Package com.google.cloud.aiplatform.v1

Enum ExplanationMetadata.InputMetadata.Encoding

    • Enum Constant Detail

      • BAG_OF_FEATURES

        public static final ExplanationMetadata.InputMetadata.Encoding BAG_OF_FEATURES
         The tensor represents a bag of features where each index maps to
 a feature.
 [InputMetadata.index_feature_mapping][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.index_feature_mapping]
 must be provided for this encoding. For example:
 ```
 input = [27, 6.0, 150]
 index_feature_mapping = ["age", "height", "weight"]
 ```
        BAG_OF_FEATURES = 2;

      • BAG_OF_FEATURES_SPARSE

        public static final ExplanationMetadata.InputMetadata.Encoding BAG_OF_FEATURES_SPARSE
         The tensor represents a bag of features where each index maps to a
 feature. Zero values in the tensor indicates feature being
 non-existent.
 [InputMetadata.index_feature_mapping][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.index_feature_mapping]
 must be provided for this encoding. For example:
 ```
 input = [2, 0, 5, 0, 1]
 index_feature_mapping = ["a", "b", "c", "d", "e"]
 ```
        BAG_OF_FEATURES_SPARSE = 3;

      • INDICATOR

        public static final ExplanationMetadata.InputMetadata.Encoding INDICATOR
         The tensor is a list of binaries representing whether a feature exists
 or not (1 indicates existence).
 [InputMetadata.index_feature_mapping][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.index_feature_mapping]
 must be provided for this encoding. For example:
 ```
 input = [1, 0, 1, 0, 1]
 index_feature_mapping = ["a", "b", "c", "d", "e"]
 ```
        INDICATOR = 4;

      • COMBINED_EMBEDDING

        public static final ExplanationMetadata.InputMetadata.Encoding COMBINED_EMBEDDING
         The tensor is encoded into a 1-dimensional array represented by an
 encoded tensor.
 [InputMetadata.encoded_tensor_name][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.encoded_tensor_name]
 must be provided for this encoding. For example:
 ```
 input = ["This", "is", "a", "test", "."]
 encoded = [0.1, 0.2, 0.3, 0.4, 0.5]
 ```
        COMBINED_EMBEDDING = 5;

      • CONCAT_EMBEDDING

        public static final ExplanationMetadata.InputMetadata.Encoding CONCAT_EMBEDDING
         Select this encoding when the input tensor is encoded into a
 2-dimensional array represented by an encoded tensor.
 [InputMetadata.encoded_tensor_name][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.encoded_tensor_name]
 must be provided for this encoding. The first dimension of the encoded
 tensor's shape is the same as the input tensor's shape. For example:
 ```
 input = ["This", "is", "a", "test", "."]
 encoded = [[0.1, 0.2, 0.3, 0.4, 0.5],
            [0.2, 0.1, 0.4, 0.3, 0.5],
            [0.5, 0.1, 0.3, 0.5, 0.4],
            [0.5, 0.3, 0.1, 0.2, 0.4],
            [0.4, 0.3, 0.2, 0.5, 0.1]]
 ```
        CONCAT_EMBEDDING = 6;

    • Field Detail

      • ENCODING_UNSPECIFIED_VALUE

        public static final int ENCODING_UNSPECIFIED_VALUE
         Default value. This is the same as IDENTITY.
        ENCODING_UNSPECIFIED = 0;
        See Also:
        Constant Field Values

      • IDENTITY_VALUE

        public static final int IDENTITY_VALUE
         The tensor represents one feature.
        IDENTITY = 1;
        See Also:
        Constant Field Values

      • BAG_OF_FEATURES_VALUE

        public static final int BAG_OF_FEATURES_VALUE
         The tensor represents a bag of features where each index maps to
 a feature.
 [InputMetadata.index_feature_mapping][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.index_feature_mapping]
 must be provided for this encoding. For example:
 ```
 input = [27, 6.0, 150]
 index_feature_mapping = ["age", "height", "weight"]
 ```
        BAG_OF_FEATURES = 2;
        See Also:
        Constant Field Values

      • BAG_OF_FEATURES_SPARSE_VALUE

        public static final int BAG_OF_FEATURES_SPARSE_VALUE
         The tensor represents a bag of features where each index maps to a
 feature. Zero values in the tensor indicates feature being
 non-existent.
 [InputMetadata.index_feature_mapping][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.index_feature_mapping]
 must be provided for this encoding. For example:
 ```
 input = [2, 0, 5, 0, 1]
 index_feature_mapping = ["a", "b", "c", "d", "e"]
 ```
        BAG_OF_FEATURES_SPARSE = 3;
        See Also:
        Constant Field Values

      • INDICATOR_VALUE

        public static final int INDICATOR_VALUE
         The tensor is a list of binaries representing whether a feature exists
 or not (1 indicates existence).
 [InputMetadata.index_feature_mapping][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.index_feature_mapping]
 must be provided for this encoding. For example:
 ```
 input = [1, 0, 1, 0, 1]
 index_feature_mapping = ["a", "b", "c", "d", "e"]
 ```
        INDICATOR = 4;
        See Also:
        Constant Field Values

      • COMBINED_EMBEDDING_VALUE

        public static final int COMBINED_EMBEDDING_VALUE
         The tensor is encoded into a 1-dimensional array represented by an
 encoded tensor.
 [InputMetadata.encoded_tensor_name][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.encoded_tensor_name]
 must be provided for this encoding. For example:
 ```
 input = ["This", "is", "a", "test", "."]
 encoded = [0.1, 0.2, 0.3, 0.4, 0.5]
 ```
        COMBINED_EMBEDDING = 5;
        See Also:
        Constant Field Values

      • CONCAT_EMBEDDING_VALUE

        public static final int CONCAT_EMBEDDING_VALUE
         Select this encoding when the input tensor is encoded into a
 2-dimensional array represented by an encoded tensor.
 [InputMetadata.encoded_tensor_name][google.cloud.aiplatform.v1.ExplanationMetadata.InputMetadata.encoded_tensor_name]
 must be provided for this encoding. The first dimension of the encoded
 tensor's shape is the same as the input tensor's shape. For example:
 ```
 input = ["This", "is", "a", "test", "."]
 encoded = [[0.1, 0.2, 0.3, 0.4, 0.5],
            [0.2, 0.1, 0.4, 0.3, 0.5],
            [0.5, 0.1, 0.3, 0.5, 0.4],
            [0.5, 0.3, 0.1, 0.2, 0.4],
            [0.4, 0.3, 0.2, 0.5, 0.1]]
 ```
        CONCAT_EMBEDDING = 6;
        See Also:
        Constant Field Values

    • Method Detail

      • values

        public static ExplanationMetadata.InputMetadata.Encoding[] values()
        Returns an array containing the constants of this enum type, in the order they are declared. This method may be used to iterate over the constants as follows: 
        for (ExplanationMetadata.InputMetadata.Encoding c : ExplanationMetadata.InputMetadata.Encoding.values())
    System.out.println(c);
        Returns:
        an array containing the constants of this enum type, in the order they are declared

      • valueOf

        public static ExplanationMetadata.InputMetadata.Encoding 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 ExplanationMetadata.InputMetadata.Encoding 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 ExplanationMetadata.InputMetadata.Encoding forNumber​(int value)
        Parameters:
        value - The numeric wire value of the corresponding enum entry.
        Returns:
        The enum associated with the given numeric wire value.

      • 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 final com.google.protobuf.Descriptors.EnumDescriptor getDescriptor()

      • valueOf

        public static ExplanationMetadata.InputMetadata.Encoding 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