Packages

final class Feature extends GeneratedMessageV3 with FeatureOrBuilder

Describes schema-level information about a specific feature.
NextID: 33

Protobuf type tensorflow.metadata.v0.Feature

Linear Supertypes
FeatureOrBuilder, GeneratedMessageV3, Serializable, AbstractMessage, Message, MessageOrBuilder, AbstractMessageLite[MessageType, BuilderType], MessageLite, MessageLiteOrBuilder, AnyRef, Any
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  1. Feature
  2. FeatureOrBuilder
  3. GeneratedMessageV3
  4. Serializable
  5. AbstractMessage
  6. Message
  7. MessageOrBuilder
  8. AbstractMessageLite
  9. MessageLite
  10. MessageLiteOrBuilder
  11. AnyRef
  12. Any
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Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##: Int
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  4. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  5. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.CloneNotSupportedException]) @native() @HotSpotIntrinsicCandidate()
  6. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  7. def equals(obj: AnyRef): Boolean
    Definition Classes
    Feature → AbstractMessage → Message → AnyRef → Any
    Annotations
    @Override()
  8. def findInitializationErrors(): List[String]
    Definition Classes
    AbstractMessage → MessageOrBuilder
  9. def getAllFields(): Map[FieldDescriptor, AnyRef]
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  10. def getAnnotation(): Annotation

    Additional information about the feature for documentation purpose.


    Additional information about the feature for documentation purpose.

    optional .tensorflow.metadata.v0.Annotation annotation = 16;

    returns

    The annotation.

    Definition Classes
    Feature → FeatureOrBuilder
  11. def getAnnotationOrBuilder(): AnnotationOrBuilder

    Additional information about the feature for documentation purpose.


    Additional information about the feature for documentation purpose.

    optional .tensorflow.metadata.v0.Annotation annotation = 16;

    Definition Classes
    Feature → FeatureOrBuilder
  12. def getBoolDomain(): BoolDomain

    optional .tensorflow.metadata.v0.BoolDomain bool_domain = 13;

    optional .tensorflow.metadata.v0.BoolDomain bool_domain = 13;

    returns

    The boolDomain.

    Definition Classes
    Feature → FeatureOrBuilder
  13. def getBoolDomainOrBuilder(): BoolDomainOrBuilder

    optional .tensorflow.metadata.v0.BoolDomain bool_domain = 13;

    optional .tensorflow.metadata.v0.BoolDomain bool_domain = 13;

    Definition Classes
    Feature → FeatureOrBuilder
  14. final def getClass(): Class[_ <: AnyRef]
    Definition Classes
    AnyRef → Any
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  15. def getDefaultInstanceForType(): Feature
    Definition Classes
    Feature → MessageOrBuilder → MessageLiteOrBuilder
    Annotations
    @Override()
  16. def getDescriptorForType(): Descriptor
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  17. def getDistributionConstraints(): DistributionConstraints

    Constraints on the distribution of the feature values.
Only supported for StringDomains.


    Constraints on the distribution of the feature values.
Only supported for StringDomains.

    optional .tensorflow.metadata.v0.DistributionConstraints distribution_constraints = 15;

    returns

    The distributionConstraints.

    Definition Classes
    Feature → FeatureOrBuilder
  18. def getDistributionConstraintsOrBuilder(): DistributionConstraintsOrBuilder

    Constraints on the distribution of the feature values.
Only supported for StringDomains.


    Constraints on the distribution of the feature values.
Only supported for StringDomains.

    optional .tensorflow.metadata.v0.DistributionConstraints distribution_constraints = 15;

    Definition Classes
    Feature → FeatureOrBuilder
  19. def getDomain(): String

    Reference to a domain defined at the schema level.


    Reference to a domain defined at the schema level.

    optional string domain = 7;

    returns

    The domain.

    Definition Classes
    Feature → FeatureOrBuilder
  20. def getDomainBytes(): ByteString

    Reference to a domain defined at the schema level.


    Reference to a domain defined at the schema level.

    optional string domain = 7;

    returns

    The bytes for domain.

    Definition Classes
    Feature → FeatureOrBuilder
  21. def getDomainInfoCase(): DomainInfoCase
    Definition Classes
    Feature → FeatureOrBuilder
  22. def getDriftComparator(): FeatureComparator

    Tests comparing the distribution between two consecutive spans (e.g. days).


    Tests comparing the distribution between two consecutive spans (e.g. days).

    optional .tensorflow.metadata.v0.FeatureComparator drift_comparator = 21;

    returns

    The driftComparator.

    Definition Classes
    Feature → FeatureOrBuilder
  23. def getDriftComparatorOrBuilder(): FeatureComparatorOrBuilder

    Tests comparing the distribution between two consecutive spans (e.g. days).


    Tests comparing the distribution between two consecutive spans (e.g. days).

    optional .tensorflow.metadata.v0.FeatureComparator drift_comparator = 21;

    Definition Classes
    Feature → FeatureOrBuilder
  24. def getField(arg0: FieldDescriptor): AnyRef
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  25. def getFloatDomain(): FloatDomain

    optional .tensorflow.metadata.v0.FloatDomain float_domain = 10;

    optional .tensorflow.metadata.v0.FloatDomain float_domain = 10;

    returns

    The floatDomain.

    Definition Classes
    Feature → FeatureOrBuilder
  26. def getFloatDomainOrBuilder(): FloatDomainOrBuilder

    optional .tensorflow.metadata.v0.FloatDomain float_domain = 10;

    optional .tensorflow.metadata.v0.FloatDomain float_domain = 10;

    Definition Classes
    Feature → FeatureOrBuilder
  27. def getGroupPresence(): FeaturePresenceWithinGroup

    Only used in the context of a "group" context, e.g., inside a sequence.


    Only used in the context of a "group" context, e.g., inside a sequence.

    optional .tensorflow.metadata.v0.FeaturePresenceWithinGroup group_presence = 17;

    returns

    The groupPresence.

    Definition Classes
    Feature → FeatureOrBuilder
  28. def getGroupPresenceOrBuilder(): FeaturePresenceWithinGroupOrBuilder

    Only used in the context of a "group" context, e.g., inside a sequence.


    Only used in the context of a "group" context, e.g., inside a sequence.

    optional .tensorflow.metadata.v0.FeaturePresenceWithinGroup group_presence = 17;

    Definition Classes
    Feature → FeatureOrBuilder
  29. def getImageDomain(): ImageDomain

    optional .tensorflow.metadata.v0.ImageDomain image_domain = 25;

    optional .tensorflow.metadata.v0.ImageDomain image_domain = 25;

    returns

    The imageDomain.

    Definition Classes
    Feature → FeatureOrBuilder
  30. def getImageDomainOrBuilder(): ImageDomainOrBuilder

    optional .tensorflow.metadata.v0.ImageDomain image_domain = 25;

    optional .tensorflow.metadata.v0.ImageDomain image_domain = 25;

    Definition Classes
    Feature → FeatureOrBuilder
  31. def getInEnvironment(index: Int): String

    List of environments this feature is present in.
Should be disjoint from not_in_environment.
This feature is in environment "foo" if:
("foo" is in in_environment or default_environment) AND
"foo" is not in not_in_environment.
See Schema::default_environment.


    List of environments this feature is present in.
Should be disjoint from not_in_environment.
This feature is in environment "foo" if:
("foo" is in in_environment or default_environment) AND
"foo" is not in not_in_environment.
See Schema::default_environment.

    repeated string in_environment = 20;

    index

    The index of the element to return.

    returns

    The inEnvironment at the given index.

    Definition Classes
    Feature → FeatureOrBuilder
  32. def getInEnvironmentBytes(index: Int): ByteString

    List of environments this feature is present in.
Should be disjoint from not_in_environment.
This feature is in environment "foo" if:
("foo" is in in_environment or default_environment) AND
"foo" is not in not_in_environment.
See Schema::default_environment.


    List of environments this feature is present in.
Should be disjoint from not_in_environment.
This feature is in environment "foo" if:
("foo" is in in_environment or default_environment) AND
"foo" is not in not_in_environment.
See Schema::default_environment.

    repeated string in_environment = 20;

    index

    The index of the value to return.

    returns

    The bytes of the inEnvironment at the given index.

    Definition Classes
    Feature → FeatureOrBuilder
  33. def getInEnvironmentCount(): Int

    List of environments this feature is present in.
Should be disjoint from not_in_environment.
This feature is in environment "foo" if:
("foo" is in in_environment or default_environment) AND
"foo" is not in not_in_environment.
See Schema::default_environment.


    List of environments this feature is present in.
Should be disjoint from not_in_environment.
This feature is in environment "foo" if:
("foo" is in in_environment or default_environment) AND
"foo" is not in not_in_environment.
See Schema::default_environment.

    repeated string in_environment = 20;

    returns

    The count of inEnvironment.

    Definition Classes
    Feature → FeatureOrBuilder
  34. def getInEnvironmentList(): ProtocolStringList

    List of environments this feature is present in.
Should be disjoint from not_in_environment.
This feature is in environment "foo" if:
("foo" is in in_environment or default_environment) AND
"foo" is not in not_in_environment.
See Schema::default_environment.


    List of environments this feature is present in.
Should be disjoint from not_in_environment.
This feature is in environment "foo" if:
("foo" is in in_environment or default_environment) AND
"foo" is not in not_in_environment.
See Schema::default_environment.

    repeated string in_environment = 20;

    returns

    A list containing the inEnvironment.

    Definition Classes
    Feature → FeatureOrBuilder
  35. def getInitializationErrorString(): String
    Definition Classes
    AbstractMessage → MessageOrBuilder
  36. def getIntDomain(): IntDomain

    Inline definitions of domains.


    Inline definitions of domains.

    optional .tensorflow.metadata.v0.IntDomain int_domain = 9;

    returns

    The intDomain.

    Definition Classes
    Feature → FeatureOrBuilder
  37. def getIntDomainOrBuilder(): IntDomainOrBuilder

    Inline definitions of domains.


    Inline definitions of domains.

    optional .tensorflow.metadata.v0.IntDomain int_domain = 9;

    Definition Classes
    Feature → FeatureOrBuilder
  38. def getLifecycleStage(): LifecycleStage

    The lifecycle stage of a feature. It can also apply to its descendants.
i.e., if a struct is DEPRECATED, its children are implicitly deprecated.


    The lifecycle stage of a feature. It can also apply to its descendants.
i.e., if a struct is DEPRECATED, its children are implicitly deprecated.

    optional .tensorflow.metadata.v0.LifecycleStage lifecycle_stage = 22;

    returns

    The lifecycleStage.

    Definition Classes
    Feature → FeatureOrBuilder
  39. def getMidDomain(): MIDDomain

    optional .tensorflow.metadata.v0.MIDDomain mid_domain = 26;

    optional .tensorflow.metadata.v0.MIDDomain mid_domain = 26;

    returns

    The midDomain.

    Definition Classes
    Feature → FeatureOrBuilder
  40. def getMidDomainOrBuilder(): MIDDomainOrBuilder

    optional .tensorflow.metadata.v0.MIDDomain mid_domain = 26;

    optional .tensorflow.metadata.v0.MIDDomain mid_domain = 26;

    Definition Classes
    Feature → FeatureOrBuilder
  41. def getName(): String

    The name of the feature.


    The name of the feature.

    optional string name = 1;

    returns

    The name.

    Definition Classes
    Feature → FeatureOrBuilder
  42. def getNameBytes(): ByteString

    The name of the feature.


    The name of the feature.

    optional string name = 1;

    returns

    The bytes for name.

    Definition Classes
    Feature → FeatureOrBuilder
  43. def getNaturalLanguageDomain(): NaturalLanguageDomain

    Supported semantic domains.


    Supported semantic domains.

    optional .tensorflow.metadata.v0.NaturalLanguageDomain natural_language_domain = 24;

    returns

    The naturalLanguageDomain.

    Definition Classes
    Feature → FeatureOrBuilder
  44. def getNaturalLanguageDomainOrBuilder(): NaturalLanguageDomainOrBuilder

    Supported semantic domains.


    Supported semantic domains.

    optional .tensorflow.metadata.v0.NaturalLanguageDomain natural_language_domain = 24;

    Definition Classes
    Feature → FeatureOrBuilder
  45. def getNotInEnvironment(index: Int): String

    List of environments this feature is not present in.
Should be disjoint from of in_environment.
See Schema::default_environment and in_environment.


    List of environments this feature is not present in.
Should be disjoint from of in_environment.
See Schema::default_environment and in_environment.

    repeated string not_in_environment = 19;

    index

    The index of the element to return.

    returns

    The notInEnvironment at the given index.

    Definition Classes
    Feature → FeatureOrBuilder
  46. def getNotInEnvironmentBytes(index: Int): ByteString

    List of environments this feature is not present in.
Should be disjoint from of in_environment.
See Schema::default_environment and in_environment.


    List of environments this feature is not present in.
Should be disjoint from of in_environment.
See Schema::default_environment and in_environment.

    repeated string not_in_environment = 19;

    index

    The index of the value to return.

    returns

    The bytes of the notInEnvironment at the given index.

    Definition Classes
    Feature → FeatureOrBuilder
  47. def getNotInEnvironmentCount(): Int

    List of environments this feature is not present in.
Should be disjoint from of in_environment.
See Schema::default_environment and in_environment.


    List of environments this feature is not present in.
Should be disjoint from of in_environment.
See Schema::default_environment and in_environment.

    repeated string not_in_environment = 19;

    returns

    The count of notInEnvironment.

    Definition Classes
    Feature → FeatureOrBuilder
  48. def getNotInEnvironmentList(): ProtocolStringList

    List of environments this feature is not present in.
Should be disjoint from of in_environment.
See Schema::default_environment and in_environment.


    List of environments this feature is not present in.
Should be disjoint from of in_environment.
See Schema::default_environment and in_environment.

    repeated string not_in_environment = 19;

    returns

    A list containing the notInEnvironment.

    Definition Classes
    Feature → FeatureOrBuilder
  49. def getOneofFieldDescriptor(arg0: OneofDescriptor): FieldDescriptor
    Definition Classes
    GeneratedMessageV3 → AbstractMessage → MessageOrBuilder
  50. def getParserForType(): Parser[Feature]
    Definition Classes
    Feature → GeneratedMessageV3 → Message → MessageLite
    Annotations
    @Override()
  51. def getPresence(): FeaturePresence

    Constraints on the presence of this feature in the examples.


    Constraints on the presence of this feature in the examples.

    optional .tensorflow.metadata.v0.FeaturePresence presence = 14;

    returns

    The presence.

    Definition Classes
    Feature → FeatureOrBuilder
  52. def getPresenceConstraintsCase(): PresenceConstraintsCase
    Definition Classes
    Feature → FeatureOrBuilder
  53. def getPresenceOrBuilder(): FeaturePresenceOrBuilder

    Constraints on the presence of this feature in the examples.


    Constraints on the presence of this feature in the examples.

    optional .tensorflow.metadata.v0.FeaturePresence presence = 14;

    Definition Classes
    Feature → FeatureOrBuilder
  54. def getRepeatedField(arg0: FieldDescriptor, arg1: Int): AnyRef
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  55. def getRepeatedFieldCount(arg0: FieldDescriptor): Int
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  56. def getSerializedSize(): Int
    Definition Classes
    Feature → GeneratedMessageV3 → AbstractMessage → MessageLite
    Annotations
    @Override()
  57. def getShape(): FixedShape

    The feature has a fixed shape corresponding to a multi-dimensional
tensor.


    The feature has a fixed shape corresponding to a multi-dimensional
tensor.

    optional .tensorflow.metadata.v0.FixedShape shape = 23;

    returns

    The shape.

    Definition Classes
    Feature → FeatureOrBuilder
  58. def getShapeOrBuilder(): FixedShapeOrBuilder

    The feature has a fixed shape corresponding to a multi-dimensional
tensor.


    The feature has a fixed shape corresponding to a multi-dimensional
tensor.

    optional .tensorflow.metadata.v0.FixedShape shape = 23;

    Definition Classes
    Feature → FeatureOrBuilder
  59. def getShapeTypeCase(): ShapeTypeCase
    Definition Classes
    Feature → FeatureOrBuilder
  60. def getSkewComparator(): FeatureComparator

    Tests comparing the distribution to the associated serving data.


    Tests comparing the distribution to the associated serving data.

    optional .tensorflow.metadata.v0.FeatureComparator skew_comparator = 18;

    returns

    The skewComparator.

    Definition Classes
    Feature → FeatureOrBuilder
  61. def getSkewComparatorOrBuilder(): FeatureComparatorOrBuilder

    Tests comparing the distribution to the associated serving data.


    Tests comparing the distribution to the associated serving data.

    optional .tensorflow.metadata.v0.FeatureComparator skew_comparator = 18;

    Definition Classes
    Feature → FeatureOrBuilder
  62. def getStringDomain(): StringDomain

    optional .tensorflow.metadata.v0.StringDomain string_domain = 11;

    optional .tensorflow.metadata.v0.StringDomain string_domain = 11;

    returns

    The stringDomain.

    Definition Classes
    Feature → FeatureOrBuilder
  63. def getStringDomainOrBuilder(): StringDomainOrBuilder

    optional .tensorflow.metadata.v0.StringDomain string_domain = 11;

    optional .tensorflow.metadata.v0.StringDomain string_domain = 11;

    Definition Classes
    Feature → FeatureOrBuilder
  64. def getStructDomain(): StructDomain

    optional .tensorflow.metadata.v0.StructDomain struct_domain = 29;

    optional .tensorflow.metadata.v0.StructDomain struct_domain = 29;

    returns

    The structDomain.

    Definition Classes
    Feature → FeatureOrBuilder
  65. def getStructDomainOrBuilder(): StructDomainOrBuilder

    optional .tensorflow.metadata.v0.StructDomain struct_domain = 29;

    optional .tensorflow.metadata.v0.StructDomain struct_domain = 29;

    Definition Classes
    Feature → FeatureOrBuilder
  66. def getTimeDomain(): TimeDomain

    optional .tensorflow.metadata.v0.TimeDomain time_domain = 28;

    optional .tensorflow.metadata.v0.TimeDomain time_domain = 28;

    returns

    The timeDomain.

    Definition Classes
    Feature → FeatureOrBuilder
  67. def getTimeDomainOrBuilder(): TimeDomainOrBuilder

    optional .tensorflow.metadata.v0.TimeDomain time_domain = 28;

    optional .tensorflow.metadata.v0.TimeDomain time_domain = 28;

    Definition Classes
    Feature → FeatureOrBuilder
  68. def getTimeOfDayDomain(): TimeOfDayDomain

    optional .tensorflow.metadata.v0.TimeOfDayDomain time_of_day_domain = 30;

    optional .tensorflow.metadata.v0.TimeOfDayDomain time_of_day_domain = 30;

    returns

    The timeOfDayDomain.

    Definition Classes
    Feature → FeatureOrBuilder
  69. def getTimeOfDayDomainOrBuilder(): TimeOfDayDomainOrBuilder

    optional .tensorflow.metadata.v0.TimeOfDayDomain time_of_day_domain = 30;

    optional .tensorflow.metadata.v0.TimeOfDayDomain time_of_day_domain = 30;

    Definition Classes
    Feature → FeatureOrBuilder
  70. def getType(): FeatureType

    Physical type of the feature's values.
Note that you can have:
type: BYTES
int_domain: {
  min: 0
  max: 3
}
This would be a field that is syntactically BYTES (i.e. strings), but
semantically an int, i.e. it would be "0", "1", "2", or "3".


    Physical type of the feature's values.
Note that you can have:
type: BYTES
int_domain: {
  min: 0
  max: 3
}
This would be a field that is syntactically BYTES (i.e. strings), but
semantically an int, i.e. it would be "0", "1", "2", or "3".

    optional .tensorflow.metadata.v0.FeatureType type = 6;

    returns

    The type.

    Definition Classes
    Feature → FeatureOrBuilder
  71. def getUniqueConstraints(): UniqueConstraints

    Constraints on the number of unique values for a given feature.
This is supported for string and categorical features only.


    Constraints on the number of unique values for a given feature.
This is supported for string and categorical features only.

    optional .tensorflow.metadata.v0.UniqueConstraints unique_constraints = 31;

    returns

    The uniqueConstraints.

    Definition Classes
    Feature → FeatureOrBuilder
  72. def getUniqueConstraintsOrBuilder(): UniqueConstraintsOrBuilder

    Constraints on the number of unique values for a given feature.
This is supported for string and categorical features only.


    Constraints on the number of unique values for a given feature.
This is supported for string and categorical features only.

    optional .tensorflow.metadata.v0.UniqueConstraints unique_constraints = 31;

    Definition Classes
    Feature → FeatureOrBuilder
  73. final def getUnknownFields(): UnknownFieldSet
    Definition Classes
    Feature → GeneratedMessageV3 → MessageOrBuilder
    Annotations
    @Override()
  74. def getUrlDomain(): URLDomain

    optional .tensorflow.metadata.v0.URLDomain url_domain = 27;

    optional .tensorflow.metadata.v0.URLDomain url_domain = 27;

    returns

    The urlDomain.

    Definition Classes
    Feature → FeatureOrBuilder
  75. def getUrlDomainOrBuilder(): URLDomainOrBuilder

    optional .tensorflow.metadata.v0.URLDomain url_domain = 27;

    optional .tensorflow.metadata.v0.URLDomain url_domain = 27;

    Definition Classes
    Feature → FeatureOrBuilder
  76. def getValueCount(): ValueCount

    The feature doesn't have a well defined shape. All we know are limits on
the minimum and maximum number of values.


    The feature doesn't have a well defined shape. All we know are limits on
the minimum and maximum number of values.

    optional .tensorflow.metadata.v0.ValueCount value_count = 5;

    returns

    The valueCount.

    Definition Classes
    Feature → FeatureOrBuilder
  77. def getValueCountOrBuilder(): ValueCountOrBuilder

    The feature doesn't have a well defined shape. All we know are limits on
the minimum and maximum number of values.


    The feature doesn't have a well defined shape. All we know are limits on
the minimum and maximum number of values.

    optional .tensorflow.metadata.v0.ValueCount value_count = 5;

    Definition Classes
    Feature → FeatureOrBuilder
  78. def getValueCounts(): ValueCountList

    Captures the same information as value_count but for features with
nested values. A ValueCount is provided for each nest level.


    Captures the same information as value_count but for features with
nested values. A ValueCount is provided for each nest level.

    optional .tensorflow.metadata.v0.ValueCountList value_counts = 32;

    returns

    The valueCounts.

    Definition Classes
    Feature → FeatureOrBuilder
  79. def getValueCountsOrBuilder(): ValueCountListOrBuilder

    Captures the same information as value_count but for features with
nested values. A ValueCount is provided for each nest level.


    Captures the same information as value_count but for features with
nested values. A ValueCount is provided for each nest level.

    optional .tensorflow.metadata.v0.ValueCountList value_counts = 32;

    Definition Classes
    Feature → FeatureOrBuilder
  80. def hasAnnotation(): Boolean

    Additional information about the feature for documentation purpose.


    Additional information about the feature for documentation purpose.

    optional .tensorflow.metadata.v0.Annotation annotation = 16;

    returns

    Whether the annotation field is set.

    Definition Classes
    Feature → FeatureOrBuilder
  81. def hasBoolDomain(): Boolean

    optional .tensorflow.metadata.v0.BoolDomain bool_domain = 13;

    optional .tensorflow.metadata.v0.BoolDomain bool_domain = 13;

    returns

    Whether the boolDomain field is set.

    Definition Classes
    Feature → FeatureOrBuilder
  82. def hasDistributionConstraints(): Boolean

    Constraints on the distribution of the feature values.
Only supported for StringDomains.


    Constraints on the distribution of the feature values.
Only supported for StringDomains.

    optional .tensorflow.metadata.v0.DistributionConstraints distribution_constraints = 15;

    returns

    Whether the distributionConstraints field is set.

    Definition Classes
    Feature → FeatureOrBuilder
  83. def hasDomain(): Boolean

    Reference to a domain defined at the schema level.


    Reference to a domain defined at the schema level.

    optional string domain = 7;

    returns

    Whether the domain field is set.

    Definition Classes
    Feature → FeatureOrBuilder
  84. def hasDriftComparator(): Boolean

    Tests comparing the distribution between two consecutive spans (e.g. days).


    Tests comparing the distribution between two consecutive spans (e.g. days).

    optional .tensorflow.metadata.v0.FeatureComparator drift_comparator = 21;

    returns

    Whether the driftComparator field is set.

    Definition Classes
    Feature → FeatureOrBuilder
  85. def hasField(arg0: FieldDescriptor): Boolean
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  86. def hasFloatDomain(): Boolean

    optional .tensorflow.metadata.v0.FloatDomain float_domain = 10;

    optional .tensorflow.metadata.v0.FloatDomain float_domain = 10;

    returns

    Whether the floatDomain field is set.

    Definition Classes
    Feature → FeatureOrBuilder
  87. def hasGroupPresence(): Boolean

    Only used in the context of a "group" context, e.g., inside a sequence.


    Only used in the context of a "group" context, e.g., inside a sequence.

    optional .tensorflow.metadata.v0.FeaturePresenceWithinGroup group_presence = 17;

    returns

    Whether the groupPresence field is set.

    Definition Classes
    Feature → FeatureOrBuilder
  88. def hasImageDomain(): Boolean

    optional .tensorflow.metadata.v0.ImageDomain image_domain = 25;

    optional .tensorflow.metadata.v0.ImageDomain image_domain = 25;

    returns

    Whether the imageDomain field is set.

    Definition Classes
    Feature → FeatureOrBuilder
  89. def hasIntDomain(): Boolean

    Inline definitions of domains.


    Inline definitions of domains.

    optional .tensorflow.metadata.v0.IntDomain int_domain = 9;

    returns

    Whether the intDomain field is set.

    Definition Classes
    Feature → FeatureOrBuilder
  90. def hasLifecycleStage(): Boolean

    The lifecycle stage of a feature. It can also apply to its descendants.
i.e., if a struct is DEPRECATED, its children are implicitly deprecated.


    The lifecycle stage of a feature. It can also apply to its descendants.
i.e., if a struct is DEPRECATED, its children are implicitly deprecated.

    optional .tensorflow.metadata.v0.LifecycleStage lifecycle_stage = 22;

    returns

    Whether the lifecycleStage field is set.

    Definition Classes
    Feature → FeatureOrBuilder
  91. def hasMidDomain(): Boolean

    optional .tensorflow.metadata.v0.MIDDomain mid_domain = 26;

    optional .tensorflow.metadata.v0.MIDDomain mid_domain = 26;

    returns

    Whether the midDomain field is set.

    Definition Classes
    Feature → FeatureOrBuilder
  92. def hasName(): Boolean

    The name of the feature.


    The name of the feature.

    optional string name = 1;

    returns

    Whether the name field is set.

    Definition Classes
    Feature → FeatureOrBuilder
  93. def hasNaturalLanguageDomain(): Boolean

    Supported semantic domains.


    Supported semantic domains.

    optional .tensorflow.metadata.v0.NaturalLanguageDomain natural_language_domain = 24;

    returns

    Whether the naturalLanguageDomain field is set.

    Definition Classes
    Feature → FeatureOrBuilder
  94. def hasOneof(arg0: OneofDescriptor): Boolean
    Definition Classes
    GeneratedMessageV3 → AbstractMessage → MessageOrBuilder
  95. def hasPresence(): Boolean

    Constraints on the presence of this feature in the examples.


    Constraints on the presence of this feature in the examples.

    optional .tensorflow.metadata.v0.FeaturePresence presence = 14;

    returns

    Whether the presence field is set.

    Definition Classes
    Feature → FeatureOrBuilder
  96. def hasShape(): Boolean

    The feature has a fixed shape corresponding to a multi-dimensional
tensor.


    The feature has a fixed shape corresponding to a multi-dimensional
tensor.

    optional .tensorflow.metadata.v0.FixedShape shape = 23;

    returns

    Whether the shape field is set.

    Definition Classes
    Feature → FeatureOrBuilder
  97. def hasSkewComparator(): Boolean

    Tests comparing the distribution to the associated serving data.


    Tests comparing the distribution to the associated serving data.

    optional .tensorflow.metadata.v0.FeatureComparator skew_comparator = 18;

    returns

    Whether the skewComparator field is set.

    Definition Classes
    Feature → FeatureOrBuilder
  98. def hasStringDomain(): Boolean

    optional .tensorflow.metadata.v0.StringDomain string_domain = 11;

    optional .tensorflow.metadata.v0.StringDomain string_domain = 11;

    returns

    Whether the stringDomain field is set.

    Definition Classes
    Feature → FeatureOrBuilder
  99. def hasStructDomain(): Boolean

    optional .tensorflow.metadata.v0.StructDomain struct_domain = 29;

    optional .tensorflow.metadata.v0.StructDomain struct_domain = 29;

    returns

    Whether the structDomain field is set.

    Definition Classes
    Feature → FeatureOrBuilder
  100. def hasTimeDomain(): Boolean

    optional .tensorflow.metadata.v0.TimeDomain time_domain = 28;

    optional .tensorflow.metadata.v0.TimeDomain time_domain = 28;

    returns

    Whether the timeDomain field is set.

    Definition Classes
    Feature → FeatureOrBuilder
  101. def hasTimeOfDayDomain(): Boolean

    optional .tensorflow.metadata.v0.TimeOfDayDomain time_of_day_domain = 30;

    optional .tensorflow.metadata.v0.TimeOfDayDomain time_of_day_domain = 30;

    returns

    Whether the timeOfDayDomain field is set.

    Definition Classes
    Feature → FeatureOrBuilder
  102. def hasType(): Boolean

    Physical type of the feature's values.
Note that you can have:
type: BYTES
int_domain: {
  min: 0
  max: 3
}
This would be a field that is syntactically BYTES (i.e. strings), but
semantically an int, i.e. it would be "0", "1", "2", or "3".


    Physical type of the feature's values.
Note that you can have:
type: BYTES
int_domain: {
  min: 0
  max: 3
}
This would be a field that is syntactically BYTES (i.e. strings), but
semantically an int, i.e. it would be "0", "1", "2", or "3".

    optional .tensorflow.metadata.v0.FeatureType type = 6;

    returns

    Whether the type field is set.

    Definition Classes
    Feature → FeatureOrBuilder
  103. def hasUniqueConstraints(): Boolean

    Constraints on the number of unique values for a given feature.
This is supported for string and categorical features only.


    Constraints on the number of unique values for a given feature.
This is supported for string and categorical features only.

    optional .tensorflow.metadata.v0.UniqueConstraints unique_constraints = 31;

    returns

    Whether the uniqueConstraints field is set.

    Definition Classes
    Feature → FeatureOrBuilder
  104. def hasUrlDomain(): Boolean

    optional .tensorflow.metadata.v0.URLDomain url_domain = 27;

    optional .tensorflow.metadata.v0.URLDomain url_domain = 27;

    returns

    Whether the urlDomain field is set.

    Definition Classes
    Feature → FeatureOrBuilder
  105. def hasValueCount(): Boolean

    The feature doesn't have a well defined shape. All we know are limits on
the minimum and maximum number of values.


    The feature doesn't have a well defined shape. All we know are limits on
the minimum and maximum number of values.

    optional .tensorflow.metadata.v0.ValueCount value_count = 5;

    returns

    Whether the valueCount field is set.

    Definition Classes
    Feature → FeatureOrBuilder
  106. def hasValueCounts(): Boolean

    Captures the same information as value_count but for features with
nested values. A ValueCount is provided for each nest level.


    Captures the same information as value_count but for features with
nested values. A ValueCount is provided for each nest level.

    optional .tensorflow.metadata.v0.ValueCountList value_counts = 32;

    returns

    Whether the valueCounts field is set.

    Definition Classes
    Feature → FeatureOrBuilder
  107. def hashCode(): Int
    Definition Classes
    Feature → AbstractMessage → Message → AnyRef → Any
    Annotations
    @Override()
  108. def internalGetFieldAccessorTable(): FieldAccessorTable
    Attributes
    protected[v0]
    Definition Classes
    Feature → GeneratedMessageV3
    Annotations
    @Override()
  109. def internalGetMapField(arg0: Int): MapField[_ <: AnyRef, _ <: AnyRef]
    Attributes
    protected[protobuf]
    Definition Classes
    GeneratedMessageV3
  110. final def isInitialized(): Boolean
    Definition Classes
    Feature → GeneratedMessageV3 → AbstractMessage → MessageLiteOrBuilder
    Annotations
    @Override()
  111. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  112. def makeExtensionsImmutable(): Unit
    Attributes
    protected[protobuf]
    Definition Classes
    GeneratedMessageV3
  113. def mergeFromAndMakeImmutableInternal(arg0: CodedInputStream, arg1: ExtensionRegistryLite): Unit
    Attributes
    protected[protobuf]
    Definition Classes
    GeneratedMessageV3
    Annotations
    @throws(classOf[com.google.protobuf.InvalidProtocolBufferException])
  114. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  115. def newBuilderForType(parent: BuilderParent): Builder
    Attributes
    protected[v0]
    Definition Classes
    Feature → GeneratedMessageV3
    Annotations
    @Override()
  116. def newBuilderForType(): Builder
    Definition Classes
    Feature → Message → MessageLite
    Annotations
    @Override()
  117. def newBuilderForType(arg0: BuilderParent): Builder
    Attributes
    protected[protobuf]
    Definition Classes
    GeneratedMessageV3 → AbstractMessage
  118. def newInstance(unused: UnusedPrivateParameter): AnyRef
    Attributes
    protected[v0]
    Definition Classes
    Feature → GeneratedMessageV3
    Annotations
    @Override() @SuppressWarnings()
  119. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  120. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  121. def parseUnknownField(arg0: CodedInputStream, arg1: Builder, arg2: ExtensionRegistryLite, arg3: Int): Boolean
    Attributes
    protected[protobuf]
    Definition Classes
    GeneratedMessageV3
    Annotations
    @throws(classOf[java.io.IOException])
  122. def parseUnknownFieldProto3(arg0: CodedInputStream, arg1: Builder, arg2: ExtensionRegistryLite, arg3: Int): Boolean
    Attributes
    protected[protobuf]
    Definition Classes
    GeneratedMessageV3
    Annotations
    @throws(classOf[java.io.IOException])
  123. final def synchronized[T0](arg0: => T0): T0
    Definition Classes
    AnyRef
  124. def toBuilder(): Builder
    Definition Classes
    Feature → Message → MessageLite
    Annotations
    @Override()
  125. def toByteArray(): Array[Byte]
    Definition Classes
    AbstractMessageLite → MessageLite
  126. def toByteString(): ByteString
    Definition Classes
    AbstractMessageLite → MessageLite
  127. final def toString(): String
    Definition Classes
    AbstractMessage → Message → AnyRef → Any
  128. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])
  129. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException]) @native()
  130. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])
  131. def writeDelimitedTo(arg0: OutputStream): Unit
    Definition Classes
    AbstractMessageLite → MessageLite
    Annotations
    @throws(classOf[java.io.IOException])
  132. def writeReplace(): AnyRef
    Attributes
    protected[protobuf]
    Definition Classes
    GeneratedMessageV3
    Annotations
    @throws(classOf[java.io.ObjectStreamException])
  133. def writeTo(output: CodedOutputStream): Unit
    Definition Classes
    Feature → GeneratedMessageV3 → AbstractMessage → MessageLite
    Annotations
    @Override()
  134. def writeTo(arg0: OutputStream): Unit
    Definition Classes
    AbstractMessageLite → MessageLite
    Annotations
    @throws(classOf[java.io.IOException])

Deprecated Value Members

  1. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.Throwable]) @Deprecated
    Deprecated
  2. def getDeprecated(): Boolean

    This field is no longer supported. Instead, use:
lifecycle_stage: DEPRECATED
TODO(b/111450258): remove this.


    This field is no longer supported. Instead, use:
lifecycle_stage: DEPRECATED
TODO(b/111450258): remove this.

    optional bool deprecated = 2 [deprecated = true];

    returns

    The deprecated.

    Definition Classes
    Feature → FeatureOrBuilder
    Annotations
    @Deprecated
    Deprecated
  3. def hasDeprecated(): Boolean

    This field is no longer supported. Instead, use:
lifecycle_stage: DEPRECATED
TODO(b/111450258): remove this.


    This field is no longer supported. Instead, use:
lifecycle_stage: DEPRECATED
TODO(b/111450258): remove this.

    optional bool deprecated = 2 [deprecated = true];

    returns

    Whether the deprecated field is set.

    Definition Classes
    Feature → FeatureOrBuilder
    Annotations
    @Deprecated
    Deprecated

Inherited from FeatureOrBuilder

Inherited from GeneratedMessageV3

Inherited from Serializable

Inherited from AbstractMessage

Inherited from Message

Inherited from MessageOrBuilder

Inherited from AbstractMessageLite[MessageType, BuilderType]

Inherited from MessageLite

Inherited from MessageLiteOrBuilder

Inherited from AnyRef

Inherited from Any

Ungrouped