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org.tensorflow.metadata.v0

CommonStatistics

final class CommonStatistics extends GeneratedMessageV3 with CommonStatisticsOrBuilder

Common statistics for all feature types. Statistics counting number of values
(i.e., min_num_values, max_num_values, avg_num_values, and tot_num_values)
include NaNs.

Protobuf type tensorflow.metadata.v0.CommonStatistics

Source
CommonStatistics.java
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  1. CommonStatistics
  2. CommonStatisticsOrBuilder
  3. GeneratedMessageV3
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  5. AbstractMessage
  6. Message
  7. MessageOrBuilder
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  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
    CommonStatistics → 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 getAvgNumValues(): Float

    The average number of values in a single example for this feature.
    

    The average number of values in a single example for this feature.
    

    float avg_num_values = 5;

    returns

    The avgNumValues.

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

    The histogram for the number of features in the feature list (only set if
    this feature is a non-context feature from a tf.SequenceExample).
    This is different from num_values_histogram, as num_values_histogram tracks
    the count of all values for a feature in an example, whereas this tracks
    the length of the feature list for this feature in an example (where each
    feature list can contain multiple values).
    

    The histogram for the number of features in the feature list (only set if
    this feature is a non-context feature from a tf.SequenceExample).
    This is different from num_values_histogram, as num_values_histogram tracks
    the count of all values for a feature in an example, whereas this tracks
    the length of the feature list for this feature in an example (where each
    feature list can contain multiple values).
    

    .tensorflow.metadata.v0.Histogram feature_list_length_histogram = 9;

    returns

    The featureListLengthHistogram.

    Definition Classes
    CommonStatisticsCommonStatisticsOrBuilder
    Annotations
    @Override()
  16. def getFeatureListLengthHistogramOrBuilder(): HistogramOrBuilder

    The histogram for the number of features in the feature list (only set if
    this feature is a non-context feature from a tf.SequenceExample).
    This is different from num_values_histogram, as num_values_histogram tracks
    the count of all values for a feature in an example, whereas this tracks
    the length of the feature list for this feature in an example (where each
    feature list can contain multiple values).
    

    The histogram for the number of features in the feature list (only set if
    this feature is a non-context feature from a tf.SequenceExample).
    This is different from num_values_histogram, as num_values_histogram tracks
    the count of all values for a feature in an example, whereas this tracks
    the length of the feature list for this feature in an example (where each
    feature list can contain multiple values).
    

    .tensorflow.metadata.v0.Histogram feature_list_length_histogram = 9;

    Definition Classes
    CommonStatisticsCommonStatisticsOrBuilder
    Annotations
    @Override()
  17. def getField(field: FieldDescriptor): AnyRef
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  18. def getInitializationErrorString(): String
    Definition Classes
    AbstractMessage → MessageOrBuilder
  19. def getMaxNumValues(): Long

    The maximum number of values in a single example for this feature.
    

    The maximum number of values in a single example for this feature.
    

    uint64 max_num_values = 4;

    returns

    The maxNumValues.

    Definition Classes
    CommonStatisticsCommonStatisticsOrBuilder
    Annotations
    @Override()
  20. def getMinNumValues(): Long

    The minimum number of values in a single example for this feature.
    

    The minimum number of values in a single example for this feature.
    

    uint64 min_num_values = 3;

    returns

    The minNumValues.

    Definition Classes
    CommonStatisticsCommonStatisticsOrBuilder
    Annotations
    @Override()
  21. def getNumMissing(): Long

    The number of examples missing this feature.
    

    The number of examples missing this feature.
    

    uint64 num_missing = 2;

    returns

    The numMissing.

    Definition Classes
    CommonStatisticsCommonStatisticsOrBuilder
    Annotations
    @Override()
  22. def getNumNonMissing(): Long

    The number of examples that include this feature. Note that this includes
    examples that contain this feature with an explicitly empty list of values,
    which may be permitted for variable length features.
    

    The number of examples that include this feature. Note that this includes
    examples that contain this feature with an explicitly empty list of values,
    which may be permitted for variable length features.
    

    uint64 num_non_missing = 1;

    returns

    The numNonMissing.

    Definition Classes
    CommonStatisticsCommonStatisticsOrBuilder
    Annotations
    @Override()
  23. def getNumValuesHistogram(): Histogram

    The quantiles histogram for the number of values in this feature.
    

    The quantiles histogram for the number of values in this feature.
    

    .tensorflow.metadata.v0.Histogram num_values_histogram = 6;

    returns

    The numValuesHistogram.

    Definition Classes
    CommonStatisticsCommonStatisticsOrBuilder
    Annotations
    @Override()
  24. def getNumValuesHistogramOrBuilder(): HistogramOrBuilder

    The quantiles histogram for the number of values in this feature.
    

    The quantiles histogram for the number of values in this feature.
    

    .tensorflow.metadata.v0.Histogram num_values_histogram = 6;

    Definition Classes
    CommonStatisticsCommonStatisticsOrBuilder
    Annotations
    @Override()
  25. def getOneofFieldDescriptor(oneof: OneofDescriptor): FieldDescriptor
    Definition Classes
    GeneratedMessageV3 → AbstractMessage → MessageOrBuilder
  26. def getParserForType(): Parser[CommonStatistics]
    Definition Classes
    CommonStatistics → GeneratedMessageV3 → Message → MessageLite
    Annotations
    @Override()
  27. def getPresenceAndValencyStats(index: Int): PresenceAndValencyStatistics

    Contains presence and valency stats for each nest level of the feature.
    The first item corresponds to the outermost level, and by definition,
    the stats it contains equals to the corresponding stats defined above.
    May not be populated if the feature is of nest level 1.
    

    Contains presence and valency stats for each nest level of the feature.
    The first item corresponds to the outermost level, and by definition,
    the stats it contains equals to the corresponding stats defined above.
    May not be populated if the feature is of nest level 1.
    

    repeated .tensorflow.metadata.v0.PresenceAndValencyStatistics presence_and_valency_stats = 10;

    Definition Classes
    CommonStatisticsCommonStatisticsOrBuilder
    Annotations
    @Override()
  28. def getPresenceAndValencyStatsCount(): Int

    Contains presence and valency stats for each nest level of the feature.
    The first item corresponds to the outermost level, and by definition,
    the stats it contains equals to the corresponding stats defined above.
    May not be populated if the feature is of nest level 1.
    

    Contains presence and valency stats for each nest level of the feature.
    The first item corresponds to the outermost level, and by definition,
    the stats it contains equals to the corresponding stats defined above.
    May not be populated if the feature is of nest level 1.
    

    repeated .tensorflow.metadata.v0.PresenceAndValencyStatistics presence_and_valency_stats = 10;

    Definition Classes
    CommonStatisticsCommonStatisticsOrBuilder
    Annotations
    @Override()
  29. def getPresenceAndValencyStatsList(): List[PresenceAndValencyStatistics]

    Contains presence and valency stats for each nest level of the feature.
    The first item corresponds to the outermost level, and by definition,
    the stats it contains equals to the corresponding stats defined above.
    May not be populated if the feature is of nest level 1.
    

    Contains presence and valency stats for each nest level of the feature.
    The first item corresponds to the outermost level, and by definition,
    the stats it contains equals to the corresponding stats defined above.
    May not be populated if the feature is of nest level 1.
    

    repeated .tensorflow.metadata.v0.PresenceAndValencyStatistics presence_and_valency_stats = 10;

    Definition Classes
    CommonStatisticsCommonStatisticsOrBuilder
    Annotations
    @Override()
  30. def getPresenceAndValencyStatsOrBuilder(index: Int): PresenceAndValencyStatisticsOrBuilder

    Contains presence and valency stats for each nest level of the feature.
    The first item corresponds to the outermost level, and by definition,
    the stats it contains equals to the corresponding stats defined above.
    May not be populated if the feature is of nest level 1.
    

    Contains presence and valency stats for each nest level of the feature.
    The first item corresponds to the outermost level, and by definition,
    the stats it contains equals to the corresponding stats defined above.
    May not be populated if the feature is of nest level 1.
    

    repeated .tensorflow.metadata.v0.PresenceAndValencyStatistics presence_and_valency_stats = 10;

    Definition Classes
    CommonStatisticsCommonStatisticsOrBuilder
    Annotations
    @Override()
  31. def getPresenceAndValencyStatsOrBuilderList(): List[_ <: PresenceAndValencyStatisticsOrBuilder]

    Contains presence and valency stats for each nest level of the feature.
    The first item corresponds to the outermost level, and by definition,
    the stats it contains equals to the corresponding stats defined above.
    May not be populated if the feature is of nest level 1.
    

    Contains presence and valency stats for each nest level of the feature.
    The first item corresponds to the outermost level, and by definition,
    the stats it contains equals to the corresponding stats defined above.
    May not be populated if the feature is of nest level 1.
    

    repeated .tensorflow.metadata.v0.PresenceAndValencyStatistics presence_and_valency_stats = 10;

    Definition Classes
    CommonStatisticsCommonStatisticsOrBuilder
    Annotations
    @Override()
  32. def getRepeatedField(field: FieldDescriptor, index: Int): AnyRef
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  33. def getRepeatedFieldCount(field: FieldDescriptor): Int
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  34. def getSerializedSize(): Int
    Definition Classes
    CommonStatistics → GeneratedMessageV3 → AbstractMessage → MessageLite
    Annotations
    @Override()
  35. def getTotNumValues(): Long

    tot_num_values = avg_num_values * num_non_missing.
    This is calculated directly, so should have less numerical error.
    

    tot_num_values = avg_num_values * num_non_missing.
    This is calculated directly, so should have less numerical error.
    

    uint64 tot_num_values = 8;

    returns

    The totNumValues.

    Definition Classes
    CommonStatisticsCommonStatisticsOrBuilder
    Annotations
    @Override()
  36. def getUnknownFields(): UnknownFieldSet
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  37. def getWeightedCommonStats(): WeightedCommonStatistics

    .tensorflow.metadata.v0.WeightedCommonStatistics weighted_common_stats = 7;

    .tensorflow.metadata.v0.WeightedCommonStatistics weighted_common_stats = 7;

    returns

    The weightedCommonStats.

    Definition Classes
    CommonStatisticsCommonStatisticsOrBuilder
    Annotations
    @Override()
  38. def getWeightedCommonStatsOrBuilder(): WeightedCommonStatisticsOrBuilder

    .tensorflow.metadata.v0.WeightedCommonStatistics weighted_common_stats = 7;

    .tensorflow.metadata.v0.WeightedCommonStatistics weighted_common_stats = 7;

    Definition Classes
    CommonStatisticsCommonStatisticsOrBuilder
    Annotations
    @Override()
  39. def getWeightedPresenceAndValencyStats(index: Int): WeightedCommonStatistics

    If not empty, it's parallel to presence_and_valency_stats.
    

    If not empty, it's parallel to presence_and_valency_stats.
    

    repeated .tensorflow.metadata.v0.WeightedCommonStatistics weighted_presence_and_valency_stats = 11;

    Definition Classes
    CommonStatisticsCommonStatisticsOrBuilder
    Annotations
    @Override()
  40. def getWeightedPresenceAndValencyStatsCount(): Int

    If not empty, it's parallel to presence_and_valency_stats.
    

    If not empty, it's parallel to presence_and_valency_stats.
    

    repeated .tensorflow.metadata.v0.WeightedCommonStatistics weighted_presence_and_valency_stats = 11;

    Definition Classes
    CommonStatisticsCommonStatisticsOrBuilder
    Annotations
    @Override()
  41. def getWeightedPresenceAndValencyStatsList(): List[WeightedCommonStatistics]

    If not empty, it's parallel to presence_and_valency_stats.
    

    If not empty, it's parallel to presence_and_valency_stats.
    

    repeated .tensorflow.metadata.v0.WeightedCommonStatistics weighted_presence_and_valency_stats = 11;

    Definition Classes
    CommonStatisticsCommonStatisticsOrBuilder
    Annotations
    @Override()
  42. def getWeightedPresenceAndValencyStatsOrBuilder(index: Int): WeightedCommonStatisticsOrBuilder

    If not empty, it's parallel to presence_and_valency_stats.
    

    If not empty, it's parallel to presence_and_valency_stats.
    

    repeated .tensorflow.metadata.v0.WeightedCommonStatistics weighted_presence_and_valency_stats = 11;

    Definition Classes
    CommonStatisticsCommonStatisticsOrBuilder
    Annotations
    @Override()
  43. def getWeightedPresenceAndValencyStatsOrBuilderList(): List[_ <: WeightedCommonStatisticsOrBuilder]

    If not empty, it's parallel to presence_and_valency_stats.
    

    If not empty, it's parallel to presence_and_valency_stats.
    

    repeated .tensorflow.metadata.v0.WeightedCommonStatistics weighted_presence_and_valency_stats = 11;

    Definition Classes
    CommonStatisticsCommonStatisticsOrBuilder
    Annotations
    @Override()
  44. def hasFeatureListLengthHistogram(): Boolean

    The histogram for the number of features in the feature list (only set if
    this feature is a non-context feature from a tf.SequenceExample).
    This is different from num_values_histogram, as num_values_histogram tracks
    the count of all values for a feature in an example, whereas this tracks
    the length of the feature list for this feature in an example (where each
    feature list can contain multiple values).
    

    The histogram for the number of features in the feature list (only set if
    this feature is a non-context feature from a tf.SequenceExample).
    This is different from num_values_histogram, as num_values_histogram tracks
    the count of all values for a feature in an example, whereas this tracks
    the length of the feature list for this feature in an example (where each
    feature list can contain multiple values).
    

    .tensorflow.metadata.v0.Histogram feature_list_length_histogram = 9;

    returns

    Whether the featureListLengthHistogram field is set.

    Definition Classes
    CommonStatisticsCommonStatisticsOrBuilder
    Annotations
    @Override()
  45. def hasField(field: FieldDescriptor): Boolean
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  46. def hasNumValuesHistogram(): Boolean

    The quantiles histogram for the number of values in this feature.
    

    The quantiles histogram for the number of values in this feature.
    

    .tensorflow.metadata.v0.Histogram num_values_histogram = 6;

    returns

    Whether the numValuesHistogram field is set.

    Definition Classes
    CommonStatisticsCommonStatisticsOrBuilder
    Annotations
    @Override()
  47. def hasOneof(oneof: OneofDescriptor): Boolean
    Definition Classes
    GeneratedMessageV3 → AbstractMessage → MessageOrBuilder
  48. def hasWeightedCommonStats(): Boolean

    .tensorflow.metadata.v0.WeightedCommonStatistics weighted_common_stats = 7;

    .tensorflow.metadata.v0.WeightedCommonStatistics weighted_common_stats = 7;

    returns

    Whether the weightedCommonStats field is set.

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

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  1. def internalGetMapField(fieldNumber: Int): MapField[_ <: AnyRef, _ <: AnyRef]
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