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c

org.tensorflow.metadata.v0

NaturalLanguageStatistics

final class NaturalLanguageStatistics extends GeneratedMessageV3 with NaturalLanguageStatisticsOrBuilder

Statistics for a feature containing a NL domain.

Protobuf type tensorflow.metadata.v0.NaturalLanguageStatistics

Source
NaturalLanguageStatistics.java
Linear Supertypes
NaturalLanguageStatisticsOrBuilder, GeneratedMessageV3, Serializable, AbstractMessage, Message, MessageOrBuilder, AbstractMessageLite[MessageType, BuilderType], MessageLite, MessageLiteOrBuilder, AnyRef, Any
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Inherited
  1. NaturalLanguageStatistics
  2. NaturalLanguageStatisticsOrBuilder
  3. GeneratedMessageV3
  4. Serializable
  5. AbstractMessage
  6. Message
  7. MessageOrBuilder
  8. AbstractMessageLite
  9. MessageLite
  10. MessageLiteOrBuilder
  11. AnyRef
  12. Any
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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
    AnyRef
    Annotations
    @throws(classOf[java.lang.CloneNotSupportedException]) @native()
  6. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  7. def equals(obj: AnyRef): Boolean
    Definition Classes
    NaturalLanguageStatistics → AbstractMessage → Message → AnyRef → Any
    Annotations
    @Override()
  8. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.Throwable])
  9. def findInitializationErrors(): List[String]
    Definition Classes
    AbstractMessage → MessageOrBuilder
  10. def getAllFields(): Map[FieldDescriptor, AnyRef]
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  11. 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.

    Definition Classes
    NaturalLanguageStatistics → NaturalLanguageStatisticsOrBuilder
    Annotations
    @Override()
  12. final def getClass(): Class[_ <: AnyRef]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  13. def getDefaultInstanceForType(): NaturalLanguageStatistics
    Definition Classes
    NaturalLanguageStatistics → MessageOrBuilder → MessageLiteOrBuilder
    Annotations
    @Override()
  14. def getDescriptorForType(): Descriptor
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  15. 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.

    Definition Classes
    NaturalLanguageStatistics → NaturalLanguageStatisticsOrBuilder
    Annotations
    @Override()
  16. def getField(field: FieldDescriptor): AnyRef
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  17. def getInitializationErrorString(): String
    Definition Classes
    AbstractMessage → MessageOrBuilder
  18. 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.

    Definition Classes
    NaturalLanguageStatistics → NaturalLanguageStatisticsOrBuilder
    Annotations
    @Override()
  19. def getMaxSequenceLength(): Long

    int64 max_sequence_length = 11;

    int64 max_sequence_length = 11;

    returns

    The maxSequenceLength.

    Definition Classes
    NaturalLanguageStatistics → NaturalLanguageStatisticsOrBuilder
    Annotations
    @Override()
  20. def getMinSequenceLength(): Long

    Min / max sequence lengths.


    Min / max sequence lengths.

    int64 min_sequence_length = 10;

    returns

    The minSequenceLength.

    Definition Classes
    NaturalLanguageStatistics → NaturalLanguageStatisticsOrBuilder
    Annotations
    @Override()
  21. def getOneofFieldDescriptor(oneof: OneofDescriptor): FieldDescriptor
    Definition Classes
    GeneratedMessageV3 → AbstractMessage → MessageOrBuilder
  22. def getParserForType(): Parser[NaturalLanguageStatistics]
    Definition Classes
    NaturalLanguageStatistics → GeneratedMessageV3 → Message → MessageLite
    Annotations
    @Override()
  23. 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.

    Definition Classes
    NaturalLanguageStatistics → NaturalLanguageStatisticsOrBuilder
    Annotations
    @Override()
  24. 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;

    Definition Classes
    NaturalLanguageStatistics → NaturalLanguageStatisticsOrBuilder
    Annotations
    @Override()
  25. def getRepeatedField(field: FieldDescriptor, index: Int): AnyRef
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  26. def getRepeatedFieldCount(field: FieldDescriptor): Int
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  27. 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.

    Definition Classes
    NaturalLanguageStatistics → NaturalLanguageStatisticsOrBuilder
  28. 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.

    Definition Classes
    NaturalLanguageStatistics → NaturalLanguageStatisticsOrBuilder
  29. 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.

    Definition Classes
    NaturalLanguageStatistics → NaturalLanguageStatisticsOrBuilder
  30. def getReportedSequencesList(): ProtocolStringList

    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.

    Definition Classes
    NaturalLanguageStatistics → NaturalLanguageStatisticsOrBuilder
  31. 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
    NaturalLanguageStatistics → NaturalLanguageStatisticsOrBuilder
    Annotations
    @Override()
  32. 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
    NaturalLanguageStatistics → NaturalLanguageStatisticsOrBuilder
    Annotations
    @Override()
  33. def getSerializedSize(): Int
    Definition Classes
    NaturalLanguageStatistics → GeneratedMessageV3 → AbstractMessage → MessageLite
    Annotations
    @Override()
  34. 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
    NaturalLanguageStatistics → NaturalLanguageStatisticsOrBuilder
    Annotations
    @Override()
  35. 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
    NaturalLanguageStatistics → NaturalLanguageStatisticsOrBuilder
    Annotations
    @Override()
  36. 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;

    Definition Classes
    NaturalLanguageStatistics → NaturalLanguageStatisticsOrBuilder
    Annotations
    @Override()
  37. 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;

    Definition Classes
    NaturalLanguageStatistics → NaturalLanguageStatisticsOrBuilder
    Annotations
    @Override()
  38. 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;

    Definition Classes
    NaturalLanguageStatistics → NaturalLanguageStatisticsOrBuilder
    Annotations
    @Override()
  39. 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;

    Definition Classes
    NaturalLanguageStatistics → NaturalLanguageStatisticsOrBuilder
    Annotations
    @Override()
  40. 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;

    Definition Classes
    NaturalLanguageStatistics → NaturalLanguageStatisticsOrBuilder
    Annotations
    @Override()
  41. def getUnknownFields(): UnknownFieldSet
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  42. def getWeightedNlStatistics(): WeightedNaturalLanguageStatistics

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

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

    returns

    The weightedNlStatistics.

    Definition Classes
    NaturalLanguageStatistics → NaturalLanguageStatisticsOrBuilder
    Annotations
    @Override()
  43. def getWeightedNlStatisticsOrBuilder(): WeightedNaturalLanguageStatisticsOrBuilder

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

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

    Definition Classes
    NaturalLanguageStatistics → NaturalLanguageStatisticsOrBuilder
    Annotations
    @Override()
  44. def hasField(field: FieldDescriptor): Boolean
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  45. def hasOneof(oneof: OneofDescriptor): Boolean
    Definition Classes
    GeneratedMessageV3 → AbstractMessage → MessageOrBuilder
  46. 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.

    Definition Classes
    NaturalLanguageStatistics → NaturalLanguageStatisticsOrBuilder
    Annotations
    @Override()
  47. 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
    NaturalLanguageStatistics → NaturalLanguageStatisticsOrBuilder
    Annotations
    @Override()
  48. 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
    NaturalLanguageStatistics → NaturalLanguageStatisticsOrBuilder
    Annotations
    @Override()
  49. 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.

    Definition Classes
    NaturalLanguageStatistics → NaturalLanguageStatisticsOrBuilder
    Annotations
    @Override()
  50. def hashCode(): Int
    Definition Classes
    NaturalLanguageStatistics → AbstractMessage → Message → AnyRef → Any
    Annotations
    @Override()
  51. def internalGetFieldAccessorTable(): FieldAccessorTable
    Attributes
    protected[v0]
    Definition Classes
    NaturalLanguageStatistics → GeneratedMessageV3
    Annotations
    @Override()
  52. def internalGetMapFieldReflection(fieldNumber: Int): MapFieldReflectionAccessor
    Attributes
    protected[protobuf]
    Definition Classes
    GeneratedMessageV3
  53. final def isInitialized(): Boolean
    Definition Classes
    NaturalLanguageStatistics → GeneratedMessageV3 → AbstractMessage → MessageLiteOrBuilder
    Annotations
    @Override()
  54. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  55. def makeExtensionsImmutable(): Unit
    Attributes
    protected[protobuf]
    Definition Classes
    GeneratedMessageV3
  56. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  57. def newBuilderForType(parent: BuilderParent): Builder
    Attributes
    protected[v0]
    Definition Classes
    NaturalLanguageStatistics → GeneratedMessageV3
    Annotations
    @Override()
  58. def newBuilderForType(): Builder
    Definition Classes
    NaturalLanguageStatistics → Message → MessageLite
    Annotations
    @Override()
  59. def newBuilderForType(parent: BuilderParent): Builder
    Attributes
    protected[protobuf]
    Definition Classes
    GeneratedMessageV3 → AbstractMessage
  60. def newInstance(unused: UnusedPrivateParameter): AnyRef
    Attributes
    protected[v0]
    Definition Classes
    NaturalLanguageStatistics → GeneratedMessageV3
    Annotations
    @Override() @SuppressWarnings()
  61. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  62. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  63. def parseUnknownField(input: CodedInputStream, unknownFields: Builder, extensionRegistry: ExtensionRegistryLite, tag: Int): Boolean
    Attributes
    protected[protobuf]
    Definition Classes
    GeneratedMessageV3
    Annotations
    @throws(classOf[java.io.IOException])
  64. def parseUnknownFieldProto3(input: CodedInputStream, unknownFields: Builder, extensionRegistry: ExtensionRegistryLite, tag: Int): Boolean
    Attributes
    protected[protobuf]
    Definition Classes
    GeneratedMessageV3
    Annotations
    @throws(classOf[java.io.IOException])
  65. final def synchronized[T0](arg0: => T0): T0
    Definition Classes
    AnyRef
  66. def toBuilder(): Builder
    Definition Classes
    NaturalLanguageStatistics → Message → MessageLite
    Annotations
    @Override()
  67. def toByteArray(): Array[Byte]
    Definition Classes
    AbstractMessageLite → MessageLite
  68. def toByteString(): ByteString
    Definition Classes
    AbstractMessageLite → MessageLite
  69. final def toString(): String
    Definition Classes
    AbstractMessage → Message → AnyRef → Any
  70. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])
  71. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])
  72. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException]) @native()
  73. def writeDelimitedTo(output: OutputStream): Unit
    Definition Classes
    AbstractMessageLite → MessageLite
    Annotations
    @throws(classOf[java.io.IOException])
  74. def writeReplace(): AnyRef
    Attributes
    protected[protobuf]
    Definition Classes
    GeneratedMessageV3
    Annotations
    @throws(classOf[java.io.ObjectStreamException])
  75. def writeTo(output: CodedOutputStream): Unit
    Definition Classes
    NaturalLanguageStatistics → GeneratedMessageV3 → AbstractMessage → MessageLite
    Annotations
    @Override()
  76. def writeTo(output: OutputStream): Unit
    Definition Classes
    AbstractMessageLite → MessageLite
    Annotations
    @throws(classOf[java.io.IOException])

Deprecated Value Members

  1. def internalGetMapField(fieldNumber: Int): MapField[_ <: AnyRef, _ <: AnyRef]
    Attributes
    protected[protobuf]
    Definition Classes
    GeneratedMessageV3
    Annotations
    @Deprecated
    Deprecated
  2. def mergeFromAndMakeImmutableInternal(input: CodedInputStream, extensionRegistry: ExtensionRegistryLite): Unit
    Attributes
    protected[protobuf]
    Definition Classes
    GeneratedMessageV3
    Annotations
    @throws(classOf[com.google.protobuf.InvalidProtocolBufferException]) @Deprecated
    Deprecated

Inherited from NaturalLanguageStatisticsOrBuilder

Inherited from GeneratedMessageV3

Inherited from Serializable

Inherited from AbstractMessage

Inherited from Message

Inherited from MessageOrBuilder

Inherited from AbstractMessageLite[MessageType, BuilderType]

Inherited from MessageLite

Inherited from MessageLiteOrBuilder

Inherited from AnyRef

Inherited from Any

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