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t

org.tensorflow.metadata.v0

LiftStatisticsOrBuilder

trait LiftStatisticsOrBuilder extends MessageOrBuilder

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  1. LiftStatisticsOrBuilder
  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 getDefaultInstanceForType(): Message
    Definition Classes
    MessageOrBuilder → MessageLiteOrBuilder
  4. abstract def getDescriptorForType(): Descriptor
    Definition Classes
    MessageOrBuilder
  5. abstract def getField(field: FieldDescriptor): AnyRef
    Definition Classes
    MessageOrBuilder
  6. abstract def getInitializationErrorString(): String
    Definition Classes
    MessageOrBuilder
  7. abstract 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;

  8. abstract 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;

  9. abstract 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;

  10. abstract 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;

  11. abstract 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;

  12. abstract def getOneofFieldDescriptor(oneof: OneofDescriptor): FieldDescriptor
    Definition Classes
    MessageOrBuilder
  13. abstract def getRepeatedField(field: FieldDescriptor, index: Int): AnyRef
    Definition Classes
    MessageOrBuilder
  14. abstract def getRepeatedFieldCount(field: FieldDescriptor): Int
    Definition Classes
    MessageOrBuilder
  15. abstract def getUnknownFields(): UnknownFieldSet
    Definition Classes
    MessageOrBuilder
  16. abstract 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;

  17. abstract 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;

  18. abstract 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;

  19. abstract 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;

  20. abstract 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;

  21. abstract def hasField(field: FieldDescriptor): Boolean
    Definition Classes
    MessageOrBuilder
  22. abstract def hasOneof(oneof: OneofDescriptor): Boolean
    Definition Classes
    MessageOrBuilder
  23. 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
    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(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef → Any
  8. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.Throwable])
  9. final def getClass(): Class[_ <: AnyRef]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  10. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    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
    Annotations
    @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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