Packages

c

org.tensorflow.metadata.v0

LiftStatistics

final class LiftStatistics extends GeneratedMessageV3 with LiftStatisticsOrBuilder

Protobuf type tensorflow.metadata.v0.LiftStatistics

Source
LiftStatistics.java
Linear Supertypes
LiftStatisticsOrBuilder, GeneratedMessageV3, Serializable, AbstractMessage, Message, MessageOrBuilder, AbstractMessageLite[MessageType, BuilderType], MessageLite, MessageLiteOrBuilder, AnyRef, Any
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Inherited
  1. LiftStatistics
  2. LiftStatisticsOrBuilder
  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
    LiftStatistics → 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 getDefaultInstanceForType(): LiftStatistics
    Definition Classes
    LiftStatistics → MessageOrBuilder → MessageLiteOrBuilder
    Annotations
    @Override()
  5. def getDescriptorForType(): Descriptor
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  6. def getField(field: FieldDescriptor): AnyRef
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  7. def getInitializationErrorString(): String
    Definition Classes
    AbstractMessage → MessageOrBuilder
  8. def getLiftSeries(index: Int): LiftSeries

    Lift information for each value of path_y. Lift is defined for each pair of
values (x,y) as P(path_y=y|path_x=x)/P(path_y=y).


    Lift information for each value of path_y. Lift is defined for each pair of
values (x,y) as P(path_y=y|path_x=x)/P(path_y=y).

    repeated .tensorflow.metadata.v0.LiftSeries lift_series = 1;

    Definition Classes
    LiftStatistics → LiftStatisticsOrBuilder
    Annotations
    @Override()
  9. def getLiftSeriesCount(): Int

    Lift information for each value of path_y. Lift is defined for each pair of
values (x,y) as P(path_y=y|path_x=x)/P(path_y=y).


    Lift information for each value of path_y. Lift is defined for each pair of
values (x,y) as P(path_y=y|path_x=x)/P(path_y=y).

    repeated .tensorflow.metadata.v0.LiftSeries lift_series = 1;

    Definition Classes
    LiftStatistics → LiftStatisticsOrBuilder
    Annotations
    @Override()
  10. def getLiftSeriesList(): List[LiftSeries]

    Lift information for each value of path_y. Lift is defined for each pair of
values (x,y) as P(path_y=y|path_x=x)/P(path_y=y).


    Lift information for each value of path_y. Lift is defined for each pair of
values (x,y) as P(path_y=y|path_x=x)/P(path_y=y).

    repeated .tensorflow.metadata.v0.LiftSeries lift_series = 1;

    Definition Classes
    LiftStatistics → LiftStatisticsOrBuilder
    Annotations
    @Override()
  11. def getLiftSeriesOrBuilder(index: Int): LiftSeriesOrBuilder

    Lift information for each value of path_y. Lift is defined for each pair of
values (x,y) as P(path_y=y|path_x=x)/P(path_y=y).


    Lift information for each value of path_y. Lift is defined for each pair of
values (x,y) as P(path_y=y|path_x=x)/P(path_y=y).

    repeated .tensorflow.metadata.v0.LiftSeries lift_series = 1;

    Definition Classes
    LiftStatistics → LiftStatisticsOrBuilder
    Annotations
    @Override()
  12. def getLiftSeriesOrBuilderList(): List[_ <: LiftSeriesOrBuilder]

    Lift information for each value of path_y. Lift is defined for each pair of
values (x,y) as P(path_y=y|path_x=x)/P(path_y=y).


    Lift information for each value of path_y. Lift is defined for each pair of
values (x,y) as P(path_y=y|path_x=x)/P(path_y=y).

    repeated .tensorflow.metadata.v0.LiftSeries lift_series = 1;

    Definition Classes
    LiftStatistics → LiftStatisticsOrBuilder
    Annotations
    @Override()
  13. def getOneofFieldDescriptor(oneof: OneofDescriptor): FieldDescriptor
    Definition Classes
    GeneratedMessageV3 → AbstractMessage → MessageOrBuilder
  14. def getParserForType(): Parser[LiftStatistics]
    Definition Classes
    LiftStatistics → GeneratedMessageV3 → Message → MessageLite
    Annotations
    @Override()
  15. def getRepeatedField(field: FieldDescriptor, index: Int): AnyRef
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  16. def getRepeatedFieldCount(field: FieldDescriptor): Int
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  17. def getSerializedSize(): Int
    Definition Classes
    LiftStatistics → GeneratedMessageV3 → AbstractMessage → MessageLite
    Annotations
    @Override()
  18. def getUnknownFields(): UnknownFieldSet
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  19. def getWeightedLiftSeries(index: Int): LiftSeries

    Weighted lift information for each value of path_y. Weighted lift is
defined for each pair of values (x,y) as P(path_y=y|path_x=x)/P(path_y=y)
where probabilities are computed over weighted example space.


    Weighted lift information for each value of path_y. Weighted lift is
defined for each pair of values (x,y) as P(path_y=y|path_x=x)/P(path_y=y)
where probabilities are computed over weighted example space.

    repeated .tensorflow.metadata.v0.LiftSeries weighted_lift_series = 2;

    Definition Classes
    LiftStatistics → LiftStatisticsOrBuilder
    Annotations
    @Override()
  20. def getWeightedLiftSeriesCount(): Int

    Weighted lift information for each value of path_y. Weighted lift is
defined for each pair of values (x,y) as P(path_y=y|path_x=x)/P(path_y=y)
where probabilities are computed over weighted example space.


    Weighted lift information for each value of path_y. Weighted lift is
defined for each pair of values (x,y) as P(path_y=y|path_x=x)/P(path_y=y)
where probabilities are computed over weighted example space.

    repeated .tensorflow.metadata.v0.LiftSeries weighted_lift_series = 2;

    Definition Classes
    LiftStatistics → LiftStatisticsOrBuilder
    Annotations
    @Override()
  21. def getWeightedLiftSeriesList(): List[LiftSeries]

    Weighted lift information for each value of path_y. Weighted lift is
defined for each pair of values (x,y) as P(path_y=y|path_x=x)/P(path_y=y)
where probabilities are computed over weighted example space.


    Weighted lift information for each value of path_y. Weighted lift is
defined for each pair of values (x,y) as P(path_y=y|path_x=x)/P(path_y=y)
where probabilities are computed over weighted example space.

    repeated .tensorflow.metadata.v0.LiftSeries weighted_lift_series = 2;

    Definition Classes
    LiftStatistics → LiftStatisticsOrBuilder
    Annotations
    @Override()
  22. def getWeightedLiftSeriesOrBuilder(index: Int): LiftSeriesOrBuilder

    Weighted lift information for each value of path_y. Weighted lift is
defined for each pair of values (x,y) as P(path_y=y|path_x=x)/P(path_y=y)
where probabilities are computed over weighted example space.


    Weighted lift information for each value of path_y. Weighted lift is
defined for each pair of values (x,y) as P(path_y=y|path_x=x)/P(path_y=y)
where probabilities are computed over weighted example space.

    repeated .tensorflow.metadata.v0.LiftSeries weighted_lift_series = 2;

    Definition Classes
    LiftStatistics → LiftStatisticsOrBuilder
    Annotations
    @Override()
  23. def getWeightedLiftSeriesOrBuilderList(): List[_ <: LiftSeriesOrBuilder]

    Weighted lift information for each value of path_y. Weighted lift is
defined for each pair of values (x,y) as P(path_y=y|path_x=x)/P(path_y=y)
where probabilities are computed over weighted example space.


    Weighted lift information for each value of path_y. Weighted lift is
defined for each pair of values (x,y) as P(path_y=y|path_x=x)/P(path_y=y)
where probabilities are computed over weighted example space.

    repeated .tensorflow.metadata.v0.LiftSeries weighted_lift_series = 2;

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