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org.tensorflow.metadata.v0

NaturalLanguageStatisticsOrBuilder

trait NaturalLanguageStatisticsOrBuilder extends MessageOrBuilder

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  1. NaturalLanguageStatisticsOrBuilder
  2. MessageOrBuilder
  3. MessageLiteOrBuilder
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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 getAvgTokenLength(): Double

    Average token length of tokens used by the feature.


    Average token length of tokens used by the feature.

    double avg_token_length = 2;

    returns

    The avgTokenLength.

  4. abstract def getDefaultInstanceForType(): Message
    Definition Classes
    MessageOrBuilder → MessageLiteOrBuilder
  5. abstract def getDescriptorForType(): Descriptor
    Definition Classes
    MessageOrBuilder
  6. abstract def getFeatureCoverage(): Double

    Fraction of feature input tokens considered in-vocab.


    Fraction of feature input tokens considered in-vocab.

    double feature_coverage = 1;

    returns

    The featureCoverage.

  7. abstract def getField(field: FieldDescriptor): AnyRef
    Definition Classes
    MessageOrBuilder
  8. abstract def getInitializationErrorString(): String
    Definition Classes
    MessageOrBuilder
  9. abstract def getLocationMisses(): Long

    Number of of sequences which do not match the location constraint.


    Number of of sequences which do not match the location constraint.

    int64 location_misses = 4;

    returns

    The locationMisses.

  10. abstract def getMaxSequenceLength(): Long

    int64 max_sequence_length = 11;

    int64 max_sequence_length = 11;

    returns

    The maxSequenceLength.

  11. abstract def getMinSequenceLength(): Long

    Min / max sequence lengths.


    Min / max sequence lengths.

    int64 min_sequence_length = 10;

    returns

    The minSequenceLength.

  12. abstract def getOneofFieldDescriptor(oneof: OneofDescriptor): FieldDescriptor
    Definition Classes
    MessageOrBuilder
  13. abstract def getRankHistogram(): RankHistogram

    The rank histogram for the tokens of the feature.
The rank is used to measure of how commonly the token is found in the
dataset. The most common token would have a rank of 1, with the second-most
common value having a rank of 2, and so on.


    The rank histogram for the tokens of the feature.
The rank is used to measure of how commonly the token is found in the
dataset. The most common token would have a rank of 1, with the second-most
common value having a rank of 2, and so on.

    .tensorflow.metadata.v0.RankHistogram rank_histogram = 7;

    returns

    The rankHistogram.

  14. abstract def getRankHistogramOrBuilder(): RankHistogramOrBuilder

    The rank histogram for the tokens of the feature.
The rank is used to measure of how commonly the token is found in the
dataset. The most common token would have a rank of 1, with the second-most
common value having a rank of 2, and so on.


    The rank histogram for the tokens of the feature.
The rank is used to measure of how commonly the token is found in the
dataset. The most common token would have a rank of 1, with the second-most
common value having a rank of 2, and so on.

    .tensorflow.metadata.v0.RankHistogram rank_histogram = 7;

  15. abstract def getRepeatedField(field: FieldDescriptor, index: Int): AnyRef
    Definition Classes
    MessageOrBuilder
  16. abstract def getRepeatedFieldCount(field: FieldDescriptor): Int
    Definition Classes
    MessageOrBuilder
  17. abstract def getReportedSequences(index: Int): String

    Reported sequences that are sampled from the input and have small
avg_token_length, low feature converage, or do not match the location
regex.


    Reported sequences that are sampled from the input and have small
avg_token_length, low feature converage, or do not match the location
regex.

    repeated string reported_sequences = 5;

    index

    The index of the element to return.

    returns

    The reportedSequences at the given index.

  18. abstract def getReportedSequencesBytes(index: Int): ByteString

    Reported sequences that are sampled from the input and have small
avg_token_length, low feature converage, or do not match the location
regex.


    Reported sequences that are sampled from the input and have small
avg_token_length, low feature converage, or do not match the location
regex.

    repeated string reported_sequences = 5;

    index

    The index of the value to return.

    returns

    The bytes of the reportedSequences at the given index.

  19. abstract def getReportedSequencesCount(): Int

    Reported sequences that are sampled from the input and have small
avg_token_length, low feature converage, or do not match the location
regex.


    Reported sequences that are sampled from the input and have small
avg_token_length, low feature converage, or do not match the location
regex.

    repeated string reported_sequences = 5;

    returns

    The count of reportedSequences.

  20. abstract def getReportedSequencesList(): List[String]

    Reported sequences that are sampled from the input and have small
avg_token_length, low feature converage, or do not match the location
regex.


    Reported sequences that are sampled from the input and have small
avg_token_length, low feature converage, or do not match the location
regex.

    repeated string reported_sequences = 5;

    returns

    A list containing the reportedSequences.

  21. abstract def getSequenceLengthHistogram(): Histogram

    Histogram containing the distribution of sequence lengths.


    Histogram containing the distribution of sequence lengths.

    .tensorflow.metadata.v0.Histogram sequence_length_histogram = 9;

    returns

    The sequenceLengthHistogram.

  22. abstract def getSequenceLengthHistogramOrBuilder(): HistogramOrBuilder

    Histogram containing the distribution of sequence lengths.


    Histogram containing the distribution of sequence lengths.

    .tensorflow.metadata.v0.Histogram sequence_length_histogram = 9;

  23. abstract def getTokenLengthHistogram(): Histogram

    Histogram containing the distribution of token lengths.


    Histogram containing the distribution of token lengths.

    .tensorflow.metadata.v0.Histogram token_length_histogram = 3;

    returns

    The tokenLengthHistogram.

  24. abstract def getTokenLengthHistogramOrBuilder(): HistogramOrBuilder

    Histogram containing the distribution of token lengths.


    Histogram containing the distribution of token lengths.

    .tensorflow.metadata.v0.Histogram token_length_histogram = 3;

  25. abstract def getTokenStatistics(index: Int): TokenStatistics

    Statistics for specified tokens. TokenStatistics are only reported for
tokens specified in SequenceValueConstraints in the schema.


    Statistics for specified tokens. TokenStatistics are only reported for
tokens specified in SequenceValueConstraints in the schema.

    repeated .tensorflow.metadata.v0.NaturalLanguageStatistics.TokenStatistics token_statistics = 6;

  26. abstract def getTokenStatisticsCount(): Int

    Statistics for specified tokens. TokenStatistics are only reported for
tokens specified in SequenceValueConstraints in the schema.


    Statistics for specified tokens. TokenStatistics are only reported for
tokens specified in SequenceValueConstraints in the schema.

    repeated .tensorflow.metadata.v0.NaturalLanguageStatistics.TokenStatistics token_statistics = 6;

  27. abstract def getTokenStatisticsList(): List[TokenStatistics]

    Statistics for specified tokens. TokenStatistics are only reported for
tokens specified in SequenceValueConstraints in the schema.


    Statistics for specified tokens. TokenStatistics are only reported for
tokens specified in SequenceValueConstraints in the schema.

    repeated .tensorflow.metadata.v0.NaturalLanguageStatistics.TokenStatistics token_statistics = 6;

  28. abstract def getTokenStatisticsOrBuilder(index: Int): TokenStatisticsOrBuilder

    Statistics for specified tokens. TokenStatistics are only reported for
tokens specified in SequenceValueConstraints in the schema.


    Statistics for specified tokens. TokenStatistics are only reported for
tokens specified in SequenceValueConstraints in the schema.

    repeated .tensorflow.metadata.v0.NaturalLanguageStatistics.TokenStatistics token_statistics = 6;

  29. abstract def getTokenStatisticsOrBuilderList(): List[_ <: TokenStatisticsOrBuilder]

    Statistics for specified tokens. TokenStatistics are only reported for
tokens specified in SequenceValueConstraints in the schema.


    Statistics for specified tokens. TokenStatistics are only reported for
tokens specified in SequenceValueConstraints in the schema.

    repeated .tensorflow.metadata.v0.NaturalLanguageStatistics.TokenStatistics token_statistics = 6;

  30. abstract def getUnknownFields(): UnknownFieldSet
    Definition Classes
    MessageOrBuilder
  31. abstract def getWeightedNlStatistics(): WeightedNaturalLanguageStatistics

    .tensorflow.metadata.v0.WeightedNaturalLanguageStatistics weighted_nl_statistics = 8;

    .tensorflow.metadata.v0.WeightedNaturalLanguageStatistics weighted_nl_statistics = 8;

    returns

    The weightedNlStatistics.

  32. abstract def getWeightedNlStatisticsOrBuilder(): WeightedNaturalLanguageStatisticsOrBuilder

    .tensorflow.metadata.v0.WeightedNaturalLanguageStatistics weighted_nl_statistics = 8;

  33. abstract def hasField(field: FieldDescriptor): Boolean
    Definition Classes
    MessageOrBuilder
  34. abstract def hasOneof(oneof: OneofDescriptor): Boolean
    Definition Classes
    MessageOrBuilder
  35. abstract def hasRankHistogram(): Boolean

    The rank histogram for the tokens of the feature.
The rank is used to measure of how commonly the token is found in the
dataset. The most common token would have a rank of 1, with the second-most
common value having a rank of 2, and so on.


    The rank histogram for the tokens of the feature.
The rank is used to measure of how commonly the token is found in the
dataset. The most common token would have a rank of 1, with the second-most
common value having a rank of 2, and so on.

    .tensorflow.metadata.v0.RankHistogram rank_histogram = 7;

    returns

    Whether the rankHistogram field is set.

  36. abstract def hasSequenceLengthHistogram(): Boolean

    Histogram containing the distribution of sequence lengths.


    Histogram containing the distribution of sequence lengths.

    .tensorflow.metadata.v0.Histogram sequence_length_histogram = 9;

    returns

    Whether the sequenceLengthHistogram field is set.

  37. abstract def hasTokenLengthHistogram(): Boolean

    Histogram containing the distribution of token lengths.


    Histogram containing the distribution of token lengths.

    .tensorflow.metadata.v0.Histogram token_length_histogram = 3;

    returns

    Whether the tokenLengthHistogram field is set.

  38. abstract def hasWeightedNlStatistics(): Boolean

    .tensorflow.metadata.v0.WeightedNaturalLanguageStatistics weighted_nl_statistics = 8;

    .tensorflow.metadata.v0.WeightedNaturalLanguageStatistics weighted_nl_statistics = 8;

    returns

    Whether the weightedNlStatistics field is set.

  39. 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
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    @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

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