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org.tensorflow.metadata.v0

WeightedNaturalLanguageStatisticsOrBuilder

trait WeightedNaturalLanguageStatisticsOrBuilder extends MessageOrBuilder

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  1. WeightedNaturalLanguageStatisticsOrBuilder
  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

    Weighted average token length.
    

    Weighted average token length.
    

    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

    Weighted feature coverage.
    

    Weighted feature coverage.
    

    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(): Double

    Weighted number of sequences that do not match the location constraint.
    

    Weighted number of sequences that do not match the location constraint.
    

    double location_misses = 4;

    returns

    The locationMisses.

  10. abstract def getOneofFieldDescriptor(oneof: OneofDescriptor): FieldDescriptor
    Definition Classes
    MessageOrBuilder
  11. abstract def getRankHistogram(): RankHistogram

    The rank histogram with the weighted tokens for the feature.
    

    The rank histogram with the weighted tokens for the feature.
    

    .tensorflow.metadata.v0.RankHistogram rank_histogram = 6;

    returns

    The rankHistogram.

  12. abstract def getRankHistogramOrBuilder(): RankHistogramOrBuilder

    The rank histogram with the weighted tokens for the feature.
    

    The rank histogram with the weighted tokens for the feature.
    

    .tensorflow.metadata.v0.RankHistogram rank_histogram = 6;

  13. abstract def getRepeatedField(field: FieldDescriptor, index: Int): AnyRef
    Definition Classes
    MessageOrBuilder
  14. abstract def getRepeatedFieldCount(field: FieldDescriptor): Int
    Definition Classes
    MessageOrBuilder
  15. 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.

  16. 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;

  17. 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.

  18. 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;

  19. abstract def getTokenStatistics(): TokenStatistics

    Per-token weighted statistics.
    

    Per-token weighted statistics.
    

    .tensorflow.metadata.v0.NaturalLanguageStatistics.TokenStatistics token_statistics = 5;

    returns

    The tokenStatistics.

  20. abstract def getTokenStatisticsOrBuilder(): TokenStatisticsOrBuilder

    Per-token weighted statistics.
    

    Per-token weighted statistics.
    

    .tensorflow.metadata.v0.NaturalLanguageStatistics.TokenStatistics token_statistics = 5;

  21. abstract def getUnknownFields(): UnknownFieldSet
    Definition Classes
    MessageOrBuilder
  22. abstract def hasField(field: FieldDescriptor): Boolean
    Definition Classes
    MessageOrBuilder
  23. abstract def hasOneof(oneof: OneofDescriptor): Boolean
    Definition Classes
    MessageOrBuilder
  24. abstract def hasRankHistogram(): Boolean

    The rank histogram with the weighted tokens for the feature.
    

    The rank histogram with the weighted tokens for the feature.
    

    .tensorflow.metadata.v0.RankHistogram rank_histogram = 6;

    returns

    Whether the rankHistogram field is set.

  25. 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.

  26. 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.

  27. abstract def hasTokenStatistics(): Boolean

    Per-token weighted statistics.
    

    Per-token weighted statistics.
    

    .tensorflow.metadata.v0.NaturalLanguageStatistics.TokenStatistics token_statistics = 5;

    returns

    Whether the tokenStatistics field is set.

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