLOUD_LOW_LATENCY_1 = 2;
CLOUD_LOW_LATENCY_1_VALUE	A model best tailored to be used within Google Cloud, and which cannot be exported. Expected to have a low latency, but may have lower prediction quality than other cloud models. CLOUD_LOW_LATENCY_1 = 2;
MOBILE_TF_HIGH_ACCURACY_1	A model that, in addition to being available within Google Cloud, can also be exported (see ModelService.ExportModel) and used on a mobile or edge device with TensorFlow afterwards. Expected to have a higher latency, but should also have a higher prediction quality than other mobile models. MOBILE_TF_HIGH_ACCURACY_1 = 5;
MOBILE_TF_HIGH_ACCURACY_1_VALUE	A model that, in addition to being available within Google Cloud, can also be exported (see ModelService.ExportModel) and used on a mobile or edge device with TensorFlow afterwards. Expected to have a higher latency, but should also have a higher prediction quality than other mobile models. MOBILE_TF_HIGH_ACCURACY_1 = 5;
MOBILE_TF_LOW_LATENCY_1	A model that, in addition to being available within Google Cloud can also be exported (see ModelService.ExportModel) and used on a mobile or edge device with TensorFlow 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) and used on a mobile or edge device with TensorFlow afterwards. Expected to have low latency, but may have lower prediction quality than other mobile models. MOBILE_TF_LOW_LATENCY_1 = 3;
MOBILE_TF_VERSATILE_1	A model that, in addition to being available within Google Cloud can also be exported (see ModelService.ExportModel) and used on a mobile or edge device with TensorFlow afterwards. MOBILE_TF_VERSATILE_1 = 4;
MOBILE_TF_VERSATILE_1_VALUE	A model that, in addition to being available within Google Cloud can also be exported (see ModelService.ExportModel) and used on a mobile or edge device with TensorFlow afterwards. MOBILE_TF_VERSATILE_1 = 4;
MODEL_TYPE_UNSPECIFIED	Should not be set. MODEL_TYPE_UNSPECIFIED = 0;
MODEL_TYPE_UNSPECIFIED_VALUE	Should not be set. MODEL_TYPE_UNSPECIFIED = 0;
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()