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org.tensorflow.metadata.v0

NaturalLanguageDomainOrBuilder

trait NaturalLanguageDomainOrBuilder extends MessageOrBuilder

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  1. NaturalLanguageDomainOrBuilder
  2. MessageOrBuilder
  3. MessageLiteOrBuilder
  4. AnyRef
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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 getCoverage(): FeatureCoverageConstraints

    optional .tensorflow.metadata.v0.FeatureCoverageConstraints coverage = 2;

    optional .tensorflow.metadata.v0.FeatureCoverageConstraints coverage = 2;

    returns

    The coverage.

  4. abstract def getCoverageOrBuilder(): FeatureCoverageConstraintsOrBuilder

    optional .tensorflow.metadata.v0.FeatureCoverageConstraints coverage = 2;

  5. abstract def getDefaultInstanceForType(): Message
    Definition Classes
    MessageOrBuilder → MessageLiteOrBuilder
  6. abstract def getDescriptorForType(): Descriptor
    Definition Classes
    MessageOrBuilder
  7. abstract def getField(field: FieldDescriptor): AnyRef
    Definition Classes
    MessageOrBuilder
  8. abstract def getInitializationErrorString(): String
    Definition Classes
    MessageOrBuilder
  9. abstract def getLocationConstraintRegex(): String

    Specifies the location constraints as a function of the tokens specified
in token_constraints.

String tokens will be specified by S_TOKEN_, (e.g. S_(PAD)_) and integer
tokens will be specified as I_#_ (e.g. I_123_).
A_T_ will match any token that has not been specified in token_constraints.
Parenthesis, +, and * are supported.
_ will be escapable with a \ for tokens containing it (e.g. FOO\_BAR).

For example, a two-sequence BERT model may look as follows:
S_(CLS)_ A_T_+ S_(SEP)_ A_T_+ S_(SEP)_ S_(PAD)_*

Note: Support for this field is not yet implemented. Please do not use.
TODO(b/188095987): Remove warning once field is implemented.


    Specifies the location constraints as a function of the tokens specified
in token_constraints.

String tokens will be specified by S_TOKEN_, (e.g. S_(PAD)_) and integer
tokens will be specified as I_#_ (e.g. I_123_).
A_T_ will match any token that has not been specified in token_constraints.
Parenthesis, +, and * are supported.
_ will be escapable with a \ for tokens containing it (e.g. FOO\_BAR).

For example, a two-sequence BERT model may look as follows:
S_(CLS)_ A_T_+ S_(SEP)_ A_T_+ S_(SEP)_ S_(PAD)_*

Note: Support for this field is not yet implemented. Please do not use.
TODO(b/188095987): Remove warning once field is implemented.

    optional string location_constraint_regex = 4;

    returns

    The locationConstraintRegex.

  10. abstract def getLocationConstraintRegexBytes(): ByteString

    Specifies the location constraints as a function of the tokens specified
in token_constraints.

String tokens will be specified by S_TOKEN_, (e.g. S_(PAD)_) and integer
tokens will be specified as I_#_ (e.g. I_123_).
A_T_ will match any token that has not been specified in token_constraints.
Parenthesis, +, and * are supported.
_ will be escapable with a \ for tokens containing it (e.g. FOO\_BAR).

For example, a two-sequence BERT model may look as follows:
S_(CLS)_ A_T_+ S_(SEP)_ A_T_+ S_(SEP)_ S_(PAD)_*

Note: Support for this field is not yet implemented. Please do not use.
TODO(b/188095987): Remove warning once field is implemented.


    Specifies the location constraints as a function of the tokens specified
in token_constraints.

String tokens will be specified by S_TOKEN_, (e.g. S_(PAD)_) and integer
tokens will be specified as I_#_ (e.g. I_123_).
A_T_ will match any token that has not been specified in token_constraints.
Parenthesis, +, and * are supported.
_ will be escapable with a \ for tokens containing it (e.g. FOO\_BAR).

For example, a two-sequence BERT model may look as follows:
S_(CLS)_ A_T_+ S_(SEP)_ A_T_+ S_(SEP)_ S_(PAD)_*

Note: Support for this field is not yet implemented. Please do not use.
TODO(b/188095987): Remove warning once field is implemented.

    optional string location_constraint_regex = 4;

    returns

    The bytes for locationConstraintRegex.

  11. abstract def getOneofFieldDescriptor(oneof: OneofDescriptor): FieldDescriptor
    Definition Classes
    MessageOrBuilder
  12. abstract def getRepeatedField(field: FieldDescriptor, index: Int): AnyRef
    Definition Classes
    MessageOrBuilder
  13. abstract def getRepeatedFieldCount(field: FieldDescriptor): Int
    Definition Classes
    MessageOrBuilder
  14. abstract def getSequenceLengthConstraints(): SequenceLengthConstraints

    optional .tensorflow.metadata.v0.SequenceLengthConstraints sequence_length_constraints = 5;

    optional .tensorflow.metadata.v0.SequenceLengthConstraints sequence_length_constraints = 5;

    returns

    The sequenceLengthConstraints.

  15. abstract def getSequenceLengthConstraintsOrBuilder(): SequenceLengthConstraintsOrBuilder

    optional .tensorflow.metadata.v0.SequenceLengthConstraints sequence_length_constraints = 5;

  16. abstract def getTokenConstraints(index: Int): SequenceValueConstraints

    repeated .tensorflow.metadata.v0.SequenceValueConstraints token_constraints = 3;

  17. abstract def getTokenConstraintsCount(): Int

    repeated .tensorflow.metadata.v0.SequenceValueConstraints token_constraints = 3;

  18. abstract def getTokenConstraintsList(): List[SequenceValueConstraints]

    repeated .tensorflow.metadata.v0.SequenceValueConstraints token_constraints = 3;

  19. abstract def getTokenConstraintsOrBuilder(index: Int): SequenceValueConstraintsOrBuilder

    repeated .tensorflow.metadata.v0.SequenceValueConstraints token_constraints = 3;

  20. abstract def getTokenConstraintsOrBuilderList(): List[_ <: SequenceValueConstraintsOrBuilder]

    repeated .tensorflow.metadata.v0.SequenceValueConstraints token_constraints = 3;

  21. abstract def getUnknownFields(): UnknownFieldSet
    Definition Classes
    MessageOrBuilder
  22. abstract def getVocabulary(): String

    Name of the vocabulary associated with the NaturalLanguageDomain.
When computing and validating stats using TFDV,
tfdv.StatsOptions.vocab_paths should map this name to a vocabulary file.


    Name of the vocabulary associated with the NaturalLanguageDomain.
When computing and validating stats using TFDV,
tfdv.StatsOptions.vocab_paths should map this name to a vocabulary file.

    optional string vocabulary = 1;

    returns

    The vocabulary.

  23. abstract def getVocabularyBytes(): ByteString

    Name of the vocabulary associated with the NaturalLanguageDomain.
When computing and validating stats using TFDV,
tfdv.StatsOptions.vocab_paths should map this name to a vocabulary file.


    Name of the vocabulary associated with the NaturalLanguageDomain.
When computing and validating stats using TFDV,
tfdv.StatsOptions.vocab_paths should map this name to a vocabulary file.

    optional string vocabulary = 1;

    returns

    The bytes for vocabulary.

  24. abstract def hasCoverage(): Boolean

    optional .tensorflow.metadata.v0.FeatureCoverageConstraints coverage = 2;

    optional .tensorflow.metadata.v0.FeatureCoverageConstraints coverage = 2;

    returns

    Whether the coverage field is set.

  25. abstract def hasField(field: FieldDescriptor): Boolean
    Definition Classes
    MessageOrBuilder
  26. abstract def hasLocationConstraintRegex(): Boolean

    Specifies the location constraints as a function of the tokens specified
in token_constraints.

String tokens will be specified by S_TOKEN_, (e.g. S_(PAD)_) and integer
tokens will be specified as I_#_ (e.g. I_123_).
A_T_ will match any token that has not been specified in token_constraints.
Parenthesis, +, and * are supported.
_ will be escapable with a \ for tokens containing it (e.g. FOO\_BAR).

For example, a two-sequence BERT model may look as follows:
S_(CLS)_ A_T_+ S_(SEP)_ A_T_+ S_(SEP)_ S_(PAD)_*

Note: Support for this field is not yet implemented. Please do not use.
TODO(b/188095987): Remove warning once field is implemented.


    Specifies the location constraints as a function of the tokens specified
in token_constraints.

String tokens will be specified by S_TOKEN_, (e.g. S_(PAD)_) and integer
tokens will be specified as I_#_ (e.g. I_123_).
A_T_ will match any token that has not been specified in token_constraints.
Parenthesis, +, and * are supported.
_ will be escapable with a \ for tokens containing it (e.g. FOO\_BAR).

For example, a two-sequence BERT model may look as follows:
S_(CLS)_ A_T_+ S_(SEP)_ A_T_+ S_(SEP)_ S_(PAD)_*

Note: Support for this field is not yet implemented. Please do not use.
TODO(b/188095987): Remove warning once field is implemented.

    optional string location_constraint_regex = 4;

    returns

    Whether the locationConstraintRegex field is set.

  27. abstract def hasOneof(oneof: OneofDescriptor): Boolean
    Definition Classes
    MessageOrBuilder
  28. abstract def hasSequenceLengthConstraints(): Boolean

    optional .tensorflow.metadata.v0.SequenceLengthConstraints sequence_length_constraints = 5;

    optional .tensorflow.metadata.v0.SequenceLengthConstraints sequence_length_constraints = 5;

    returns

    Whether the sequenceLengthConstraints field is set.

  29. abstract def hasVocabulary(): Boolean

    Name of the vocabulary associated with the NaturalLanguageDomain.
When computing and validating stats using TFDV,
tfdv.StatsOptions.vocab_paths should map this name to a vocabulary file.


    Name of the vocabulary associated with the NaturalLanguageDomain.
When computing and validating stats using TFDV,
tfdv.StatsOptions.vocab_paths should map this name to a vocabulary file.

    optional string vocabulary = 1;

    returns

    Whether the vocabulary field is set.

  30. abstract def isInitialized(): Boolean
    Definition Classes
    MessageLiteOrBuilder

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
    AnyRef → Any
    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
    AnyRef
    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