trait NaturalLanguageDomainOrBuilder extends MessageOrBuilder
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- abstract def findInitializationErrors(): List[String]
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- MessageOrBuilder
- abstract def getAllFields(): Map[FieldDescriptor, AnyRef]
- Definition Classes
- MessageOrBuilder
- abstract def getCoverage(): FeatureCoverageConstraints
optional .tensorflow.metadata.v0.FeatureCoverageConstraints coverage = 2;optional .tensorflow.metadata.v0.FeatureCoverageConstraints coverage = 2;- returns
The coverage.
- abstract def getCoverageOrBuilder(): FeatureCoverageConstraintsOrBuilder
optional .tensorflow.metadata.v0.FeatureCoverageConstraints coverage = 2; - abstract def getDefaultInstanceForType(): Message
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- MessageOrBuilder → MessageLiteOrBuilder
- abstract def getDescriptorForType(): Descriptor
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- MessageOrBuilder
- abstract def getField(arg0: FieldDescriptor): AnyRef
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- MessageOrBuilder
- abstract def getInitializationErrorString(): String
- Definition Classes
- MessageOrBuilder
- 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)_*
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)_*
optional string location_constraint_regex = 4;- returns
The locationConstraintRegex.
- 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)_*
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)_*
optional string location_constraint_regex = 4;- returns
The bytes for locationConstraintRegex.
- abstract def getOneofFieldDescriptor(arg0: OneofDescriptor): FieldDescriptor
- Definition Classes
- MessageOrBuilder
- abstract def getRepeatedField(arg0: FieldDescriptor, arg1: Int): AnyRef
- Definition Classes
- MessageOrBuilder
- abstract def getRepeatedFieldCount(arg0: FieldDescriptor): Int
- Definition Classes
- MessageOrBuilder
- abstract def getTokenConstraints(index: Int): SequenceValueConstraints
repeated .tensorflow.metadata.v0.SequenceValueConstraints token_constraints = 3; - abstract def getTokenConstraintsCount(): Int
repeated .tensorflow.metadata.v0.SequenceValueConstraints token_constraints = 3; - abstract def getTokenConstraintsList(): List[SequenceValueConstraints]
repeated .tensorflow.metadata.v0.SequenceValueConstraints token_constraints = 3; - abstract def getTokenConstraintsOrBuilder(index: Int): SequenceValueConstraintsOrBuilder
repeated .tensorflow.metadata.v0.SequenceValueConstraints token_constraints = 3; - abstract def getTokenConstraintsOrBuilderList(): List[_ <: SequenceValueConstraintsOrBuilder]
repeated .tensorflow.metadata.v0.SequenceValueConstraints token_constraints = 3; - abstract def getUnknownFields(): UnknownFieldSet
- Definition Classes
- MessageOrBuilder
- 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.
- 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.
- 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.
- abstract def hasField(arg0: FieldDescriptor): Boolean
- Definition Classes
- MessageOrBuilder
- 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)_*
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)_*
optional string location_constraint_regex = 4;- returns
Whether the locationConstraintRegex field is set.
- abstract def hasOneof(arg0: OneofDescriptor): Boolean
- Definition Classes
- MessageOrBuilder
- 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.
- abstract def isInitialized(): Boolean
- Definition Classes
- MessageLiteOrBuilder
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