Packages

c

org.tensorflow.metadata.v0

DatasetFeatureStatistics

final class DatasetFeatureStatistics extends GeneratedMessageV3 with DatasetFeatureStatisticsOrBuilder

The feature statistics for a single dataset.

Protobuf type tensorflow.metadata.v0.DatasetFeatureStatistics

Source
DatasetFeatureStatistics.java
Linear Supertypes
DatasetFeatureStatisticsOrBuilder, GeneratedMessageV3, Serializable, AbstractMessage, Message, MessageOrBuilder, AbstractMessageLite[MessageType, BuilderType], MessageLite, MessageLiteOrBuilder, AnyRef, Any
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Inherited
  1. DatasetFeatureStatistics
  2. DatasetFeatureStatisticsOrBuilder
  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
    DatasetFeatureStatistics → 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 getCrossFeatures(index: Int): CrossFeatureStatistics

    Cross feature statistics for the dataset.


    Cross feature statistics for the dataset.

    repeated .tensorflow.metadata.v0.CrossFeatureStatistics cross_features = 5;

    Definition Classes
    DatasetFeatureStatistics → DatasetFeatureStatisticsOrBuilder
    Annotations
    @Override()
  5. def getCrossFeaturesCount(): Int

    Cross feature statistics for the dataset.


    Cross feature statistics for the dataset.

    repeated .tensorflow.metadata.v0.CrossFeatureStatistics cross_features = 5;

    Definition Classes
    DatasetFeatureStatistics → DatasetFeatureStatisticsOrBuilder
    Annotations
    @Override()
  6. def getCrossFeaturesList(): List[CrossFeatureStatistics]

    Cross feature statistics for the dataset.


    Cross feature statistics for the dataset.

    repeated .tensorflow.metadata.v0.CrossFeatureStatistics cross_features = 5;

    Definition Classes
    DatasetFeatureStatistics → DatasetFeatureStatisticsOrBuilder
    Annotations
    @Override()
  7. def getCrossFeaturesOrBuilder(index: Int): CrossFeatureStatisticsOrBuilder

    Cross feature statistics for the dataset.


    Cross feature statistics for the dataset.

    repeated .tensorflow.metadata.v0.CrossFeatureStatistics cross_features = 5;

    Definition Classes
    DatasetFeatureStatistics → DatasetFeatureStatisticsOrBuilder
    Annotations
    @Override()
  8. def getCrossFeaturesOrBuilderList(): List[_ <: CrossFeatureStatisticsOrBuilder]

    Cross feature statistics for the dataset.


    Cross feature statistics for the dataset.

    repeated .tensorflow.metadata.v0.CrossFeatureStatistics cross_features = 5;

    Definition Classes
    DatasetFeatureStatistics → DatasetFeatureStatisticsOrBuilder
    Annotations
    @Override()
  9. def getDefaultInstanceForType(): DatasetFeatureStatistics
    Definition Classes
    DatasetFeatureStatistics → MessageOrBuilder → MessageLiteOrBuilder
    Annotations
    @Override()
  10. def getDescriptorForType(): Descriptor
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  11. def getFeatures(index: Int): FeatureNameStatistics

    The feature statistics for the dataset.


    The feature statistics for the dataset.

    repeated .tensorflow.metadata.v0.FeatureNameStatistics features = 3;

    Definition Classes
    DatasetFeatureStatistics → DatasetFeatureStatisticsOrBuilder
    Annotations
    @Override()
  12. def getFeaturesCount(): Int

    The feature statistics for the dataset.


    The feature statistics for the dataset.

    repeated .tensorflow.metadata.v0.FeatureNameStatistics features = 3;

    Definition Classes
    DatasetFeatureStatistics → DatasetFeatureStatisticsOrBuilder
    Annotations
    @Override()
  13. def getFeaturesList(): List[FeatureNameStatistics]

    The feature statistics for the dataset.


    The feature statistics for the dataset.

    repeated .tensorflow.metadata.v0.FeatureNameStatistics features = 3;

    Definition Classes
    DatasetFeatureStatistics → DatasetFeatureStatisticsOrBuilder
    Annotations
    @Override()
  14. def getFeaturesOrBuilder(index: Int): FeatureNameStatisticsOrBuilder

    The feature statistics for the dataset.


    The feature statistics for the dataset.

    repeated .tensorflow.metadata.v0.FeatureNameStatistics features = 3;

    Definition Classes
    DatasetFeatureStatistics → DatasetFeatureStatisticsOrBuilder
    Annotations
    @Override()
  15. def getFeaturesOrBuilderList(): List[_ <: FeatureNameStatisticsOrBuilder]

    The feature statistics for the dataset.


    The feature statistics for the dataset.

    repeated .tensorflow.metadata.v0.FeatureNameStatistics features = 3;

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

    The name of the dataset.


    The name of the dataset.

    string name = 1;

    returns

    The name.

    Definition Classes
    DatasetFeatureStatistics → DatasetFeatureStatisticsOrBuilder
    Annotations
    @Override()
  19. def getNameBytes(): ByteString

    The name of the dataset.


    The name of the dataset.

    string name = 1;

    returns

    The bytes for name.

    Definition Classes
    DatasetFeatureStatistics → DatasetFeatureStatisticsOrBuilder
    Annotations
    @Override()
  20. def getNumExamples(): Long

    The number of examples in the dataset.


    The number of examples in the dataset.

    uint64 num_examples = 2;

    returns

    The numExamples.

    Definition Classes
    DatasetFeatureStatistics → DatasetFeatureStatisticsOrBuilder
    Annotations
    @Override()
  21. def getOneofFieldDescriptor(oneof: OneofDescriptor): FieldDescriptor
    Definition Classes
    GeneratedMessageV3 → AbstractMessage → MessageOrBuilder
  22. def getParserForType(): Parser[DatasetFeatureStatistics]
    Definition Classes
    DatasetFeatureStatistics → GeneratedMessageV3 → Message → MessageLite
    Annotations
    @Override()
  23. def getRepeatedField(field: FieldDescriptor, index: Int): AnyRef
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  24. def getRepeatedFieldCount(field: FieldDescriptor): Int
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  25. def getSerializedSize(): Int
    Definition Classes
    DatasetFeatureStatistics → GeneratedMessageV3 → AbstractMessage → MessageLite
    Annotations
    @Override()
  26. def getUnknownFields(): UnknownFieldSet
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  27. def getWeightedNumExamples(): Double

    Only valid if the weight feature was specified.
Treats a missing weighted feature as zero.


    Only valid if the weight feature was specified.
Treats a missing weighted feature as zero.

    double weighted_num_examples = 4;

    returns

    The weightedNumExamples.

    Definition Classes
    DatasetFeatureStatistics → DatasetFeatureStatisticsOrBuilder
    Annotations
    @Override()
  28. def hasField(field: FieldDescriptor): Boolean
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  29. def hasOneof(oneof: OneofDescriptor): Boolean
    Definition Classes
    GeneratedMessageV3 → AbstractMessage → MessageOrBuilder
  30. def hashCode(): Int
    Definition Classes
    DatasetFeatureStatistics → AbstractMessage → Message → AnyRef → Any
    Annotations
    @Override()
  31. final def isInitialized(): Boolean
    Definition Classes
    DatasetFeatureStatistics → GeneratedMessageV3 → AbstractMessage → MessageLiteOrBuilder
    Annotations
    @Override()
  32. def newBuilderForType(): Builder
    Definition Classes
    DatasetFeatureStatistics → Message → MessageLite
    Annotations
    @Override()
  33. def toBuilder(): Builder
    Definition Classes
    DatasetFeatureStatistics → Message → MessageLite
    Annotations
    @Override()
  34. def toByteArray(): Array[Byte]
    Definition Classes
    AbstractMessageLite → MessageLite
  35. def toByteString(): ByteString
    Definition Classes
    AbstractMessageLite → MessageLite
  36. final def toString(): String
    Definition Classes
    AbstractMessage → Message → AnyRef → Any
  37. def writeDelimitedTo(output: OutputStream): Unit
    Definition Classes
    AbstractMessageLite → MessageLite
    Annotations
    @throws(classOf[java.io.IOException])
  38. def writeTo(output: CodedOutputStream): Unit
    Definition Classes
    DatasetFeatureStatistics → GeneratedMessageV3 → AbstractMessage → MessageLite
    Annotations
    @Override()
  39. def writeTo(output: OutputStream): Unit
    Definition Classes
    AbstractMessageLite → MessageLite
    Annotations
    @throws(classOf[java.io.IOException])