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org.tensorflow.metadata.v0

FeatureOrBuilder

trait FeatureOrBuilder extends MessageOrBuilder

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@Generated()
Source
FeatureOrBuilder.java
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MessageOrBuilder, MessageLiteOrBuilder, AnyRef, Any
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Feature
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Abstract Value Members

  1. abstract def findInitializationErrors(): List[String]
    Definition Classes
    MessageOrBuilder
  2. abstract def getAllFields(): Map[FieldDescriptor, AnyRef]
    Definition Classes
    MessageOrBuilder
  3. abstract 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.

  4. abstract 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;

  5. abstract def getBoolDomain(): BoolDomain

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

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

    returns

    The boolDomain.

  6. abstract def getBoolDomainOrBuilder(): BoolDomainOrBuilder

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

  7. abstract def getDefaultInstanceForType(): Message
    Definition Classes
    MessageOrBuilder → MessageLiteOrBuilder
  8. abstract def getDescriptorForType(): Descriptor
    Definition Classes
    MessageOrBuilder
  9. abstract 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.

  10. abstract 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;

  11. abstract def getDomain(): String

    Reference to a domain defined at the schema level.
NOTE THAT TFDV ONLY SUPPORTS STRING DOMAINS AT THE TOP LEVEL.
TODO(b/63664182): Support this.


    Reference to a domain defined at the schema level.
NOTE THAT TFDV ONLY SUPPORTS STRING DOMAINS AT THE TOP LEVEL.
TODO(b/63664182): Support this.

    string domain = 7;

    returns

    The domain.

  12. abstract def getDomainBytes(): ByteString

    Reference to a domain defined at the schema level.
NOTE THAT TFDV ONLY SUPPORTS STRING DOMAINS AT THE TOP LEVEL.
TODO(b/63664182): Support this.


    Reference to a domain defined at the schema level.
NOTE THAT TFDV ONLY SUPPORTS STRING DOMAINS AT THE TOP LEVEL.
TODO(b/63664182): Support this.

    string domain = 7;

    returns

    The bytes for domain.

  13. abstract def getDomainInfoCase(): DomainInfoCase
  14. abstract 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.

  15. abstract 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;

  16. abstract def getField(field: FieldDescriptor): AnyRef
    Definition Classes
    MessageOrBuilder
  17. abstract def getFloatDomain(): FloatDomain

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

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

    returns

    The floatDomain.

  18. abstract def getFloatDomainOrBuilder(): FloatDomainOrBuilder

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

  19. abstract 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.

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

    returns

    The groupPresence.

  20. abstract 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.

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

  21. abstract def getImageDomain(): ImageDomain

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

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

    returns

    The imageDomain.

  22. abstract def getImageDomainOrBuilder(): ImageDomainOrBuilder

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

  23. abstract 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.

  24. abstract 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.

  25. abstract 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.

  26. abstract def getInEnvironmentList(): List[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;

    returns

    A list containing the inEnvironment.

  27. abstract def getInitializationErrorString(): String
    Definition Classes
    MessageOrBuilder
  28. abstract def getIntDomain(): IntDomain

    Inline definitions of domains.


    Inline definitions of domains.

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

    returns

    The intDomain.

  29. abstract def getIntDomainOrBuilder(): IntDomainOrBuilder

    Inline definitions of domains.


    Inline definitions of domains.

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

  30. abstract 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.

  31. abstract def getMidDomain(): MIDDomain

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

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

    returns

    The midDomain.

  32. abstract def getMidDomainOrBuilder(): MIDDomainOrBuilder

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

  33. abstract def getName(): String

    The name of the feature.


    The name of the feature.

    optional string name = 1;

    returns

    The name.

  34. abstract def getNameBytes(): ByteString

    The name of the feature.


    The name of the feature.

    optional string name = 1;

    returns

    The bytes for name.

  35. abstract def getNaturalLanguageDomain(): NaturalLanguageDomain

    Supported semantic domains.


    Supported semantic domains.

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

    returns

    The naturalLanguageDomain.

  36. abstract def getNaturalLanguageDomainOrBuilder(): NaturalLanguageDomainOrBuilder

    Supported semantic domains.


    Supported semantic domains.

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

  37. abstract 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.

  38. abstract 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.

  39. abstract 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.

  40. abstract def getNotInEnvironmentList(): List[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;

    returns

    A list containing the notInEnvironment.

  41. abstract def getOneofFieldDescriptor(oneof: OneofDescriptor): FieldDescriptor
    Definition Classes
    MessageOrBuilder
  42. abstract def getPresence(): FeaturePresence

    Constraints on the presence of this feature in the examples.


    Constraints on the presence of this feature in the examples.

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

    returns

    The presence.

  43. abstract def getPresenceConstraintsCase(): PresenceConstraintsCase
  44. abstract def getPresenceOrBuilder(): FeaturePresenceOrBuilder

    Constraints on the presence of this feature in the examples.


    Constraints on the presence of this feature in the examples.

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

  45. abstract def getRepeatedField(field: FieldDescriptor, index: Int): AnyRef
    Definition Classes
    MessageOrBuilder
  46. abstract def getRepeatedFieldCount(field: FieldDescriptor): Int
    Definition Classes
    MessageOrBuilder
  47. abstract def getSequenceMetadata(): SequenceMetadata

    This field specifies if this feature could be treated as a sequence
feature which has meaningful element order.


    This field specifies if this feature could be treated as a sequence
feature which has meaningful element order.

    optional .tensorflow.metadata.v0.SequenceMetadata sequence_metadata = 35;

    returns

    The sequenceMetadata.

  48. abstract def getSequenceMetadataOrBuilder(): SequenceMetadataOrBuilder

    This field specifies if this feature could be treated as a sequence
feature which has meaningful element order.


    This field specifies if this feature could be treated as a sequence
feature which has meaningful element order.

    optional .tensorflow.metadata.v0.SequenceMetadata sequence_metadata = 35;

  49. abstract 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.

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

    returns

    The shape.

  50. abstract 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.

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

  51. abstract def getShapeTypeCase(): ShapeTypeCase
  52. abstract 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.

  53. abstract 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;

  54. abstract def getStringDomain(): StringDomain

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

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

    returns

    The stringDomain.

  55. abstract def getStringDomainOrBuilder(): StringDomainOrBuilder

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

  56. abstract def getStructDomain(): StructDomain

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

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

    returns

    The structDomain.

  57. abstract def getStructDomainOrBuilder(): StructDomainOrBuilder

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

  58. abstract def getTimeDomain(): TimeDomain

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

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

    returns

    The timeDomain.

  59. abstract def getTimeDomainOrBuilder(): TimeDomainOrBuilder

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

  60. abstract def getTimeOfDayDomain(): TimeOfDayDomain

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

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

    returns

    The timeOfDayDomain.

  61. abstract def getTimeOfDayDomainOrBuilder(): TimeOfDayDomainOrBuilder

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

  62. abstract 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.

  63. abstract 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.

  64. abstract 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;

  65. abstract def getUnknownFields(): UnknownFieldSet
    Definition Classes
    MessageOrBuilder
  66. abstract def getUrlDomain(): URLDomain

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

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

    returns

    The urlDomain.

  67. abstract def getUrlDomainOrBuilder(): URLDomainOrBuilder

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

  68. abstract def getValidationDerivedSource(): DerivedFeatureSource

    If set, indicates that that this feature is derived, and stores metadata
about its source. If this field is set, this feature should have a
disabled stage (PLANNED, ALPHA, DEPRECATED, DISABLED, DEBUG_ONLY), or
lifecycle_stage VALIDATION_DERIVED.
Experimental and subject to change.


    If set, indicates that that this feature is derived, and stores metadata
about its source. If this field is set, this feature should have a
disabled stage (PLANNED, ALPHA, DEPRECATED, DISABLED, DEBUG_ONLY), or
lifecycle_stage VALIDATION_DERIVED.
Experimental and subject to change.

    optional .tensorflow.metadata.v0.DerivedFeatureSource validation_derived_source = 34;

    returns

    The validationDerivedSource.

  69. abstract def getValidationDerivedSourceOrBuilder(): DerivedFeatureSourceOrBuilder

    If set, indicates that that this feature is derived, and stores metadata
about its source. If this field is set, this feature should have a
disabled stage (PLANNED, ALPHA, DEPRECATED, DISABLED, DEBUG_ONLY), or
lifecycle_stage VALIDATION_DERIVED.
Experimental and subject to change.


    If set, indicates that that this feature is derived, and stores metadata
about its source. If this field is set, this feature should have a
disabled stage (PLANNED, ALPHA, DEPRECATED, DISABLED, DEBUG_ONLY), or
lifecycle_stage VALIDATION_DERIVED.
Experimental and subject to change.

    optional .tensorflow.metadata.v0.DerivedFeatureSource validation_derived_source = 34;

  70. abstract 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.

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

    returns

    The valueCount.

  71. abstract 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.

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

  72. abstract 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.

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

    returns

    The valueCounts.

  73. abstract 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.

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

  74. abstract 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.

  75. abstract def hasBoolDomain(): Boolean

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

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

    returns

    Whether the boolDomain field is set.

  76. abstract 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.

  77. abstract def hasDomain(): Boolean

    Reference to a domain defined at the schema level.
NOTE THAT TFDV ONLY SUPPORTS STRING DOMAINS AT THE TOP LEVEL.
TODO(b/63664182): Support this.


    Reference to a domain defined at the schema level.
NOTE THAT TFDV ONLY SUPPORTS STRING DOMAINS AT THE TOP LEVEL.
TODO(b/63664182): Support this.

    string domain = 7;

    returns

    Whether the domain field is set.

  78. abstract 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.

  79. abstract def hasField(field: FieldDescriptor): Boolean
    Definition Classes
    MessageOrBuilder
  80. abstract def hasFloatDomain(): Boolean

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

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

    returns

    Whether the floatDomain field is set.

  81. abstract 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.

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

    returns

    Whether the groupPresence field is set.

  82. abstract def hasImageDomain(): Boolean

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

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

    returns

    Whether the imageDomain field is set.

  83. abstract def hasIntDomain(): Boolean

    Inline definitions of domains.


    Inline definitions of domains.

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

    returns

    Whether the intDomain field is set.

  84. abstract 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.

  85. abstract def hasMidDomain(): Boolean

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

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

    returns

    Whether the midDomain field is set.

  86. abstract def hasName(): Boolean

    The name of the feature.


    The name of the feature.

    optional string name = 1;

    returns

    Whether the name field is set.

  87. abstract def hasNaturalLanguageDomain(): Boolean

    Supported semantic domains.


    Supported semantic domains.

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

    returns

    Whether the naturalLanguageDomain field is set.

  88. abstract def hasOneof(oneof: OneofDescriptor): Boolean
    Definition Classes
    MessageOrBuilder
  89. abstract def hasPresence(): Boolean

    Constraints on the presence of this feature in the examples.


    Constraints on the presence of this feature in the examples.

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

    returns

    Whether the presence field is set.

  90. abstract def hasSequenceMetadata(): Boolean

    This field specifies if this feature could be treated as a sequence
feature which has meaningful element order.


    This field specifies if this feature could be treated as a sequence
feature which has meaningful element order.

    optional .tensorflow.metadata.v0.SequenceMetadata sequence_metadata = 35;

    returns

    Whether the sequenceMetadata field is set.

  91. abstract 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.

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

    returns

    Whether the shape field is set.

  92. abstract 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.

  93. abstract def hasStringDomain(): Boolean

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

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

    returns

    Whether the stringDomain field is set.

  94. abstract def hasStructDomain(): Boolean

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

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

    returns

    Whether the structDomain field is set.

  95. abstract def hasTimeDomain(): Boolean

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

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

    returns

    Whether the timeDomain field is set.

  96. abstract def hasTimeOfDayDomain(): Boolean

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

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

    returns

    Whether the timeOfDayDomain field is set.

  97. abstract 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.

  98. abstract 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.

  99. abstract def hasUrlDomain(): Boolean

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

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

    returns

    Whether the urlDomain field is set.

  100. abstract def hasValidationDerivedSource(): Boolean

    If set, indicates that that this feature is derived, and stores metadata
about its source. If this field is set, this feature should have a
disabled stage (PLANNED, ALPHA, DEPRECATED, DISABLED, DEBUG_ONLY), or
lifecycle_stage VALIDATION_DERIVED.
Experimental and subject to change.


    If set, indicates that that this feature is derived, and stores metadata
about its source. If this field is set, this feature should have a
disabled stage (PLANNED, ALPHA, DEPRECATED, DISABLED, DEBUG_ONLY), or
lifecycle_stage VALIDATION_DERIVED.
Experimental and subject to change.

    optional .tensorflow.metadata.v0.DerivedFeatureSource validation_derived_source = 34;

    returns

    Whether the validationDerivedSource field is set.

  101. abstract 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.

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

    returns

    Whether the valueCount field is set.

  102. abstract 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.

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

    returns

    Whether the valueCounts field is set.

  103. abstract def isInitialized(): Boolean
    Definition Classes
    MessageLiteOrBuilder
  104. abstract 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.

    Annotations
    @Deprecated
    Deprecated
  105. abstract 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.

    Annotations
    @Deprecated
    Deprecated

Concrete 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()
  6. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  7. def equals(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef → Any
  8. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.Throwable])
  9. final def getClass(): Class[_ <: AnyRef]
    Definition Classes
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    Annotations
    @native()
  10. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  11. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  12. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  13. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  14. final def notifyAll(): Unit
    Definition Classes
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    Annotations
    @native()
  15. final def synchronized[T0](arg0: => T0): T0
    Definition Classes
    AnyRef
  16. def toString(): String
    Definition Classes
    AnyRef → Any
  17. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])
  18. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])
  19. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException]) @native()

Inherited from MessageOrBuilder

Inherited from MessageLiteOrBuilder

Inherited from AnyRef

Inherited from Any

Ungrouped