Uses of Class
org.tensorflow.proto.Features
Packages that use Features
-
Uses of Features in org.tensorflow.proto
Methods in org.tensorflow.proto that return FeaturesModifier and TypeMethodDescriptionFeatures.Builder.build()Features.Builder.buildPartial()SequenceExample.Builder.getContext().tensorflow.Features context = 1;SequenceExample.getContext().tensorflow.Features context = 1;SequenceExampleOrBuilder.getContext().tensorflow.Features context = 1;static FeaturesFeatures.getDefaultInstance()Features.Builder.getDefaultInstanceForType()Features.getDefaultInstanceForType()Example.Builder.getFeatures().tensorflow.Features features = 1;Example.getFeatures().tensorflow.Features features = 1;ExampleOrBuilder.getFeatures().tensorflow.Features features = 1;static FeaturesFeatures.parseDelimitedFrom(InputStream input) static FeaturesFeatures.parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry) static FeaturesFeatures.parseFrom(byte[] data) static FeaturesFeatures.parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry) static FeaturesFeatures.parseFrom(ByteString data) static FeaturesFeatures.parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry) static FeaturesFeatures.parseFrom(CodedInputStream input) static FeaturesFeatures.parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry) static FeaturesFeatures.parseFrom(InputStream input) static FeaturesFeatures.parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry) static FeaturesFeatures.parseFrom(ByteBuffer data) static FeaturesFeatures.parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry) Methods in org.tensorflow.proto that return types with arguments of type FeaturesMethods in org.tensorflow.proto with parameters of type FeaturesModifier and TypeMethodDescriptionSequenceExample.Builder.mergeContext(Features value) .tensorflow.Features context = 1;Example.Builder.mergeFeatures(Features value) .tensorflow.Features features = 1;static Features.BuilderFeatures.newBuilder(Features prototype) SequenceExample.Builder.setContext(Features value) .tensorflow.Features context = 1;Example.Builder.setFeatures(Features value) .tensorflow.Features features = 1;