final class WeightedNaturalLanguageStatistics extends GeneratedMessage with WeightedNaturalLanguageStatisticsOrBuilder
Statistics for a weighted feature with an NL domain.
Protobuf type tensorflow.metadata.v0.WeightedNaturalLanguageStatistics
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 - @Generated()
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 - WeightedNaturalLanguageStatistics.java
 
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- WeightedNaturalLanguageStatistics
 - WeightedNaturalLanguageStatisticsOrBuilder
 - GeneratedMessage
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 - AbstractMessage
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 - @throws(classOf[java.lang.CloneNotSupportedException]) @native()
 
 -   final  def eq(arg0: AnyRef): Boolean
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 -    def equals(obj: AnyRef): Boolean
- Definition Classes
 - WeightedNaturalLanguageStatistics → AbstractMessage → Message → AnyRef → Any
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 - @Override()
 
 -    def finalize(): Unit
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 - protected[lang]
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 - AnyRef
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 - @throws(classOf[java.lang.Throwable])
 
 -    def findInitializationErrors(): List[String]
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 - AbstractMessage → MessageOrBuilder
 
 -    def getAllFields(): Map[FieldDescriptor, AnyRef]
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 - GeneratedMessage → MessageOrBuilder
 
 -    def getAvgTokenLength(): Double
Weighted average token length.
Weighted average token length.
double avg_token_length = 2;- returns
 The avgTokenLength.
- Definition Classes
 - WeightedNaturalLanguageStatistics → WeightedNaturalLanguageStatisticsOrBuilder
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 - @Override()
 
 -   final  def getClass(): Class[_ <: AnyRef]
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 - AnyRef → Any
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 - @native()
 
 -    def getDefaultInstanceForType(): WeightedNaturalLanguageStatistics
- Definition Classes
 - WeightedNaturalLanguageStatistics → MessageOrBuilder → MessageLiteOrBuilder
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 - @Override()
 
 -    def getDescriptorForType(): Descriptor
- Definition Classes
 - GeneratedMessage → MessageOrBuilder
 
 -    def getFeatureCoverage(): Double
Weighted feature coverage.
Weighted feature coverage.
double feature_coverage = 1;- returns
 The featureCoverage.
- Definition Classes
 - WeightedNaturalLanguageStatistics → WeightedNaturalLanguageStatisticsOrBuilder
 - Annotations
 - @Override()
 
 -    def getField(field: FieldDescriptor): AnyRef
- Definition Classes
 - GeneratedMessage → MessageOrBuilder
 
 -    def getInitializationErrorString(): String
- Definition Classes
 - AbstractMessage → MessageOrBuilder
 
 -    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()
 
 -    def getOneofFieldDescriptor(oneof: OneofDescriptor): FieldDescriptor
- Definition Classes
 - GeneratedMessage → AbstractMessage → MessageOrBuilder
 
 -    def getParserForType(): Parser[WeightedNaturalLanguageStatistics]
- Definition Classes
 - WeightedNaturalLanguageStatistics → GeneratedMessage → Message → MessageLite
 - Annotations
 - @Override()
 
 -    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()
 
 -    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()
 
 -    def getRepeatedField(field: FieldDescriptor, index: Int): AnyRef
- Definition Classes
 - GeneratedMessage → MessageOrBuilder
 
 -    def getRepeatedFieldCount(field: FieldDescriptor): Int
- Definition Classes
 - GeneratedMessage → MessageOrBuilder
 
 -    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()
 
 -    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()
 
 -    def getSerializedSize(): Int
- Definition Classes
 - WeightedNaturalLanguageStatistics → GeneratedMessage → AbstractMessage → MessageLite
 - Annotations
 - @Override()
 
 -    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()
 
 -    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()
 
 -    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()
 
 -    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()
 
 -    def getUnknownFields(): UnknownFieldSet
- Definition Classes
 - GeneratedMessage → MessageOrBuilder
 
 -    def hasField(field: FieldDescriptor): Boolean
- Definition Classes
 - GeneratedMessage → MessageOrBuilder
 
 -    def hasOneof(oneof: OneofDescriptor): Boolean
- Definition Classes
 - GeneratedMessage → AbstractMessage → MessageOrBuilder
 
 -    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()
 
 -    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()
 
 -    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()
 
 -    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
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 - @Override()
 
 -    def hashCode(): Int
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 - WeightedNaturalLanguageStatistics → AbstractMessage → Message → AnyRef → Any
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 -    def internalGetFieldAccessorTable(): FieldAccessorTable
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 - protected[v0]
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 - WeightedNaturalLanguageStatistics → GeneratedMessage
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 -    def internalGetMapFieldReflection(fieldNumber: Int): MapFieldReflectionAccessor
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 - WeightedNaturalLanguageStatistics → GeneratedMessage → AbstractMessage → MessageLiteOrBuilder
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