public static final class Schema.Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Schema.Builder> implements SchemaOrBuilder
Message to represent schema information. NextID: 14Protobuf type
tensorflow.metadata.v0.Schema| Modifier and Type | Method and Description |
|---|---|
Schema.Builder |
addAllDefaultEnvironment(Iterable<String> values)
Default environments for each feature.
|
Schema.Builder |
addAllFeature(Iterable<? extends Feature> values)
Features described in this schema.
|
Schema.Builder |
addAllFloatDomain(Iterable<? extends FloatDomain> values)
top level float domains that can be reused by features
|
Schema.Builder |
addAllIntDomain(Iterable<? extends IntDomain> values)
top level int domains that can be reused by features
|
Schema.Builder |
addAllSparseFeature(Iterable<? extends SparseFeature> values)
Sparse features described in this schema.
|
Schema.Builder |
addAllStringDomain(Iterable<? extends StringDomain> values)
declared as top-level features in <feature>.
|
Schema.Builder |
addAllWeightedFeature(Iterable<? extends WeightedFeature> values)
Weighted features described in this schema.
|
Schema.Builder |
addDefaultEnvironment(String value)
Default environments for each feature.
|
Schema.Builder |
addDefaultEnvironmentBytes(com.google.protobuf.ByteString value)
Default environments for each feature.
|
Schema.Builder |
addFeature(Feature.Builder builderForValue)
Features described in this schema.
|
Schema.Builder |
addFeature(Feature value)
Features described in this schema.
|
Schema.Builder |
addFeature(int index,
Feature.Builder builderForValue)
Features described in this schema.
|
Schema.Builder |
addFeature(int index,
Feature value)
Features described in this schema.
|
Feature.Builder |
addFeatureBuilder()
Features described in this schema.
|
Feature.Builder |
addFeatureBuilder(int index)
Features described in this schema.
|
Schema.Builder |
addFloatDomain(FloatDomain.Builder builderForValue)
top level float domains that can be reused by features
|
Schema.Builder |
addFloatDomain(FloatDomain value)
top level float domains that can be reused by features
|
Schema.Builder |
addFloatDomain(int index,
FloatDomain.Builder builderForValue)
top level float domains that can be reused by features
|
Schema.Builder |
addFloatDomain(int index,
FloatDomain value)
top level float domains that can be reused by features
|
FloatDomain.Builder |
addFloatDomainBuilder()
top level float domains that can be reused by features
|
FloatDomain.Builder |
addFloatDomainBuilder(int index)
top level float domains that can be reused by features
|
Schema.Builder |
addIntDomain(IntDomain.Builder builderForValue)
top level int domains that can be reused by features
|
Schema.Builder |
addIntDomain(IntDomain value)
top level int domains that can be reused by features
|
Schema.Builder |
addIntDomain(int index,
IntDomain.Builder builderForValue)
top level int domains that can be reused by features
|
Schema.Builder |
addIntDomain(int index,
IntDomain value)
top level int domains that can be reused by features
|
IntDomain.Builder |
addIntDomainBuilder()
top level int domains that can be reused by features
|
IntDomain.Builder |
addIntDomainBuilder(int index)
top level int domains that can be reused by features
|
Schema.Builder |
addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field,
Object value) |
Schema.Builder |
addSparseFeature(int index,
SparseFeature.Builder builderForValue)
Sparse features described in this schema.
|
Schema.Builder |
addSparseFeature(int index,
SparseFeature value)
Sparse features described in this schema.
|
Schema.Builder |
addSparseFeature(SparseFeature.Builder builderForValue)
Sparse features described in this schema.
|
Schema.Builder |
addSparseFeature(SparseFeature value)
Sparse features described in this schema.
|
SparseFeature.Builder |
addSparseFeatureBuilder()
Sparse features described in this schema.
|
SparseFeature.Builder |
addSparseFeatureBuilder(int index)
Sparse features described in this schema.
|
Schema.Builder |
addStringDomain(int index,
StringDomain.Builder builderForValue)
declared as top-level features in <feature>.
|
Schema.Builder |
addStringDomain(int index,
StringDomain value)
declared as top-level features in <feature>.
|
Schema.Builder |
addStringDomain(StringDomain.Builder builderForValue)
declared as top-level features in <feature>.
|
Schema.Builder |
addStringDomain(StringDomain value)
declared as top-level features in <feature>.
|
StringDomain.Builder |
addStringDomainBuilder()
declared as top-level features in <feature>.
|
StringDomain.Builder |
addStringDomainBuilder(int index)
declared as top-level features in <feature>.
|
Schema.Builder |
addWeightedFeature(int index,
WeightedFeature.Builder builderForValue)
Weighted features described in this schema.
|
Schema.Builder |
addWeightedFeature(int index,
WeightedFeature value)
Weighted features described in this schema.
|
Schema.Builder |
addWeightedFeature(WeightedFeature.Builder builderForValue)
Weighted features described in this schema.
|
Schema.Builder |
addWeightedFeature(WeightedFeature value)
Weighted features described in this schema.
|
WeightedFeature.Builder |
addWeightedFeatureBuilder()
Weighted features described in this schema.
|
WeightedFeature.Builder |
addWeightedFeatureBuilder(int index)
Weighted features described in this schema.
|
Schema |
build() |
Schema |
buildPartial() |
Schema.Builder |
clear() |
Schema.Builder |
clearAnnotation()
Additional information about the schema as a whole.
|
Schema.Builder |
clearDatasetConstraints()
Dataset-level constraints.
|
Schema.Builder |
clearDefaultEnvironment()
Default environments for each feature.
|
Schema.Builder |
clearFeature()
Features described in this schema.
|
Schema.Builder |
clearField(com.google.protobuf.Descriptors.FieldDescriptor field) |
Schema.Builder |
clearFloatDomain()
top level float domains that can be reused by features
|
Schema.Builder |
clearIntDomain()
top level int domains that can be reused by features
|
Schema.Builder |
clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) |
Schema.Builder |
clearSparseFeature()
Sparse features described in this schema.
|
Schema.Builder |
clearStringDomain()
declared as top-level features in <feature>.
|
Schema.Builder |
clearTensorRepresentationGroup() |
Schema.Builder |
clearWeightedFeature()
Weighted features described in this schema.
|
Schema.Builder |
clone() |
boolean |
containsTensorRepresentationGroup(String key)
TensorRepresentation groups.
|
Annotation |
getAnnotation()
Additional information about the schema as a whole.
|
Annotation.Builder |
getAnnotationBuilder()
Additional information about the schema as a whole.
|
AnnotationOrBuilder |
getAnnotationOrBuilder()
Additional information about the schema as a whole.
|
DatasetConstraints |
getDatasetConstraints()
Dataset-level constraints.
|
DatasetConstraints.Builder |
getDatasetConstraintsBuilder()
Dataset-level constraints.
|
DatasetConstraintsOrBuilder |
getDatasetConstraintsOrBuilder()
Dataset-level constraints.
|
String |
getDefaultEnvironment(int index)
Default environments for each feature.
|
com.google.protobuf.ByteString |
getDefaultEnvironmentBytes(int index)
Default environments for each feature.
|
int |
getDefaultEnvironmentCount()
Default environments for each feature.
|
com.google.protobuf.ProtocolStringList |
getDefaultEnvironmentList()
Default environments for each feature.
|
Schema |
getDefaultInstanceForType() |
static com.google.protobuf.Descriptors.Descriptor |
getDescriptor() |
com.google.protobuf.Descriptors.Descriptor |
getDescriptorForType() |
Feature |
getFeature(int index)
Features described in this schema.
|
Feature.Builder |
getFeatureBuilder(int index)
Features described in this schema.
|
List<Feature.Builder> |
getFeatureBuilderList()
Features described in this schema.
|
int |
getFeatureCount()
Features described in this schema.
|
List<Feature> |
getFeatureList()
Features described in this schema.
|
FeatureOrBuilder |
getFeatureOrBuilder(int index)
Features described in this schema.
|
List<? extends FeatureOrBuilder> |
getFeatureOrBuilderList()
Features described in this schema.
|
FloatDomain |
getFloatDomain(int index)
top level float domains that can be reused by features
|
FloatDomain.Builder |
getFloatDomainBuilder(int index)
top level float domains that can be reused by features
|
List<FloatDomain.Builder> |
getFloatDomainBuilderList()
top level float domains that can be reused by features
|
int |
getFloatDomainCount()
top level float domains that can be reused by features
|
List<FloatDomain> |
getFloatDomainList()
top level float domains that can be reused by features
|
FloatDomainOrBuilder |
getFloatDomainOrBuilder(int index)
top level float domains that can be reused by features
|
List<? extends FloatDomainOrBuilder> |
getFloatDomainOrBuilderList()
top level float domains that can be reused by features
|
IntDomain |
getIntDomain(int index)
top level int domains that can be reused by features
|
IntDomain.Builder |
getIntDomainBuilder(int index)
top level int domains that can be reused by features
|
List<IntDomain.Builder> |
getIntDomainBuilderList()
top level int domains that can be reused by features
|
int |
getIntDomainCount()
top level int domains that can be reused by features
|
List<IntDomain> |
getIntDomainList()
top level int domains that can be reused by features
|
IntDomainOrBuilder |
getIntDomainOrBuilder(int index)
top level int domains that can be reused by features
|
List<? extends IntDomainOrBuilder> |
getIntDomainOrBuilderList()
top level int domains that can be reused by features
|
Map<String,TensorRepresentationGroup> |
getMutableTensorRepresentationGroup()
Deprecated.
|
SparseFeature |
getSparseFeature(int index)
Sparse features described in this schema.
|
SparseFeature.Builder |
getSparseFeatureBuilder(int index)
Sparse features described in this schema.
|
List<SparseFeature.Builder> |
getSparseFeatureBuilderList()
Sparse features described in this schema.
|
int |
getSparseFeatureCount()
Sparse features described in this schema.
|
List<SparseFeature> |
getSparseFeatureList()
Sparse features described in this schema.
|
SparseFeatureOrBuilder |
getSparseFeatureOrBuilder(int index)
Sparse features described in this schema.
|
List<? extends SparseFeatureOrBuilder> |
getSparseFeatureOrBuilderList()
Sparse features described in this schema.
|
StringDomain |
getStringDomain(int index)
declared as top-level features in <feature>.
|
StringDomain.Builder |
getStringDomainBuilder(int index)
declared as top-level features in <feature>.
|
List<StringDomain.Builder> |
getStringDomainBuilderList()
declared as top-level features in <feature>.
|
int |
getStringDomainCount()
declared as top-level features in <feature>.
|
List<StringDomain> |
getStringDomainList()
declared as top-level features in <feature>.
|
StringDomainOrBuilder |
getStringDomainOrBuilder(int index)
declared as top-level features in <feature>.
|
List<? extends StringDomainOrBuilder> |
getStringDomainOrBuilderList()
declared as top-level features in <feature>.
|
Map<String,TensorRepresentationGroup> |
getTensorRepresentationGroup()
Deprecated.
|
int |
getTensorRepresentationGroupCount()
TensorRepresentation groups.
|
Map<String,TensorRepresentationGroup> |
getTensorRepresentationGroupMap()
TensorRepresentation groups.
|
TensorRepresentationGroup |
getTensorRepresentationGroupOrDefault(String key,
TensorRepresentationGroup defaultValue)
TensorRepresentation groups.
|
TensorRepresentationGroup |
getTensorRepresentationGroupOrThrow(String key)
TensorRepresentation groups.
|
WeightedFeature |
getWeightedFeature(int index)
Weighted features described in this schema.
|
WeightedFeature.Builder |
getWeightedFeatureBuilder(int index)
Weighted features described in this schema.
|
List<WeightedFeature.Builder> |
getWeightedFeatureBuilderList()
Weighted features described in this schema.
|
int |
getWeightedFeatureCount()
Weighted features described in this schema.
|
List<WeightedFeature> |
getWeightedFeatureList()
Weighted features described in this schema.
|
WeightedFeatureOrBuilder |
getWeightedFeatureOrBuilder(int index)
Weighted features described in this schema.
|
List<? extends WeightedFeatureOrBuilder> |
getWeightedFeatureOrBuilderList()
Weighted features described in this schema.
|
boolean |
hasAnnotation()
Additional information about the schema as a whole.
|
boolean |
hasDatasetConstraints()
Dataset-level constraints.
|
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable |
internalGetFieldAccessorTable() |
protected com.google.protobuf.MapField |
internalGetMapField(int number) |
protected com.google.protobuf.MapField |
internalGetMutableMapField(int number) |
boolean |
isInitialized() |
Schema.Builder |
mergeAnnotation(Annotation value)
Additional information about the schema as a whole.
|
Schema.Builder |
mergeDatasetConstraints(DatasetConstraints value)
Dataset-level constraints.
|
Schema.Builder |
mergeFrom(com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
Schema.Builder |
mergeFrom(com.google.protobuf.Message other) |
Schema.Builder |
mergeFrom(Schema other) |
Schema.Builder |
mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields) |
Schema.Builder |
putAllTensorRepresentationGroup(Map<String,TensorRepresentationGroup> values)
TensorRepresentation groups.
|
Schema.Builder |
putTensorRepresentationGroup(String key,
TensorRepresentationGroup value)
TensorRepresentation groups.
|
Schema.Builder |
removeFeature(int index)
Features described in this schema.
|
Schema.Builder |
removeFloatDomain(int index)
top level float domains that can be reused by features
|
Schema.Builder |
removeIntDomain(int index)
top level int domains that can be reused by features
|
Schema.Builder |
removeSparseFeature(int index)
Sparse features described in this schema.
|
Schema.Builder |
removeStringDomain(int index)
declared as top-level features in <feature>.
|
Schema.Builder |
removeTensorRepresentationGroup(String key)
TensorRepresentation groups.
|
Schema.Builder |
removeWeightedFeature(int index)
Weighted features described in this schema.
|
Schema.Builder |
setAnnotation(Annotation.Builder builderForValue)
Additional information about the schema as a whole.
|
Schema.Builder |
setAnnotation(Annotation value)
Additional information about the schema as a whole.
|
Schema.Builder |
setDatasetConstraints(DatasetConstraints.Builder builderForValue)
Dataset-level constraints.
|
Schema.Builder |
setDatasetConstraints(DatasetConstraints value)
Dataset-level constraints.
|
Schema.Builder |
setDefaultEnvironment(int index,
String value)
Default environments for each feature.
|
Schema.Builder |
setFeature(int index,
Feature.Builder builderForValue)
Features described in this schema.
|
Schema.Builder |
setFeature(int index,
Feature value)
Features described in this schema.
|
Schema.Builder |
setField(com.google.protobuf.Descriptors.FieldDescriptor field,
Object value) |
Schema.Builder |
setFloatDomain(int index,
FloatDomain.Builder builderForValue)
top level float domains that can be reused by features
|
Schema.Builder |
setFloatDomain(int index,
FloatDomain value)
top level float domains that can be reused by features
|
Schema.Builder |
setIntDomain(int index,
IntDomain.Builder builderForValue)
top level int domains that can be reused by features
|
Schema.Builder |
setIntDomain(int index,
IntDomain value)
top level int domains that can be reused by features
|
Schema.Builder |
setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field,
int index,
Object value) |
Schema.Builder |
setSparseFeature(int index,
SparseFeature.Builder builderForValue)
Sparse features described in this schema.
|
Schema.Builder |
setSparseFeature(int index,
SparseFeature value)
Sparse features described in this schema.
|
Schema.Builder |
setStringDomain(int index,
StringDomain.Builder builderForValue)
declared as top-level features in <feature>.
|
Schema.Builder |
setStringDomain(int index,
StringDomain value)
declared as top-level features in <feature>.
|
Schema.Builder |
setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields) |
Schema.Builder |
setWeightedFeature(int index,
WeightedFeature.Builder builderForValue)
Weighted features described in this schema.
|
Schema.Builder |
setWeightedFeature(int index,
WeightedFeature value)
Weighted features described in this schema.
|
getAllFields, getField, getFieldBuilder, getOneofFieldDescriptor, getParentForChildren, getRepeatedField, getRepeatedFieldBuilder, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof, isClean, markClean, newBuilderForField, onBuilt, onChanged, setUnknownFieldsProto3findInitializationErrors, getInitializationErrorString, internalMergeFrom, mergeDelimitedFrom, mergeDelimitedFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, newUninitializedMessageException, toStringaddAll, addAll, mergeFrom, newUninitializedMessageExceptionequals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, waitpublic static final com.google.protobuf.Descriptors.Descriptor getDescriptor()
protected com.google.protobuf.MapField internalGetMapField(int number)
internalGetMapField in class com.google.protobuf.GeneratedMessageV3.Builder<Schema.Builder>protected com.google.protobuf.MapField internalGetMutableMapField(int number)
internalGetMutableMapField in class com.google.protobuf.GeneratedMessageV3.Builder<Schema.Builder>protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessageV3.Builder<Schema.Builder>public Schema.Builder clear()
clear in interface com.google.protobuf.Message.Builderclear in interface com.google.protobuf.MessageLite.Builderclear in class com.google.protobuf.GeneratedMessageV3.Builder<Schema.Builder>public com.google.protobuf.Descriptors.Descriptor getDescriptorForType()
getDescriptorForType in interface com.google.protobuf.Message.BuildergetDescriptorForType in interface com.google.protobuf.MessageOrBuildergetDescriptorForType in class com.google.protobuf.GeneratedMessageV3.Builder<Schema.Builder>public Schema getDefaultInstanceForType()
getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuildergetDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilderpublic Schema build()
build in interface com.google.protobuf.Message.Builderbuild in interface com.google.protobuf.MessageLite.Builderpublic Schema buildPartial()
buildPartial in interface com.google.protobuf.Message.BuilderbuildPartial in interface com.google.protobuf.MessageLite.Builderpublic Schema.Builder clone()
clone in interface com.google.protobuf.Message.Builderclone in interface com.google.protobuf.MessageLite.Builderclone in class com.google.protobuf.GeneratedMessageV3.Builder<Schema.Builder>public Schema.Builder setField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
setField in interface com.google.protobuf.Message.BuildersetField in class com.google.protobuf.GeneratedMessageV3.Builder<Schema.Builder>public Schema.Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field)
clearField in interface com.google.protobuf.Message.BuilderclearField in class com.google.protobuf.GeneratedMessageV3.Builder<Schema.Builder>public Schema.Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof)
clearOneof in interface com.google.protobuf.Message.BuilderclearOneof in class com.google.protobuf.GeneratedMessageV3.Builder<Schema.Builder>public Schema.Builder setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, int index, Object value)
setRepeatedField in interface com.google.protobuf.Message.BuildersetRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<Schema.Builder>public Schema.Builder addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
addRepeatedField in interface com.google.protobuf.Message.BuilderaddRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<Schema.Builder>public Schema.Builder mergeFrom(com.google.protobuf.Message other)
mergeFrom in interface com.google.protobuf.Message.BuildermergeFrom in class com.google.protobuf.AbstractMessage.Builder<Schema.Builder>public Schema.Builder mergeFrom(Schema other)
public final boolean isInitialized()
isInitialized in interface com.google.protobuf.MessageLiteOrBuilderisInitialized in class com.google.protobuf.GeneratedMessageV3.Builder<Schema.Builder>public Schema.Builder mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
mergeFrom in interface com.google.protobuf.Message.BuildermergeFrom in interface com.google.protobuf.MessageLite.BuildermergeFrom in class com.google.protobuf.AbstractMessage.Builder<Schema.Builder>IOExceptionpublic List<Feature> getFeatureList()
Features described in this schema.
repeated .tensorflow.metadata.v0.Feature feature = 1;getFeatureList in interface SchemaOrBuilderpublic int getFeatureCount()
Features described in this schema.
repeated .tensorflow.metadata.v0.Feature feature = 1;getFeatureCount in interface SchemaOrBuilderpublic Feature getFeature(int index)
Features described in this schema.
repeated .tensorflow.metadata.v0.Feature feature = 1;getFeature in interface SchemaOrBuilderpublic Schema.Builder setFeature(int index, Feature value)
Features described in this schema.
repeated .tensorflow.metadata.v0.Feature feature = 1;public Schema.Builder setFeature(int index, Feature.Builder builderForValue)
Features described in this schema.
repeated .tensorflow.metadata.v0.Feature feature = 1;public Schema.Builder addFeature(Feature value)
Features described in this schema.
repeated .tensorflow.metadata.v0.Feature feature = 1;public Schema.Builder addFeature(int index, Feature value)
Features described in this schema.
repeated .tensorflow.metadata.v0.Feature feature = 1;public Schema.Builder addFeature(Feature.Builder builderForValue)
Features described in this schema.
repeated .tensorflow.metadata.v0.Feature feature = 1;public Schema.Builder addFeature(int index, Feature.Builder builderForValue)
Features described in this schema.
repeated .tensorflow.metadata.v0.Feature feature = 1;public Schema.Builder addAllFeature(Iterable<? extends Feature> values)
Features described in this schema.
repeated .tensorflow.metadata.v0.Feature feature = 1;public Schema.Builder clearFeature()
Features described in this schema.
repeated .tensorflow.metadata.v0.Feature feature = 1;public Schema.Builder removeFeature(int index)
Features described in this schema.
repeated .tensorflow.metadata.v0.Feature feature = 1;public Feature.Builder getFeatureBuilder(int index)
Features described in this schema.
repeated .tensorflow.metadata.v0.Feature feature = 1;public FeatureOrBuilder getFeatureOrBuilder(int index)
Features described in this schema.
repeated .tensorflow.metadata.v0.Feature feature = 1;getFeatureOrBuilder in interface SchemaOrBuilderpublic List<? extends FeatureOrBuilder> getFeatureOrBuilderList()
Features described in this schema.
repeated .tensorflow.metadata.v0.Feature feature = 1;getFeatureOrBuilderList in interface SchemaOrBuilderpublic Feature.Builder addFeatureBuilder()
Features described in this schema.
repeated .tensorflow.metadata.v0.Feature feature = 1;public Feature.Builder addFeatureBuilder(int index)
Features described in this schema.
repeated .tensorflow.metadata.v0.Feature feature = 1;public List<Feature.Builder> getFeatureBuilderList()
Features described in this schema.
repeated .tensorflow.metadata.v0.Feature feature = 1;public List<SparseFeature> getSparseFeatureList()
Sparse features described in this schema.
repeated .tensorflow.metadata.v0.SparseFeature sparse_feature = 6;getSparseFeatureList in interface SchemaOrBuilderpublic int getSparseFeatureCount()
Sparse features described in this schema.
repeated .tensorflow.metadata.v0.SparseFeature sparse_feature = 6;getSparseFeatureCount in interface SchemaOrBuilderpublic SparseFeature getSparseFeature(int index)
Sparse features described in this schema.
repeated .tensorflow.metadata.v0.SparseFeature sparse_feature = 6;getSparseFeature in interface SchemaOrBuilderpublic Schema.Builder setSparseFeature(int index, SparseFeature value)
Sparse features described in this schema.
repeated .tensorflow.metadata.v0.SparseFeature sparse_feature = 6;public Schema.Builder setSparseFeature(int index, SparseFeature.Builder builderForValue)
Sparse features described in this schema.
repeated .tensorflow.metadata.v0.SparseFeature sparse_feature = 6;public Schema.Builder addSparseFeature(SparseFeature value)
Sparse features described in this schema.
repeated .tensorflow.metadata.v0.SparseFeature sparse_feature = 6;public Schema.Builder addSparseFeature(int index, SparseFeature value)
Sparse features described in this schema.
repeated .tensorflow.metadata.v0.SparseFeature sparse_feature = 6;public Schema.Builder addSparseFeature(SparseFeature.Builder builderForValue)
Sparse features described in this schema.
repeated .tensorflow.metadata.v0.SparseFeature sparse_feature = 6;public Schema.Builder addSparseFeature(int index, SparseFeature.Builder builderForValue)
Sparse features described in this schema.
repeated .tensorflow.metadata.v0.SparseFeature sparse_feature = 6;public Schema.Builder addAllSparseFeature(Iterable<? extends SparseFeature> values)
Sparse features described in this schema.
repeated .tensorflow.metadata.v0.SparseFeature sparse_feature = 6;public Schema.Builder clearSparseFeature()
Sparse features described in this schema.
repeated .tensorflow.metadata.v0.SparseFeature sparse_feature = 6;public Schema.Builder removeSparseFeature(int index)
Sparse features described in this schema.
repeated .tensorflow.metadata.v0.SparseFeature sparse_feature = 6;public SparseFeature.Builder getSparseFeatureBuilder(int index)
Sparse features described in this schema.
repeated .tensorflow.metadata.v0.SparseFeature sparse_feature = 6;public SparseFeatureOrBuilder getSparseFeatureOrBuilder(int index)
Sparse features described in this schema.
repeated .tensorflow.metadata.v0.SparseFeature sparse_feature = 6;getSparseFeatureOrBuilder in interface SchemaOrBuilderpublic List<? extends SparseFeatureOrBuilder> getSparseFeatureOrBuilderList()
Sparse features described in this schema.
repeated .tensorflow.metadata.v0.SparseFeature sparse_feature = 6;getSparseFeatureOrBuilderList in interface SchemaOrBuilderpublic SparseFeature.Builder addSparseFeatureBuilder()
Sparse features described in this schema.
repeated .tensorflow.metadata.v0.SparseFeature sparse_feature = 6;public SparseFeature.Builder addSparseFeatureBuilder(int index)
Sparse features described in this schema.
repeated .tensorflow.metadata.v0.SparseFeature sparse_feature = 6;public List<SparseFeature.Builder> getSparseFeatureBuilderList()
Sparse features described in this schema.
repeated .tensorflow.metadata.v0.SparseFeature sparse_feature = 6;public List<WeightedFeature> getWeightedFeatureList()
Weighted features described in this schema.
repeated .tensorflow.metadata.v0.WeightedFeature weighted_feature = 12;getWeightedFeatureList in interface SchemaOrBuilderpublic int getWeightedFeatureCount()
Weighted features described in this schema.
repeated .tensorflow.metadata.v0.WeightedFeature weighted_feature = 12;getWeightedFeatureCount in interface SchemaOrBuilderpublic WeightedFeature getWeightedFeature(int index)
Weighted features described in this schema.
repeated .tensorflow.metadata.v0.WeightedFeature weighted_feature = 12;getWeightedFeature in interface SchemaOrBuilderpublic Schema.Builder setWeightedFeature(int index, WeightedFeature value)
Weighted features described in this schema.
repeated .tensorflow.metadata.v0.WeightedFeature weighted_feature = 12;public Schema.Builder setWeightedFeature(int index, WeightedFeature.Builder builderForValue)
Weighted features described in this schema.
repeated .tensorflow.metadata.v0.WeightedFeature weighted_feature = 12;public Schema.Builder addWeightedFeature(WeightedFeature value)
Weighted features described in this schema.
repeated .tensorflow.metadata.v0.WeightedFeature weighted_feature = 12;public Schema.Builder addWeightedFeature(int index, WeightedFeature value)
Weighted features described in this schema.
repeated .tensorflow.metadata.v0.WeightedFeature weighted_feature = 12;public Schema.Builder addWeightedFeature(WeightedFeature.Builder builderForValue)
Weighted features described in this schema.
repeated .tensorflow.metadata.v0.WeightedFeature weighted_feature = 12;public Schema.Builder addWeightedFeature(int index, WeightedFeature.Builder builderForValue)
Weighted features described in this schema.
repeated .tensorflow.metadata.v0.WeightedFeature weighted_feature = 12;public Schema.Builder addAllWeightedFeature(Iterable<? extends WeightedFeature> values)
Weighted features described in this schema.
repeated .tensorflow.metadata.v0.WeightedFeature weighted_feature = 12;public Schema.Builder clearWeightedFeature()
Weighted features described in this schema.
repeated .tensorflow.metadata.v0.WeightedFeature weighted_feature = 12;public Schema.Builder removeWeightedFeature(int index)
Weighted features described in this schema.
repeated .tensorflow.metadata.v0.WeightedFeature weighted_feature = 12;public WeightedFeature.Builder getWeightedFeatureBuilder(int index)
Weighted features described in this schema.
repeated .tensorflow.metadata.v0.WeightedFeature weighted_feature = 12;public WeightedFeatureOrBuilder getWeightedFeatureOrBuilder(int index)
Weighted features described in this schema.
repeated .tensorflow.metadata.v0.WeightedFeature weighted_feature = 12;getWeightedFeatureOrBuilder in interface SchemaOrBuilderpublic List<? extends WeightedFeatureOrBuilder> getWeightedFeatureOrBuilderList()
Weighted features described in this schema.
repeated .tensorflow.metadata.v0.WeightedFeature weighted_feature = 12;getWeightedFeatureOrBuilderList in interface SchemaOrBuilderpublic WeightedFeature.Builder addWeightedFeatureBuilder()
Weighted features described in this schema.
repeated .tensorflow.metadata.v0.WeightedFeature weighted_feature = 12;public WeightedFeature.Builder addWeightedFeatureBuilder(int index)
Weighted features described in this schema.
repeated .tensorflow.metadata.v0.WeightedFeature weighted_feature = 12;public List<WeightedFeature.Builder> getWeightedFeatureBuilderList()
Weighted features described in this schema.
repeated .tensorflow.metadata.v0.WeightedFeature weighted_feature = 12;public List<StringDomain> getStringDomainList()
declared as top-level features in <feature>. String domains referenced in the features.
repeated .tensorflow.metadata.v0.StringDomain string_domain = 4;getStringDomainList in interface SchemaOrBuilderpublic int getStringDomainCount()
declared as top-level features in <feature>. String domains referenced in the features.
repeated .tensorflow.metadata.v0.StringDomain string_domain = 4;getStringDomainCount in interface SchemaOrBuilderpublic StringDomain getStringDomain(int index)
declared as top-level features in <feature>. String domains referenced in the features.
repeated .tensorflow.metadata.v0.StringDomain string_domain = 4;getStringDomain in interface SchemaOrBuilderpublic Schema.Builder setStringDomain(int index, StringDomain value)
declared as top-level features in <feature>. String domains referenced in the features.
repeated .tensorflow.metadata.v0.StringDomain string_domain = 4;public Schema.Builder setStringDomain(int index, StringDomain.Builder builderForValue)
declared as top-level features in <feature>. String domains referenced in the features.
repeated .tensorflow.metadata.v0.StringDomain string_domain = 4;public Schema.Builder addStringDomain(StringDomain value)
declared as top-level features in <feature>. String domains referenced in the features.
repeated .tensorflow.metadata.v0.StringDomain string_domain = 4;public Schema.Builder addStringDomain(int index, StringDomain value)
declared as top-level features in <feature>. String domains referenced in the features.
repeated .tensorflow.metadata.v0.StringDomain string_domain = 4;public Schema.Builder addStringDomain(StringDomain.Builder builderForValue)
declared as top-level features in <feature>. String domains referenced in the features.
repeated .tensorflow.metadata.v0.StringDomain string_domain = 4;public Schema.Builder addStringDomain(int index, StringDomain.Builder builderForValue)
declared as top-level features in <feature>. String domains referenced in the features.
repeated .tensorflow.metadata.v0.StringDomain string_domain = 4;public Schema.Builder addAllStringDomain(Iterable<? extends StringDomain> values)
declared as top-level features in <feature>. String domains referenced in the features.
repeated .tensorflow.metadata.v0.StringDomain string_domain = 4;public Schema.Builder clearStringDomain()
declared as top-level features in <feature>. String domains referenced in the features.
repeated .tensorflow.metadata.v0.StringDomain string_domain = 4;public Schema.Builder removeStringDomain(int index)
declared as top-level features in <feature>. String domains referenced in the features.
repeated .tensorflow.metadata.v0.StringDomain string_domain = 4;public StringDomain.Builder getStringDomainBuilder(int index)
declared as top-level features in <feature>. String domains referenced in the features.
repeated .tensorflow.metadata.v0.StringDomain string_domain = 4;public StringDomainOrBuilder getStringDomainOrBuilder(int index)
declared as top-level features in <feature>. String domains referenced in the features.
repeated .tensorflow.metadata.v0.StringDomain string_domain = 4;getStringDomainOrBuilder in interface SchemaOrBuilderpublic List<? extends StringDomainOrBuilder> getStringDomainOrBuilderList()
declared as top-level features in <feature>. String domains referenced in the features.
repeated .tensorflow.metadata.v0.StringDomain string_domain = 4;getStringDomainOrBuilderList in interface SchemaOrBuilderpublic StringDomain.Builder addStringDomainBuilder()
declared as top-level features in <feature>. String domains referenced in the features.
repeated .tensorflow.metadata.v0.StringDomain string_domain = 4;public StringDomain.Builder addStringDomainBuilder(int index)
declared as top-level features in <feature>. String domains referenced in the features.
repeated .tensorflow.metadata.v0.StringDomain string_domain = 4;public List<StringDomain.Builder> getStringDomainBuilderList()
declared as top-level features in <feature>. String domains referenced in the features.
repeated .tensorflow.metadata.v0.StringDomain string_domain = 4;public List<FloatDomain> getFloatDomainList()
top level float domains that can be reused by features
repeated .tensorflow.metadata.v0.FloatDomain float_domain = 9;getFloatDomainList in interface SchemaOrBuilderpublic int getFloatDomainCount()
top level float domains that can be reused by features
repeated .tensorflow.metadata.v0.FloatDomain float_domain = 9;getFloatDomainCount in interface SchemaOrBuilderpublic FloatDomain getFloatDomain(int index)
top level float domains that can be reused by features
repeated .tensorflow.metadata.v0.FloatDomain float_domain = 9;getFloatDomain in interface SchemaOrBuilderpublic Schema.Builder setFloatDomain(int index, FloatDomain value)
top level float domains that can be reused by features
repeated .tensorflow.metadata.v0.FloatDomain float_domain = 9;public Schema.Builder setFloatDomain(int index, FloatDomain.Builder builderForValue)
top level float domains that can be reused by features
repeated .tensorflow.metadata.v0.FloatDomain float_domain = 9;public Schema.Builder addFloatDomain(FloatDomain value)
top level float domains that can be reused by features
repeated .tensorflow.metadata.v0.FloatDomain float_domain = 9;public Schema.Builder addFloatDomain(int index, FloatDomain value)
top level float domains that can be reused by features
repeated .tensorflow.metadata.v0.FloatDomain float_domain = 9;public Schema.Builder addFloatDomain(FloatDomain.Builder builderForValue)
top level float domains that can be reused by features
repeated .tensorflow.metadata.v0.FloatDomain float_domain = 9;public Schema.Builder addFloatDomain(int index, FloatDomain.Builder builderForValue)
top level float domains that can be reused by features
repeated .tensorflow.metadata.v0.FloatDomain float_domain = 9;public Schema.Builder addAllFloatDomain(Iterable<? extends FloatDomain> values)
top level float domains that can be reused by features
repeated .tensorflow.metadata.v0.FloatDomain float_domain = 9;public Schema.Builder clearFloatDomain()
top level float domains that can be reused by features
repeated .tensorflow.metadata.v0.FloatDomain float_domain = 9;public Schema.Builder removeFloatDomain(int index)
top level float domains that can be reused by features
repeated .tensorflow.metadata.v0.FloatDomain float_domain = 9;public FloatDomain.Builder getFloatDomainBuilder(int index)
top level float domains that can be reused by features
repeated .tensorflow.metadata.v0.FloatDomain float_domain = 9;public FloatDomainOrBuilder getFloatDomainOrBuilder(int index)
top level float domains that can be reused by features
repeated .tensorflow.metadata.v0.FloatDomain float_domain = 9;getFloatDomainOrBuilder in interface SchemaOrBuilderpublic List<? extends FloatDomainOrBuilder> getFloatDomainOrBuilderList()
top level float domains that can be reused by features
repeated .tensorflow.metadata.v0.FloatDomain float_domain = 9;getFloatDomainOrBuilderList in interface SchemaOrBuilderpublic FloatDomain.Builder addFloatDomainBuilder()
top level float domains that can be reused by features
repeated .tensorflow.metadata.v0.FloatDomain float_domain = 9;public FloatDomain.Builder addFloatDomainBuilder(int index)
top level float domains that can be reused by features
repeated .tensorflow.metadata.v0.FloatDomain float_domain = 9;public List<FloatDomain.Builder> getFloatDomainBuilderList()
top level float domains that can be reused by features
repeated .tensorflow.metadata.v0.FloatDomain float_domain = 9;public List<IntDomain> getIntDomainList()
top level int domains that can be reused by features
repeated .tensorflow.metadata.v0.IntDomain int_domain = 10;getIntDomainList in interface SchemaOrBuilderpublic int getIntDomainCount()
top level int domains that can be reused by features
repeated .tensorflow.metadata.v0.IntDomain int_domain = 10;getIntDomainCount in interface SchemaOrBuilderpublic IntDomain getIntDomain(int index)
top level int domains that can be reused by features
repeated .tensorflow.metadata.v0.IntDomain int_domain = 10;getIntDomain in interface SchemaOrBuilderpublic Schema.Builder setIntDomain(int index, IntDomain value)
top level int domains that can be reused by features
repeated .tensorflow.metadata.v0.IntDomain int_domain = 10;public Schema.Builder setIntDomain(int index, IntDomain.Builder builderForValue)
top level int domains that can be reused by features
repeated .tensorflow.metadata.v0.IntDomain int_domain = 10;public Schema.Builder addIntDomain(IntDomain value)
top level int domains that can be reused by features
repeated .tensorflow.metadata.v0.IntDomain int_domain = 10;public Schema.Builder addIntDomain(int index, IntDomain value)
top level int domains that can be reused by features
repeated .tensorflow.metadata.v0.IntDomain int_domain = 10;public Schema.Builder addIntDomain(IntDomain.Builder builderForValue)
top level int domains that can be reused by features
repeated .tensorflow.metadata.v0.IntDomain int_domain = 10;public Schema.Builder addIntDomain(int index, IntDomain.Builder builderForValue)
top level int domains that can be reused by features
repeated .tensorflow.metadata.v0.IntDomain int_domain = 10;public Schema.Builder addAllIntDomain(Iterable<? extends IntDomain> values)
top level int domains that can be reused by features
repeated .tensorflow.metadata.v0.IntDomain int_domain = 10;public Schema.Builder clearIntDomain()
top level int domains that can be reused by features
repeated .tensorflow.metadata.v0.IntDomain int_domain = 10;public Schema.Builder removeIntDomain(int index)
top level int domains that can be reused by features
repeated .tensorflow.metadata.v0.IntDomain int_domain = 10;public IntDomain.Builder getIntDomainBuilder(int index)
top level int domains that can be reused by features
repeated .tensorflow.metadata.v0.IntDomain int_domain = 10;public IntDomainOrBuilder getIntDomainOrBuilder(int index)
top level int domains that can be reused by features
repeated .tensorflow.metadata.v0.IntDomain int_domain = 10;getIntDomainOrBuilder in interface SchemaOrBuilderpublic List<? extends IntDomainOrBuilder> getIntDomainOrBuilderList()
top level int domains that can be reused by features
repeated .tensorflow.metadata.v0.IntDomain int_domain = 10;getIntDomainOrBuilderList in interface SchemaOrBuilderpublic IntDomain.Builder addIntDomainBuilder()
top level int domains that can be reused by features
repeated .tensorflow.metadata.v0.IntDomain int_domain = 10;public IntDomain.Builder addIntDomainBuilder(int index)
top level int domains that can be reused by features
repeated .tensorflow.metadata.v0.IntDomain int_domain = 10;public List<IntDomain.Builder> getIntDomainBuilderList()
top level int domains that can be reused by features
repeated .tensorflow.metadata.v0.IntDomain int_domain = 10;public com.google.protobuf.ProtocolStringList getDefaultEnvironmentList()
Default environments for each feature.
An environment represents both a type of location (e.g. a server or phone)
and a time (e.g. right before model X is run). In the standard scenario,
99% of the features should be in the default environments TRAINING,
SERVING, and the LABEL (or labels) AND WEIGHT is only available at TRAINING
(not at serving).
Other possible variations:
1. There may be TRAINING_MOBILE, SERVING_MOBILE, TRAINING_SERVICE,
and SERVING_SERVICE.
2. If one is ensembling three models, where the predictions of the first
three models are available for the ensemble model, there may be
TRAINING, SERVING_INITIAL, SERVING_ENSEMBLE.
See FeatureProto::not_in_environment and FeatureProto::in_environment.
repeated string default_environment = 5;getDefaultEnvironmentList in interface SchemaOrBuilderpublic int getDefaultEnvironmentCount()
Default environments for each feature.
An environment represents both a type of location (e.g. a server or phone)
and a time (e.g. right before model X is run). In the standard scenario,
99% of the features should be in the default environments TRAINING,
SERVING, and the LABEL (or labels) AND WEIGHT is only available at TRAINING
(not at serving).
Other possible variations:
1. There may be TRAINING_MOBILE, SERVING_MOBILE, TRAINING_SERVICE,
and SERVING_SERVICE.
2. If one is ensembling three models, where the predictions of the first
three models are available for the ensemble model, there may be
TRAINING, SERVING_INITIAL, SERVING_ENSEMBLE.
See FeatureProto::not_in_environment and FeatureProto::in_environment.
repeated string default_environment = 5;getDefaultEnvironmentCount in interface SchemaOrBuilderpublic String getDefaultEnvironment(int index)
Default environments for each feature.
An environment represents both a type of location (e.g. a server or phone)
and a time (e.g. right before model X is run). In the standard scenario,
99% of the features should be in the default environments TRAINING,
SERVING, and the LABEL (or labels) AND WEIGHT is only available at TRAINING
(not at serving).
Other possible variations:
1. There may be TRAINING_MOBILE, SERVING_MOBILE, TRAINING_SERVICE,
and SERVING_SERVICE.
2. If one is ensembling three models, where the predictions of the first
three models are available for the ensemble model, there may be
TRAINING, SERVING_INITIAL, SERVING_ENSEMBLE.
See FeatureProto::not_in_environment and FeatureProto::in_environment.
repeated string default_environment = 5;getDefaultEnvironment in interface SchemaOrBuilderindex - The index of the element to return.public com.google.protobuf.ByteString getDefaultEnvironmentBytes(int index)
Default environments for each feature.
An environment represents both a type of location (e.g. a server or phone)
and a time (e.g. right before model X is run). In the standard scenario,
99% of the features should be in the default environments TRAINING,
SERVING, and the LABEL (or labels) AND WEIGHT is only available at TRAINING
(not at serving).
Other possible variations:
1. There may be TRAINING_MOBILE, SERVING_MOBILE, TRAINING_SERVICE,
and SERVING_SERVICE.
2. If one is ensembling three models, where the predictions of the first
three models are available for the ensemble model, there may be
TRAINING, SERVING_INITIAL, SERVING_ENSEMBLE.
See FeatureProto::not_in_environment and FeatureProto::in_environment.
repeated string default_environment = 5;getDefaultEnvironmentBytes in interface SchemaOrBuilderindex - The index of the value to return.public Schema.Builder setDefaultEnvironment(int index, String value)
Default environments for each feature.
An environment represents both a type of location (e.g. a server or phone)
and a time (e.g. right before model X is run). In the standard scenario,
99% of the features should be in the default environments TRAINING,
SERVING, and the LABEL (or labels) AND WEIGHT is only available at TRAINING
(not at serving).
Other possible variations:
1. There may be TRAINING_MOBILE, SERVING_MOBILE, TRAINING_SERVICE,
and SERVING_SERVICE.
2. If one is ensembling three models, where the predictions of the first
three models are available for the ensemble model, there may be
TRAINING, SERVING_INITIAL, SERVING_ENSEMBLE.
See FeatureProto::not_in_environment and FeatureProto::in_environment.
repeated string default_environment = 5;index - The index to set the value at.value - The defaultEnvironment to set.public Schema.Builder addDefaultEnvironment(String value)
Default environments for each feature.
An environment represents both a type of location (e.g. a server or phone)
and a time (e.g. right before model X is run). In the standard scenario,
99% of the features should be in the default environments TRAINING,
SERVING, and the LABEL (or labels) AND WEIGHT is only available at TRAINING
(not at serving).
Other possible variations:
1. There may be TRAINING_MOBILE, SERVING_MOBILE, TRAINING_SERVICE,
and SERVING_SERVICE.
2. If one is ensembling three models, where the predictions of the first
three models are available for the ensemble model, there may be
TRAINING, SERVING_INITIAL, SERVING_ENSEMBLE.
See FeatureProto::not_in_environment and FeatureProto::in_environment.
repeated string default_environment = 5;value - The defaultEnvironment to add.public Schema.Builder addAllDefaultEnvironment(Iterable<String> values)
Default environments for each feature.
An environment represents both a type of location (e.g. a server or phone)
and a time (e.g. right before model X is run). In the standard scenario,
99% of the features should be in the default environments TRAINING,
SERVING, and the LABEL (or labels) AND WEIGHT is only available at TRAINING
(not at serving).
Other possible variations:
1. There may be TRAINING_MOBILE, SERVING_MOBILE, TRAINING_SERVICE,
and SERVING_SERVICE.
2. If one is ensembling three models, where the predictions of the first
three models are available for the ensemble model, there may be
TRAINING, SERVING_INITIAL, SERVING_ENSEMBLE.
See FeatureProto::not_in_environment and FeatureProto::in_environment.
repeated string default_environment = 5;values - The defaultEnvironment to add.public Schema.Builder clearDefaultEnvironment()
Default environments for each feature.
An environment represents both a type of location (e.g. a server or phone)
and a time (e.g. right before model X is run). In the standard scenario,
99% of the features should be in the default environments TRAINING,
SERVING, and the LABEL (or labels) AND WEIGHT is only available at TRAINING
(not at serving).
Other possible variations:
1. There may be TRAINING_MOBILE, SERVING_MOBILE, TRAINING_SERVICE,
and SERVING_SERVICE.
2. If one is ensembling three models, where the predictions of the first
three models are available for the ensemble model, there may be
TRAINING, SERVING_INITIAL, SERVING_ENSEMBLE.
See FeatureProto::not_in_environment and FeatureProto::in_environment.
repeated string default_environment = 5;public Schema.Builder addDefaultEnvironmentBytes(com.google.protobuf.ByteString value)
Default environments for each feature.
An environment represents both a type of location (e.g. a server or phone)
and a time (e.g. right before model X is run). In the standard scenario,
99% of the features should be in the default environments TRAINING,
SERVING, and the LABEL (or labels) AND WEIGHT is only available at TRAINING
(not at serving).
Other possible variations:
1. There may be TRAINING_MOBILE, SERVING_MOBILE, TRAINING_SERVICE,
and SERVING_SERVICE.
2. If one is ensembling three models, where the predictions of the first
three models are available for the ensemble model, there may be
TRAINING, SERVING_INITIAL, SERVING_ENSEMBLE.
See FeatureProto::not_in_environment and FeatureProto::in_environment.
repeated string default_environment = 5;value - The bytes of the defaultEnvironment to add.public boolean hasAnnotation()
Additional information about the schema as a whole. Features may also be annotated individually.
optional .tensorflow.metadata.v0.Annotation annotation = 8;hasAnnotation in interface SchemaOrBuilderpublic Annotation getAnnotation()
Additional information about the schema as a whole. Features may also be annotated individually.
optional .tensorflow.metadata.v0.Annotation annotation = 8;getAnnotation in interface SchemaOrBuilderpublic Schema.Builder setAnnotation(Annotation value)
Additional information about the schema as a whole. Features may also be annotated individually.
optional .tensorflow.metadata.v0.Annotation annotation = 8;public Schema.Builder setAnnotation(Annotation.Builder builderForValue)
Additional information about the schema as a whole. Features may also be annotated individually.
optional .tensorflow.metadata.v0.Annotation annotation = 8;public Schema.Builder mergeAnnotation(Annotation value)
Additional information about the schema as a whole. Features may also be annotated individually.
optional .tensorflow.metadata.v0.Annotation annotation = 8;public Schema.Builder clearAnnotation()
Additional information about the schema as a whole. Features may also be annotated individually.
optional .tensorflow.metadata.v0.Annotation annotation = 8;public Annotation.Builder getAnnotationBuilder()
Additional information about the schema as a whole. Features may also be annotated individually.
optional .tensorflow.metadata.v0.Annotation annotation = 8;public AnnotationOrBuilder getAnnotationOrBuilder()
Additional information about the schema as a whole. Features may also be annotated individually.
optional .tensorflow.metadata.v0.Annotation annotation = 8;getAnnotationOrBuilder in interface SchemaOrBuilderpublic boolean hasDatasetConstraints()
Dataset-level constraints. This is currently used for specifying information about changes in num_examples.
optional .tensorflow.metadata.v0.DatasetConstraints dataset_constraints = 11;hasDatasetConstraints in interface SchemaOrBuilderpublic DatasetConstraints getDatasetConstraints()
Dataset-level constraints. This is currently used for specifying information about changes in num_examples.
optional .tensorflow.metadata.v0.DatasetConstraints dataset_constraints = 11;getDatasetConstraints in interface SchemaOrBuilderpublic Schema.Builder setDatasetConstraints(DatasetConstraints value)
Dataset-level constraints. This is currently used for specifying information about changes in num_examples.
optional .tensorflow.metadata.v0.DatasetConstraints dataset_constraints = 11;public Schema.Builder setDatasetConstraints(DatasetConstraints.Builder builderForValue)
Dataset-level constraints. This is currently used for specifying information about changes in num_examples.
optional .tensorflow.metadata.v0.DatasetConstraints dataset_constraints = 11;public Schema.Builder mergeDatasetConstraints(DatasetConstraints value)
Dataset-level constraints. This is currently used for specifying information about changes in num_examples.
optional .tensorflow.metadata.v0.DatasetConstraints dataset_constraints = 11;public Schema.Builder clearDatasetConstraints()
Dataset-level constraints. This is currently used for specifying information about changes in num_examples.
optional .tensorflow.metadata.v0.DatasetConstraints dataset_constraints = 11;public DatasetConstraints.Builder getDatasetConstraintsBuilder()
Dataset-level constraints. This is currently used for specifying information about changes in num_examples.
optional .tensorflow.metadata.v0.DatasetConstraints dataset_constraints = 11;public DatasetConstraintsOrBuilder getDatasetConstraintsOrBuilder()
Dataset-level constraints. This is currently used for specifying information about changes in num_examples.
optional .tensorflow.metadata.v0.DatasetConstraints dataset_constraints = 11;getDatasetConstraintsOrBuilder in interface SchemaOrBuilderpublic int getTensorRepresentationGroupCount()
SchemaOrBuilderTensorRepresentation groups. The keys are the names of the groups. Key "" (empty string) denotes the "default" group, which is what should be used when a group name is not provided. See the documentation at TensorRepresentationGroup for more info. Under development. DO NOT USE.
map<string, .tensorflow.metadata.v0.TensorRepresentationGroup> tensor_representation_group = 13;getTensorRepresentationGroupCount in interface SchemaOrBuilderpublic boolean containsTensorRepresentationGroup(String key)
TensorRepresentation groups. The keys are the names of the groups. Key "" (empty string) denotes the "default" group, which is what should be used when a group name is not provided. See the documentation at TensorRepresentationGroup for more info. Under development. DO NOT USE.
map<string, .tensorflow.metadata.v0.TensorRepresentationGroup> tensor_representation_group = 13;containsTensorRepresentationGroup in interface SchemaOrBuilder@Deprecated public Map<String,TensorRepresentationGroup> getTensorRepresentationGroup()
getTensorRepresentationGroupMap() instead.getTensorRepresentationGroup in interface SchemaOrBuilderpublic Map<String,TensorRepresentationGroup> getTensorRepresentationGroupMap()
TensorRepresentation groups. The keys are the names of the groups. Key "" (empty string) denotes the "default" group, which is what should be used when a group name is not provided. See the documentation at TensorRepresentationGroup for more info. Under development. DO NOT USE.
map<string, .tensorflow.metadata.v0.TensorRepresentationGroup> tensor_representation_group = 13;getTensorRepresentationGroupMap in interface SchemaOrBuilderpublic TensorRepresentationGroup getTensorRepresentationGroupOrDefault(String key, TensorRepresentationGroup defaultValue)
TensorRepresentation groups. The keys are the names of the groups. Key "" (empty string) denotes the "default" group, which is what should be used when a group name is not provided. See the documentation at TensorRepresentationGroup for more info. Under development. DO NOT USE.
map<string, .tensorflow.metadata.v0.TensorRepresentationGroup> tensor_representation_group = 13;getTensorRepresentationGroupOrDefault in interface SchemaOrBuilderpublic TensorRepresentationGroup getTensorRepresentationGroupOrThrow(String key)
TensorRepresentation groups. The keys are the names of the groups. Key "" (empty string) denotes the "default" group, which is what should be used when a group name is not provided. See the documentation at TensorRepresentationGroup for more info. Under development. DO NOT USE.
map<string, .tensorflow.metadata.v0.TensorRepresentationGroup> tensor_representation_group = 13;getTensorRepresentationGroupOrThrow in interface SchemaOrBuilderpublic Schema.Builder clearTensorRepresentationGroup()
public Schema.Builder removeTensorRepresentationGroup(String key)
TensorRepresentation groups. The keys are the names of the groups. Key "" (empty string) denotes the "default" group, which is what should be used when a group name is not provided. See the documentation at TensorRepresentationGroup for more info. Under development. DO NOT USE.
map<string, .tensorflow.metadata.v0.TensorRepresentationGroup> tensor_representation_group = 13;@Deprecated public Map<String,TensorRepresentationGroup> getMutableTensorRepresentationGroup()
public Schema.Builder putTensorRepresentationGroup(String key, TensorRepresentationGroup value)
TensorRepresentation groups. The keys are the names of the groups. Key "" (empty string) denotes the "default" group, which is what should be used when a group name is not provided. See the documentation at TensorRepresentationGroup for more info. Under development. DO NOT USE.
map<string, .tensorflow.metadata.v0.TensorRepresentationGroup> tensor_representation_group = 13;public Schema.Builder putAllTensorRepresentationGroup(Map<String,TensorRepresentationGroup> values)
TensorRepresentation groups. The keys are the names of the groups. Key "" (empty string) denotes the "default" group, which is what should be used when a group name is not provided. See the documentation at TensorRepresentationGroup for more info. Under development. DO NOT USE.
map<string, .tensorflow.metadata.v0.TensorRepresentationGroup> tensor_representation_group = 13;public final Schema.Builder setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
setUnknownFields in interface com.google.protobuf.Message.BuildersetUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<Schema.Builder>public final Schema.Builder mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
mergeUnknownFields in interface com.google.protobuf.Message.BuildermergeUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<Schema.Builder>Copyright © 2020 Gojek. All rights reserved.