Packages

c

org.tensorflow.metadata.v0

WeightedNaturalLanguageStatistics

final class WeightedNaturalLanguageStatistics extends GeneratedMessageV3 with WeightedNaturalLanguageStatisticsOrBuilder

Statistics for a weighted feature with an NL domain.

Protobuf type tensorflow.metadata.v0.WeightedNaturalLanguageStatistics

Source
WeightedNaturalLanguageStatistics.java
Linear Supertypes
WeightedNaturalLanguageStatisticsOrBuilder, GeneratedMessageV3, Serializable, AbstractMessage, Message, MessageOrBuilder, AbstractMessageLite[MessageType, BuilderType], MessageLite, MessageLiteOrBuilder, AnyRef, Any
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Inherited
  1. WeightedNaturalLanguageStatistics
  2. WeightedNaturalLanguageStatisticsOrBuilder
  3. GeneratedMessageV3
  4. Serializable
  5. AbstractMessage
  6. Message
  7. MessageOrBuilder
  8. AbstractMessageLite
  9. MessageLite
  10. MessageLiteOrBuilder
  11. AnyRef
  12. Any
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Visibility
  1. Public
  2. Protected

Value Members

  1. def equals(obj: AnyRef): Boolean
    Definition Classes
    WeightedNaturalLanguageStatistics → AbstractMessage → Message → AnyRef → Any
    Annotations
    @Override()
  2. def findInitializationErrors(): List[String]
    Definition Classes
    AbstractMessage → MessageOrBuilder
  3. def getAllFields(): Map[FieldDescriptor, AnyRef]
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  4. def getAvgTokenLength(): Double

    Weighted average token length.


    Weighted average token length.

    double avg_token_length = 2;

    returns

    The avgTokenLength.

    Definition Classes
    WeightedNaturalLanguageStatistics → WeightedNaturalLanguageStatisticsOrBuilder
    Annotations
    @Override()
  5. def getDefaultInstanceForType(): WeightedNaturalLanguageStatistics
    Definition Classes
    WeightedNaturalLanguageStatistics → MessageOrBuilder → MessageLiteOrBuilder
    Annotations
    @Override()
  6. def getDescriptorForType(): Descriptor
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  7. def getFeatureCoverage(): Double

    Weighted feature coverage.


    Weighted feature coverage.

    double feature_coverage = 1;

    returns

    The featureCoverage.

    Definition Classes
    WeightedNaturalLanguageStatistics → WeightedNaturalLanguageStatisticsOrBuilder
    Annotations
    @Override()
  8. def getField(field: FieldDescriptor): AnyRef
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  9. def getInitializationErrorString(): String
    Definition Classes
    AbstractMessage → MessageOrBuilder
  10. 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.

    Definition Classes
    WeightedNaturalLanguageStatistics → WeightedNaturalLanguageStatisticsOrBuilder
    Annotations
    @Override()
  11. def getOneofFieldDescriptor(oneof: OneofDescriptor): FieldDescriptor
    Definition Classes
    GeneratedMessageV3 → AbstractMessage → MessageOrBuilder
  12. def getParserForType(): Parser[WeightedNaturalLanguageStatistics]
    Definition Classes
    WeightedNaturalLanguageStatistics → GeneratedMessageV3 → Message → MessageLite
    Annotations
    @Override()
  13. 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.

    Definition Classes
    WeightedNaturalLanguageStatistics → WeightedNaturalLanguageStatisticsOrBuilder
    Annotations
    @Override()
  14. 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;

    Definition Classes
    WeightedNaturalLanguageStatistics → WeightedNaturalLanguageStatisticsOrBuilder
    Annotations
    @Override()
  15. def getRepeatedField(field: FieldDescriptor, index: Int): AnyRef
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  16. def getRepeatedFieldCount(field: FieldDescriptor): Int
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  17. 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.

    Definition Classes
    WeightedNaturalLanguageStatistics → WeightedNaturalLanguageStatisticsOrBuilder
    Annotations
    @Override()
  18. 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;

    Definition Classes
    WeightedNaturalLanguageStatistics → WeightedNaturalLanguageStatisticsOrBuilder
    Annotations
    @Override()
  19. def getSerializedSize(): Int
    Definition Classes
    WeightedNaturalLanguageStatistics → GeneratedMessageV3 → AbstractMessage → MessageLite
    Annotations
    @Override()
  20. 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.

    Definition Classes
    WeightedNaturalLanguageStatistics → WeightedNaturalLanguageStatisticsOrBuilder
    Annotations
    @Override()
  21. 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;

    Definition Classes
    WeightedNaturalLanguageStatistics → WeightedNaturalLanguageStatisticsOrBuilder
    Annotations
    @Override()
  22. def getTokenStatistics(): TokenStatistics

    Per-token weighted statistics.


    Per-token weighted statistics.

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

    returns

    The tokenStatistics.

    Definition Classes
    WeightedNaturalLanguageStatistics → WeightedNaturalLanguageStatisticsOrBuilder
    Annotations
    @Override()
  23. def getTokenStatisticsOrBuilder(): TokenStatisticsOrBuilder

    Per-token weighted statistics.


    Per-token weighted statistics.

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

    Definition Classes
    WeightedNaturalLanguageStatistics → WeightedNaturalLanguageStatisticsOrBuilder
    Annotations
    @Override()
  24. def getUnknownFields(): UnknownFieldSet
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  25. def hasField(field: FieldDescriptor): Boolean
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  26. def hasOneof(oneof: OneofDescriptor): Boolean
    Definition Classes
    GeneratedMessageV3 → AbstractMessage → MessageOrBuilder
  27. 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.

    Definition Classes
    WeightedNaturalLanguageStatistics → WeightedNaturalLanguageStatisticsOrBuilder
    Annotations
    @Override()
  28. 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.

    Definition Classes
    WeightedNaturalLanguageStatistics → WeightedNaturalLanguageStatisticsOrBuilder
    Annotations
    @Override()
  29. 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.

    Definition Classes
    WeightedNaturalLanguageStatistics → WeightedNaturalLanguageStatisticsOrBuilder
    Annotations
    @Override()
  30. 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.

    Definition Classes
    WeightedNaturalLanguageStatistics → WeightedNaturalLanguageStatisticsOrBuilder
    Annotations
    @Override()
  31. def hashCode(): Int
    Definition Classes
    WeightedNaturalLanguageStatistics → AbstractMessage → Message → AnyRef → Any
    Annotations
    @Override()
  32. final def isInitialized(): Boolean
    Definition Classes
    WeightedNaturalLanguageStatistics → GeneratedMessageV3 → AbstractMessage → MessageLiteOrBuilder
    Annotations
    @Override()
  33. def newBuilderForType(): Builder
    Definition Classes
    WeightedNaturalLanguageStatistics → Message → MessageLite
    Annotations
    @Override()
  34. def toBuilder(): Builder
    Definition Classes
    WeightedNaturalLanguageStatistics → Message → MessageLite
    Annotations
    @Override()
  35. def toByteArray(): Array[Byte]
    Definition Classes
    AbstractMessageLite → MessageLite
  36. def toByteString(): ByteString
    Definition Classes
    AbstractMessageLite → MessageLite
  37. final def toString(): String
    Definition Classes
    AbstractMessage → Message → AnyRef → Any
  38. def writeDelimitedTo(output: OutputStream): Unit
    Definition Classes
    AbstractMessageLite → MessageLite
    Annotations
    @throws(classOf[java.io.IOException])
  39. def writeTo(output: CodedOutputStream): Unit
    Definition Classes
    WeightedNaturalLanguageStatistics → GeneratedMessageV3 → AbstractMessage → MessageLite
    Annotations
    @Override()
  40. def writeTo(output: OutputStream): Unit
    Definition Classes
    AbstractMessageLite → MessageLite
    Annotations
    @throws(classOf[java.io.IOException])