Package com.google.cloud.aiplatform.v1.schema.trainingjob.definition

Enum AutoMlImageClassificationInputs.ModelType

java.lang.Object
java.lang.Enum<AutoMlImageClassificationInputs.ModelType>
com.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationInputs.ModelType
All Implemented Interfaces:
com.google.protobuf.Internal.EnumLite, com.google.protobuf.ProtocolMessageEnum, Serializable, Comparable<AutoMlImageClassificationInputs.ModelType>
Enclosing class:
AutoMlImageClassificationInputs
public static enum AutoMlImageClassificationInputs.ModelType extends Enum<AutoMlImageClassificationInputs.ModelType> implements com.google.protobuf.ProtocolMessageEnum
Protobuf enum google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageClassificationInputs.ModelType

  • Enum Constant Details

    • MODEL_TYPE_UNSPECIFIED

      public static final AutoMlImageClassificationInputs.ModelType MODEL_TYPE_UNSPECIFIED
       Should not be set.
      MODEL_TYPE_UNSPECIFIED = 0;

    • CLOUD

      public static final AutoMlImageClassificationInputs.ModelType CLOUD
       A Model best tailored to be used within Google Cloud, and which cannot
 be exported.
 Default.
      CLOUD = 1;

    • MOBILE_TF_LOW_LATENCY_1

      public static final AutoMlImageClassificationInputs.ModelType 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
 or Core ML 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 = 2;

    • MOBILE_TF_VERSATILE_1

      public static final AutoMlImageClassificationInputs.ModelType MOBILE_TF_VERSATILE_1
       A model that, in addition to being available within Google
 Cloud, can also be exported (see ModelService.ExportModel) as TensorFlow
 or Core ML model and used on a mobile or edge device with afterwards.
      MOBILE_TF_VERSATILE_1 = 3;

    • MOBILE_TF_HIGH_ACCURACY_1

      public static final AutoMlImageClassificationInputs.ModelType MOBILE_TF_HIGH_ACCURACY_1
       A model that, in addition to being available within Google
 Cloud, can also be exported (see ModelService.ExportModel) as TensorFlow
 or Core ML model and used on a mobile or edge device afterwards.
 Expected to have a higher latency, but should also have a higher
 prediction quality than other mobile models.
      MOBILE_TF_HIGH_ACCURACY_1 = 4;

    • UNRECOGNIZED

      public static final AutoMlImageClassificationInputs.ModelType UNRECOGNIZED

  • Field Details

    • MODEL_TYPE_UNSPECIFIED_VALUE

      public static final int MODEL_TYPE_UNSPECIFIED_VALUE
       Should not be set.
      MODEL_TYPE_UNSPECIFIED = 0;
      See Also:

    • CLOUD_VALUE

      public static final int CLOUD_VALUE
       A Model best tailored to be used within Google Cloud, and which cannot
 be exported.
 Default.
      CLOUD = 1;
      See Also:

    • MOBILE_TF_LOW_LATENCY_1_VALUE

      public static final int 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
 or Core ML 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 = 2;
      See Also:

    • MOBILE_TF_VERSATILE_1_VALUE

      public static final int MOBILE_TF_VERSATILE_1_VALUE
       A model that, in addition to being available within Google
 Cloud, can also be exported (see ModelService.ExportModel) as TensorFlow
 or Core ML model and used on a mobile or edge device with afterwards.
      MOBILE_TF_VERSATILE_1 = 3;
      See Also:

    • MOBILE_TF_HIGH_ACCURACY_1_VALUE

      public static final int MOBILE_TF_HIGH_ACCURACY_1_VALUE
       A model that, in addition to being available within Google
 Cloud, can also be exported (see ModelService.ExportModel) as TensorFlow
 or Core ML model and used on a mobile or edge device afterwards.
 Expected to have a higher latency, but should also have a higher
 prediction quality than other mobile models.
      MOBILE_TF_HIGH_ACCURACY_1 = 4;
      See Also:

  • Method Details

    • values

      public static AutoMlImageClassificationInputs.ModelType[] values()
      Returns an array containing the constants of this enum type, in the order they are declared.
      Returns:
      an array containing the constants of this enum type, in the order they are declared

    • valueOf

      public static AutoMlImageClassificationInputs.ModelType valueOf(String name)
      Returns the enum constant of this type with the specified name. The string must match exactly an identifier used to declare an enum constant in this type. (Extraneous whitespace characters are not permitted.)
      Parameters:
      name - the name of the enum constant to be returned.
      Returns:
      the enum constant with the specified name
      Throws:
      IllegalArgumentException - if this enum type has no constant with the specified name
      NullPointerException - if the argument is null

    • getNumber

      public final int getNumber()
      Specified by:
      getNumber in interface com.google.protobuf.Internal.EnumLite
      Specified by:
      getNumber in interface com.google.protobuf.ProtocolMessageEnum

    • valueOf

      @Deprecated public static AutoMlImageClassificationInputs.ModelType valueOf(int value)
      Deprecated.
      Returns the enum constant of this type with the specified name. The string must match exactly an identifier used to declare an enum constant in this type. (Extraneous whitespace characters are not permitted.)
      Parameters:
      value - the name of the enum constant to be returned.
      Returns:
      the enum constant with the specified name
      Throws:
      IllegalArgumentException - if this enum type has no constant with the specified name
      NullPointerException - if the argument is null

    • forNumber

      public static AutoMlImageClassificationInputs.ModelType forNumber(int value)
      Parameters:
      value - The numeric wire value of the corresponding enum entry.
      Returns:
      The enum associated with the given numeric wire value.

    • internalGetValueMap

      public static com.google.protobuf.Internal.EnumLiteMap<AutoMlImageClassificationInputs.ModelType> internalGetValueMap()

    • getValueDescriptor

      public final com.google.protobuf.Descriptors.EnumValueDescriptor getValueDescriptor()
      Specified by:
      getValueDescriptor in interface com.google.protobuf.ProtocolMessageEnum

    • getDescriptorForType

      public final com.google.protobuf.Descriptors.EnumDescriptor getDescriptorForType()
      Specified by:
      getDescriptorForType in interface com.google.protobuf.ProtocolMessageEnum

    • getDescriptor

      public static com.google.protobuf.Descriptors.EnumDescriptor getDescriptor()

    • valueOf

      public static AutoMlImageClassificationInputs.ModelType valueOf(com.google.protobuf.Descriptors.EnumValueDescriptor desc)
      Returns the enum constant of this type with the specified name. The string must match exactly an identifier used to declare an enum constant in this type. (Extraneous whitespace characters are not permitted.)
      Parameters:
      desc - the name of the enum constant to be returned.
      Returns:
      the enum constant with the specified name
      Throws:
      IllegalArgumentException - if this enum type has no constant with the specified name
      NullPointerException - if the argument is null