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. 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
    LiftStatistics → 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. final def getClass(): Class[_ <: AnyRef]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  12. def getDefaultInstanceForType(): LiftStatistics
    Definition Classes
    LiftStatistics → MessageOrBuilder → MessageLiteOrBuilder
    Annotations
    @Override()
  13. def getDescriptorForType(): Descriptor
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  14. def getField(field: FieldDescriptor): AnyRef
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  15. def getInitializationErrorString(): String
    Definition Classes
    AbstractMessage → MessageOrBuilder
  16. 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()
  17. 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()
  18. 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()
  19. 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()
  20. 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()
  21. def getOneofFieldDescriptor(oneof: OneofDescriptor): FieldDescriptor
    Definition Classes
    GeneratedMessageV3 → AbstractMessage → MessageOrBuilder
  22. def getParserForType(): Parser[LiftStatistics]
    Definition Classes
    LiftStatistics → 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
    LiftStatistics → GeneratedMessageV3 → AbstractMessage → MessageLite
    Annotations
    @Override()
  26. def getUnknownFields(): UnknownFieldSet
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  27. 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()
  28. 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()
  29. 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()
  30. 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()
  31. 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()
  32. def hasField(field: FieldDescriptor): Boolean
    Definition Classes
    GeneratedMessageV3 → MessageOrBuilder
  33. def hasOneof(oneof: OneofDescriptor): Boolean
    Definition Classes
    GeneratedMessageV3 → AbstractMessage → MessageOrBuilder
  34. def hashCode(): Int
    Definition Classes
    LiftStatistics → AbstractMessage → Message → AnyRef → Any
    Annotations
    @Override()
  35. def internalGetFieldAccessorTable(): FieldAccessorTable
    Attributes
    protected[v0]
    Definition Classes
    LiftStatistics → GeneratedMessageV3
    Annotations
    @Override()
  36. def internalGetMapFieldReflection(fieldNumber: Int): MapFieldReflectionAccessor
    Attributes
    protected[protobuf]
    Definition Classes
    GeneratedMessageV3
  37. final def isInitialized(): Boolean
    Definition Classes
    LiftStatistics → GeneratedMessageV3 → AbstractMessage → MessageLiteOrBuilder
    Annotations
    @Override()
  38. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  39. def makeExtensionsImmutable(): Unit
    Attributes
    protected[protobuf]
    Definition Classes
    GeneratedMessageV3
  40. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  41. def newBuilderForType(parent: BuilderParent): Builder
    Attributes
    protected[v0]
    Definition Classes
    LiftStatistics → GeneratedMessageV3
    Annotations
    @Override()
  42. def newBuilderForType(): Builder
    Definition Classes
    LiftStatistics → Message → MessageLite
    Annotations
    @Override()
  43. def newBuilderForType(parent: BuilderParent): Builder
    Attributes
    protected[protobuf]
    Definition Classes
    GeneratedMessageV3 → AbstractMessage
  44. def newInstance(unused: UnusedPrivateParameter): AnyRef
    Attributes
    protected[v0]
    Definition Classes
    LiftStatistics → GeneratedMessageV3
    Annotations
    @Override() @SuppressWarnings()
  45. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  46. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  47. def parseUnknownField(input: CodedInputStream, unknownFields: Builder, extensionRegistry: ExtensionRegistryLite, tag: Int): Boolean
    Attributes
    protected[protobuf]
    Definition Classes
    GeneratedMessageV3
    Annotations
    @throws(classOf[java.io.IOException])
  48. def parseUnknownFieldProto3(input: CodedInputStream, unknownFields: Builder, extensionRegistry: ExtensionRegistryLite, tag: Int): Boolean
    Attributes
    protected[protobuf]
    Definition Classes
    GeneratedMessageV3
    Annotations
    @throws(classOf[java.io.IOException])
  49. final def synchronized[T0](arg0: => T0): T0
    Definition Classes
    AnyRef
  50. def toBuilder(): Builder
    Definition Classes
    LiftStatistics → Message → MessageLite
    Annotations
    @Override()
  51. def toByteArray(): Array[Byte]
    Definition Classes
    AbstractMessageLite → MessageLite
  52. def toByteString(): ByteString
    Definition Classes
    AbstractMessageLite → MessageLite
  53. final def toString(): String
    Definition Classes
    AbstractMessage → Message → AnyRef → Any
  54. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])
  55. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])
  56. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException]) @native()
  57. def writeDelimitedTo(output: OutputStream): Unit
    Definition Classes
    AbstractMessageLite → MessageLite
    Annotations
    @throws(classOf[java.io.IOException])
  58. def writeReplace(): AnyRef
    Attributes
    protected[protobuf]
    Definition Classes
    GeneratedMessageV3
    Annotations
    @throws(classOf[java.io.ObjectStreamException])
  59. def writeTo(output: CodedOutputStream): Unit
    Definition Classes
    LiftStatistics → GeneratedMessageV3 → AbstractMessage → MessageLite
    Annotations
    @Override()
  60. def writeTo(output: OutputStream): Unit
    Definition Classes
    AbstractMessageLite → MessageLite
    Annotations
    @throws(classOf[java.io.IOException])

Deprecated Value Members

  1. def internalGetMapField(fieldNumber: Int): MapField[_ <: AnyRef, _ <: AnyRef]
    Attributes
    protected[protobuf]
    Definition Classes
    GeneratedMessageV3
    Annotations
    @Deprecated
    Deprecated
  2. def mergeFromAndMakeImmutableInternal(input: CodedInputStream, extensionRegistry: ExtensionRegistryLite): Unit
    Attributes
    protected[protobuf]
    Definition Classes
    GeneratedMessageV3
    Annotations
    @throws(classOf[com.google.protobuf.InvalidProtocolBufferException]) @Deprecated
    Deprecated

Inherited from LiftStatisticsOrBuilder

Inherited from GeneratedMessageV3

Inherited from Serializable

Inherited from AbstractMessage

Inherited from Message

Inherited from MessageOrBuilder

Inherited from AbstractMessageLite[MessageType, BuilderType]

Inherited from MessageLite

Inherited from MessageLiteOrBuilder

Inherited from AnyRef

Inherited from Any

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