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t

org.tensorflow.metadata.v0

StringStatisticsOrBuilder

trait StringStatisticsOrBuilder extends MessageOrBuilder

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  1. StringStatisticsOrBuilder
  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 getAvgLength(): Float

    The average length of the values


    The average length of the values

    float avg_length = 4;

    returns

    The avgLength.

  4. abstract def getCommonStats(): CommonStatistics

    .tensorflow.metadata.v0.CommonStatistics common_stats = 1;

    .tensorflow.metadata.v0.CommonStatistics common_stats = 1;

    returns

    The commonStats.

  5. abstract def getCommonStatsOrBuilder(): CommonStatisticsOrBuilder

    .tensorflow.metadata.v0.CommonStatistics common_stats = 1;

  6. abstract def getDefaultInstanceForType(): Message
    Definition Classes
    MessageOrBuilder → MessageLiteOrBuilder
  7. abstract def getDescriptorForType(): Descriptor
    Definition Classes
    MessageOrBuilder
  8. abstract def getField(field: FieldDescriptor): AnyRef
    Definition Classes
    MessageOrBuilder
  9. abstract def getInitializationErrorString(): String
    Definition Classes
    MessageOrBuilder
  10. abstract def getInvalidUtf8Count(): Long

    Counts the number of invalid utf8 strings present in leaf arrays for this
feature. Validation is only performed for byte- or string-like features (
those having type BYTES or STRING).


    Counts the number of invalid utf8 strings present in leaf arrays for this
feature. Validation is only performed for byte- or string-like features (
those having type BYTES or STRING).

    uint64 invalid_utf8_count = 8;

    returns

    The invalidUtf8Count.

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

    The rank histogram for the values of the feature.
The rank is used to measure of how commonly the value is found in the
dataset. The most common value 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 values of the feature.
The rank is used to measure of how commonly the value is found in the
dataset. The most common value 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 = 5;

    returns

    The rankHistogram.

  13. abstract def getRankHistogramOrBuilder(): RankHistogramOrBuilder

    The rank histogram for the values of the feature.
The rank is used to measure of how commonly the value is found in the
dataset. The most common value 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 values of the feature.
The rank is used to measure of how commonly the value is found in the
dataset. The most common value 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 = 5;

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

    A sorted list of the most-frequent values and their frequencies, with
the most-frequent being first.


    A sorted list of the most-frequent values and their frequencies, with
the most-frequent being first.

    repeated .tensorflow.metadata.v0.StringStatistics.FreqAndValue top_values = 3;

  17. abstract def getTopValuesCount(): Int

    A sorted list of the most-frequent values and their frequencies, with
the most-frequent being first.


    A sorted list of the most-frequent values and their frequencies, with
the most-frequent being first.

    repeated .tensorflow.metadata.v0.StringStatistics.FreqAndValue top_values = 3;

  18. abstract def getTopValuesList(): List[FreqAndValue]

    A sorted list of the most-frequent values and their frequencies, with
the most-frequent being first.


    A sorted list of the most-frequent values and their frequencies, with
the most-frequent being first.

    repeated .tensorflow.metadata.v0.StringStatistics.FreqAndValue top_values = 3;

  19. abstract def getTopValuesOrBuilder(index: Int): FreqAndValueOrBuilder

    A sorted list of the most-frequent values and their frequencies, with
the most-frequent being first.


    A sorted list of the most-frequent values and their frequencies, with
the most-frequent being first.

    repeated .tensorflow.metadata.v0.StringStatistics.FreqAndValue top_values = 3;

  20. abstract def getTopValuesOrBuilderList(): List[_ <: FreqAndValueOrBuilder]

    A sorted list of the most-frequent values and their frequencies, with
the most-frequent being first.


    A sorted list of the most-frequent values and their frequencies, with
the most-frequent being first.

    repeated .tensorflow.metadata.v0.StringStatistics.FreqAndValue top_values = 3;

  21. abstract def getUnique(): Long

    The number of unique values


    The number of unique values

    uint64 unique = 2;

    returns

    The unique.

  22. abstract def getUnknownFields(): UnknownFieldSet
    Definition Classes
    MessageOrBuilder
  23. abstract def getVocabularyFile(): String

    A vocabulary file, used for vocabularies too large to store in the proto
itself.  Note that the file may be relative to some context-dependent
directory.  E.g. in TFX the feature statistics will live in a PPP and
vocabulary file names will be relative to this PPP.


    A vocabulary file, used for vocabularies too large to store in the proto
itself.  Note that the file may be relative to some context-dependent
directory.  E.g. in TFX the feature statistics will live in a PPP and
vocabulary file names will be relative to this PPP.

    string vocabulary_file = 7;

    returns

    The vocabularyFile.

  24. abstract def getVocabularyFileBytes(): ByteString

    A vocabulary file, used for vocabularies too large to store in the proto
itself.  Note that the file may be relative to some context-dependent
directory.  E.g. in TFX the feature statistics will live in a PPP and
vocabulary file names will be relative to this PPP.


    A vocabulary file, used for vocabularies too large to store in the proto
itself.  Note that the file may be relative to some context-dependent
directory.  E.g. in TFX the feature statistics will live in a PPP and
vocabulary file names will be relative to this PPP.

    string vocabulary_file = 7;

    returns

    The bytes for vocabularyFile.

  25. abstract def getWeightedStringStats(): WeightedStringStatistics

    Weighted statistics for the feature, if the values have weights.


    Weighted statistics for the feature, if the values have weights.

    .tensorflow.metadata.v0.WeightedStringStatistics weighted_string_stats = 6;

    returns

    The weightedStringStats.

  26. abstract def getWeightedStringStatsOrBuilder(): WeightedStringStatisticsOrBuilder

    Weighted statistics for the feature, if the values have weights.


    Weighted statistics for the feature, if the values have weights.

    .tensorflow.metadata.v0.WeightedStringStatistics weighted_string_stats = 6;

  27. abstract def hasCommonStats(): Boolean

    .tensorflow.metadata.v0.CommonStatistics common_stats = 1;

    .tensorflow.metadata.v0.CommonStatistics common_stats = 1;

    returns

    Whether the commonStats field is set.

  28. abstract def hasField(field: FieldDescriptor): Boolean
    Definition Classes
    MessageOrBuilder
  29. abstract def hasOneof(oneof: OneofDescriptor): Boolean
    Definition Classes
    MessageOrBuilder
  30. abstract def hasRankHistogram(): Boolean

    The rank histogram for the values of the feature.
The rank is used to measure of how commonly the value is found in the
dataset. The most common value 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 values of the feature.
The rank is used to measure of how commonly the value is found in the
dataset. The most common value 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 = 5;

    returns

    Whether the rankHistogram field is set.

  31. abstract def hasWeightedStringStats(): Boolean

    Weighted statistics for the feature, if the values have weights.


    Weighted statistics for the feature, if the values have weights.

    .tensorflow.metadata.v0.WeightedStringStatistics weighted_string_stats = 6;

    returns

    Whether the weightedStringStats field is set.

  32. 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
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  3. final def ==(arg0: Any): Boolean
    Definition Classes
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  4. final def asInstanceOf[T0]: T0
    Definition Classes
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  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
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    Definition Classes
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    @throws(classOf[java.lang.Throwable])
  9. final def getClass(): Class[_ <: AnyRef]
    Definition Classes
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    @native()
  10. def hashCode(): Int
    Definition Classes
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    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
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    @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

Inherited from Any

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