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public static final class ExplanationMetadata.OutputMetadata extends GeneratedMessageV3 implements ExplanationMetadata.OutputMetadataOrBuilder
Metadata of the prediction output to be explained.
Protobuf type google.cloud.aiplatform.v1beta1.ExplanationMetadata.OutputMetadata
Inheritance
Object > AbstractMessageLite<MessageType,BuilderType> > AbstractMessage > GeneratedMessageV3 > ExplanationMetadata.OutputMetadataImplements
ExplanationMetadata.OutputMetadataOrBuilderStatic Fields
DISPLAY_NAME_MAPPING_KEY_FIELD_NUMBER
public static final int DISPLAY_NAME_MAPPING_KEY_FIELD_NUMBER
Type | Description |
int |
INDEX_DISPLAY_NAME_MAPPING_FIELD_NUMBER
public static final int INDEX_DISPLAY_NAME_MAPPING_FIELD_NUMBER
Type | Description |
int |
OUTPUT_TENSOR_NAME_FIELD_NUMBER
public static final int OUTPUT_TENSOR_NAME_FIELD_NUMBER
Type | Description |
int |
Static Methods
getDefaultInstance()
public static ExplanationMetadata.OutputMetadata getDefaultInstance()
Type | Description |
ExplanationMetadata.OutputMetadata |
getDescriptor()
public static final Descriptors.Descriptor getDescriptor()
Type | Description |
Descriptor |
newBuilder()
public static ExplanationMetadata.OutputMetadata.Builder newBuilder()
Type | Description |
ExplanationMetadata.OutputMetadata.Builder |
newBuilder(ExplanationMetadata.OutputMetadata prototype)
public static ExplanationMetadata.OutputMetadata.Builder newBuilder(ExplanationMetadata.OutputMetadata prototype)
Name | Description |
prototype | ExplanationMetadata.OutputMetadata |
Type | Description |
ExplanationMetadata.OutputMetadata.Builder |
parseDelimitedFrom(InputStream input)
public static ExplanationMetadata.OutputMetadata parseDelimitedFrom(InputStream input)
Name | Description |
input | InputStream |
Type | Description |
ExplanationMetadata.OutputMetadata |
Type | Description |
IOException |
parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
public static ExplanationMetadata.OutputMetadata parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Name | Description |
input | InputStream |
extensionRegistry | ExtensionRegistryLite |
Type | Description |
ExplanationMetadata.OutputMetadata |
Type | Description |
IOException |
parseFrom(byte[] data)
public static ExplanationMetadata.OutputMetadata parseFrom(byte[] data)
Name | Description |
data | byte[] |
Type | Description |
ExplanationMetadata.OutputMetadata |
Type | Description |
InvalidProtocolBufferException |
parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
public static ExplanationMetadata.OutputMetadata parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
Name | Description |
data | byte[] |
extensionRegistry | ExtensionRegistryLite |
Type | Description |
ExplanationMetadata.OutputMetadata |
Type | Description |
InvalidProtocolBufferException |
parseFrom(ByteString data)
public static ExplanationMetadata.OutputMetadata parseFrom(ByteString data)
Name | Description |
data | ByteString |
Type | Description |
ExplanationMetadata.OutputMetadata |
Type | Description |
InvalidProtocolBufferException |
parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
public static ExplanationMetadata.OutputMetadata parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
Name | Description |
data | ByteString |
extensionRegistry | ExtensionRegistryLite |
Type | Description |
ExplanationMetadata.OutputMetadata |
Type | Description |
InvalidProtocolBufferException |
parseFrom(CodedInputStream input)
public static ExplanationMetadata.OutputMetadata parseFrom(CodedInputStream input)
Name | Description |
input | CodedInputStream |
Type | Description |
ExplanationMetadata.OutputMetadata |
Type | Description |
IOException |
parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
public static ExplanationMetadata.OutputMetadata parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Name | Description |
input | CodedInputStream |
extensionRegistry | ExtensionRegistryLite |
Type | Description |
ExplanationMetadata.OutputMetadata |
Type | Description |
IOException |
parseFrom(InputStream input)
public static ExplanationMetadata.OutputMetadata parseFrom(InputStream input)
Name | Description |
input | InputStream |
Type | Description |
ExplanationMetadata.OutputMetadata |
Type | Description |
IOException |
parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
public static ExplanationMetadata.OutputMetadata parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Name | Description |
input | InputStream |
extensionRegistry | ExtensionRegistryLite |
Type | Description |
ExplanationMetadata.OutputMetadata |
Type | Description |
IOException |
parseFrom(ByteBuffer data)
public static ExplanationMetadata.OutputMetadata parseFrom(ByteBuffer data)
Name | Description |
data | ByteBuffer |
Type | Description |
ExplanationMetadata.OutputMetadata |
Type | Description |
InvalidProtocolBufferException |
parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
public static ExplanationMetadata.OutputMetadata parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
Name | Description |
data | ByteBuffer |
extensionRegistry | ExtensionRegistryLite |
Type | Description |
ExplanationMetadata.OutputMetadata |
Type | Description |
InvalidProtocolBufferException |
parser()
public static Parser<ExplanationMetadata.OutputMetadata> parser()
Type | Description |
Parser<OutputMetadata> |
Methods
equals(Object obj)
public boolean equals(Object obj)
Name | Description |
obj | Object |
Type | Description |
boolean |
getDefaultInstanceForType()
public ExplanationMetadata.OutputMetadata getDefaultInstanceForType()
Type | Description |
ExplanationMetadata.OutputMetadata |
getDisplayNameMappingCase()
public ExplanationMetadata.OutputMetadata.DisplayNameMappingCase getDisplayNameMappingCase()
Type | Description |
ExplanationMetadata.OutputMetadata.DisplayNameMappingCase |
getDisplayNameMappingKey()
public String getDisplayNameMappingKey()
Specify a field name in the prediction to look for the display name. Use this if the prediction contains the display names for the outputs. The display names in the prediction must have the same shape of the outputs, so that it can be located by Attribution.output_index for a specific output.
string display_name_mapping_key = 2;
Type | Description |
String | The displayNameMappingKey. |
getDisplayNameMappingKeyBytes()
public ByteString getDisplayNameMappingKeyBytes()
Specify a field name in the prediction to look for the display name. Use this if the prediction contains the display names for the outputs. The display names in the prediction must have the same shape of the outputs, so that it can be located by Attribution.output_index for a specific output.
string display_name_mapping_key = 2;
Type | Description |
ByteString | The bytes for displayNameMappingKey. |
getIndexDisplayNameMapping()
public Value getIndexDisplayNameMapping()
Static mapping between the index and display name. Use this if the outputs are a deterministic n-dimensional array, e.g. a list of scores of all the classes in a pre-defined order for a multi-classification Model. It's not feasible if the outputs are non-deterministic, e.g. the Model produces top-k classes or sort the outputs by their values. The shape of the value must be an n-dimensional array of strings. The number of dimensions must match that of the outputs to be explained. The Attribution.output_display_name is populated by locating in the mapping with Attribution.output_index.
.google.protobuf.Value index_display_name_mapping = 1;
Type | Description |
Value | The indexDisplayNameMapping. |
getIndexDisplayNameMappingOrBuilder()
public ValueOrBuilder getIndexDisplayNameMappingOrBuilder()
Static mapping between the index and display name. Use this if the outputs are a deterministic n-dimensional array, e.g. a list of scores of all the classes in a pre-defined order for a multi-classification Model. It's not feasible if the outputs are non-deterministic, e.g. the Model produces top-k classes or sort the outputs by their values. The shape of the value must be an n-dimensional array of strings. The number of dimensions must match that of the outputs to be explained. The Attribution.output_display_name is populated by locating in the mapping with Attribution.output_index.
.google.protobuf.Value index_display_name_mapping = 1;
Type | Description |
ValueOrBuilder |
getOutputTensorName()
public String getOutputTensorName()
Name of the output tensor. Required and is only applicable to Vertex AI provided images for Tensorflow.
string output_tensor_name = 3;
Type | Description |
String | The outputTensorName. |
getOutputTensorNameBytes()
public ByteString getOutputTensorNameBytes()
Name of the output tensor. Required and is only applicable to Vertex AI provided images for Tensorflow.
string output_tensor_name = 3;
Type | Description |
ByteString | The bytes for outputTensorName. |
getParserForType()
public Parser<ExplanationMetadata.OutputMetadata> getParserForType()
Type | Description |
Parser<OutputMetadata> |
getSerializedSize()
public int getSerializedSize()
Type | Description |
int |
getUnknownFields()
public final UnknownFieldSet getUnknownFields()
Type | Description |
UnknownFieldSet |
hasDisplayNameMappingKey()
public boolean hasDisplayNameMappingKey()
Specify a field name in the prediction to look for the display name. Use this if the prediction contains the display names for the outputs. The display names in the prediction must have the same shape of the outputs, so that it can be located by Attribution.output_index for a specific output.
string display_name_mapping_key = 2;
Type | Description |
boolean | Whether the displayNameMappingKey field is set. |
hasIndexDisplayNameMapping()
public boolean hasIndexDisplayNameMapping()
Static mapping between the index and display name. Use this if the outputs are a deterministic n-dimensional array, e.g. a list of scores of all the classes in a pre-defined order for a multi-classification Model. It's not feasible if the outputs are non-deterministic, e.g. the Model produces top-k classes or sort the outputs by their values. The shape of the value must be an n-dimensional array of strings. The number of dimensions must match that of the outputs to be explained. The Attribution.output_display_name is populated by locating in the mapping with Attribution.output_index.
.google.protobuf.Value index_display_name_mapping = 1;
Type | Description |
boolean | Whether the indexDisplayNameMapping field is set. |
hashCode()
public int hashCode()
Type | Description |
int |
internalGetFieldAccessorTable()
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Type | Description |
FieldAccessorTable |
isInitialized()
public final boolean isInitialized()
Type | Description |
boolean |
newBuilderForType()
public ExplanationMetadata.OutputMetadata.Builder newBuilderForType()
Type | Description |
ExplanationMetadata.OutputMetadata.Builder |
newBuilderForType(GeneratedMessageV3.BuilderParent parent)
protected ExplanationMetadata.OutputMetadata.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)
Name | Description |
parent | BuilderParent |
Type | Description |
ExplanationMetadata.OutputMetadata.Builder |
newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
Name | Description |
unused | UnusedPrivateParameter |
Type | Description |
Object |
toBuilder()
public ExplanationMetadata.OutputMetadata.Builder toBuilder()
Type | Description |
ExplanationMetadata.OutputMetadata.Builder |
writeTo(CodedOutputStream output)
public void writeTo(CodedOutputStream output)
Name | Description |
output | CodedOutputStream |
Type | Description |
IOException |