Packages

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