Object

com.twitter.algebird

CorrelationAggregator

Related Doc: package algebird

Permalink

object CorrelationAggregator extends MonoidAggregator[(Double, Double), Correlation, Correlation]

Linear Supertypes
MonoidAggregator[(Double, Double), Correlation, Correlation], Aggregator[(Double, Double), Correlation, Correlation], Serializable, AnyRef, Any
Ordering
  1. Alphabetic
  2. By Inheritance
Inherited
  1. CorrelationAggregator
  2. MonoidAggregator
  3. Aggregator
  4. Serializable
  5. AnyRef
  6. Any
  1. Hide All
  2. Show All
Visibility
  1. Public
  2. All

Value Members

  1. final def !=(arg0: Any): Boolean

    Permalink
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int

    Permalink
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean

    Permalink
    Definition Classes
    AnyRef → Any
  4. def andThenPresent[D](present2: (Correlation) ⇒ D): MonoidAggregator[(Double, Double), Correlation, D]

    Permalink

    Like calling andThen on the present function

    Like calling andThen on the present function

    Definition Classes
    MonoidAggregatorAggregator
  5. def append(l: Correlation, r: (Double, Double)): Correlation

    Permalink
    Definition Classes
    Aggregator
  6. def appendAll(items: TraversableOnce[(Double, Double)]): Correlation

    Permalink
    Definition Classes
    MonoidAggregator
  7. def appendAll(old: Correlation, items: TraversableOnce[(Double, Double)]): Correlation

    Permalink
    Definition Classes
    Aggregator
  8. def apply(inputs: TraversableOnce[(Double, Double)]): Correlation

    Permalink

    This may error if inputs are empty (for Monoid Aggregators it never will, instead you see present(Monoid.zero[B])

    This may error if inputs are empty (for Monoid Aggregators it never will, instead you see present(Monoid.zero[B])

    Definition Classes
    Aggregator
  9. def applyCumulatively[In <: TraversableOnce[(Double, Double)], Out](inputs: In)(implicit bf: CanBuildFrom[In, Correlation, Out]): Out

    Permalink

    This returns the cumulative sum of its inputs, in the same order.

    This returns the cumulative sum of its inputs, in the same order. If the inputs are empty, the result will be empty too.

    Definition Classes
    Aggregator
  10. def applyOption(inputs: TraversableOnce[(Double, Double)]): Option[Correlation]

    Permalink

    This returns None if the inputs are empty

    This returns None if the inputs are empty

    Definition Classes
    Aggregator
  11. final def asInstanceOf[T0]: T0

    Permalink
    Definition Classes
    Any
  12. def clone(): AnyRef

    Permalink
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  13. def collectBefore[A2](fn: PartialFunction[A2, (Double, Double)]): MonoidAggregator[A2, Correlation, Correlation]

    Permalink

    Only transform values where the function is defined, else discard

    Only transform values where the function is defined, else discard

    Definition Classes
    MonoidAggregator
  14. def composePrepare[A2](prepare2: (A2) ⇒ (Double, Double)): MonoidAggregator[A2, Correlation, Correlation]

    Permalink

    Like calling compose on the prepare function

    Like calling compose on the prepare function

    Definition Classes
    MonoidAggregatorAggregator
  15. def correlation: MonoidAggregator[(Double, Double), Correlation, Double]

    Permalink
  16. def covariance: MonoidAggregator[(Double, Double), Correlation, Double]

    Permalink
  17. def cumulativeIterator(inputs: Iterator[(Double, Double)]): Iterator[Correlation]

    Permalink

    This returns the cumulative sum of its inputs, in the same order.

    This returns the cumulative sum of its inputs, in the same order. If the inputs are empty, the result will be empty too.

    Definition Classes
    Aggregator
  18. def either[A2, B2, C2](that: MonoidAggregator[A2, B2, C2]): MonoidAggregator[Either[(Double, Double), A2], (Correlation, B2), (Correlation, C2)]

    Permalink

    Build a MonoidAggregator that either takes left or right input and outputs the pair from both

    Build a MonoidAggregator that either takes left or right input and outputs the pair from both

    Definition Classes
    MonoidAggregator
  19. final def eq(arg0: AnyRef): Boolean

    Permalink
    Definition Classes
    AnyRef
  20. def equals(arg0: Any): Boolean

    Permalink
    Definition Classes
    AnyRef → Any
  21. def filterBefore[A1 <: (Double, Double)](pred: (A1) ⇒ Boolean): MonoidAggregator[A1, Correlation, Correlation]

    Permalink

    Only aggregate items that match a predicate

    Only aggregate items that match a predicate

    Definition Classes
    MonoidAggregator
  22. def finalize(): Unit

    Permalink
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  23. final def getClass(): Class[_]

    Permalink
    Definition Classes
    AnyRef → Any
  24. def hashCode(): Int

    Permalink
    Definition Classes
    AnyRef → Any
  25. final def isInstanceOf[T0]: Boolean

    Permalink
    Definition Classes
    Any
  26. def join[A2 <: (Double, Double), B2, C2](that: Aggregator[A2, B2, C2]): Aggregator[A2, (Correlation, B2), (Correlation, C2)]

    Permalink

    This allows you to run two aggregators on the same data with a single pass

    This allows you to run two aggregators on the same data with a single pass

    Definition Classes
    Aggregator
  27. def lift: MonoidAggregator[(Double, Double), Option[Correlation], Option[Correlation]]

    Permalink
    Definition Classes
    Aggregator
  28. def monoid: Monoid[Correlation]

    Permalink
  29. final def ne(arg0: AnyRef): Boolean

    Permalink
    Definition Classes
    AnyRef
  30. final def notify(): Unit

    Permalink
    Definition Classes
    AnyRef
  31. final def notifyAll(): Unit

    Permalink
    Definition Classes
    AnyRef
  32. def prepare(a: (Double, Double)): Correlation

    Permalink
    Definition Classes
    CorrelationAggregatorAggregator
  33. def present(c: Correlation): Correlation

    Permalink
    Definition Classes
    CorrelationAggregatorAggregator
  34. final def reduce(items: TraversableOnce[Correlation]): Correlation

    Permalink

    This may error if items is empty.

    This may error if items is empty. To be safe you might use reduceOption if you don't know that items is non-empty

    Definition Classes
    MonoidAggregatorAggregator
  35. def reduce(l: Correlation, r: Correlation): Correlation

    Permalink

    combine two inner values

    combine two inner values

    Definition Classes
    Aggregator
  36. def reduceOption(items: TraversableOnce[Correlation]): Option[Correlation]

    Permalink

    This is the safe version of the above.

    This is the safe version of the above. If the input in empty, return None, else reduce the items

    Definition Classes
    Aggregator
  37. def semigroup: Monoid[Correlation]

    Permalink
    Definition Classes
    MonoidAggregatorAggregator
  38. def sumBefore: MonoidAggregator[TraversableOnce[(Double, Double)], Correlation, Correlation]

    Permalink

    This maps the inputs to Bs, then sums them, effectively flattening the inputs to the MonoidAggregator

    This maps the inputs to Bs, then sums them, effectively flattening the inputs to the MonoidAggregator

    Definition Classes
    MonoidAggregator
  39. final def synchronized[T0](arg0: ⇒ T0): T0

    Permalink
    Definition Classes
    AnyRef
  40. def toFold: Fold[(Double, Double), Option[Correlation]]

    Permalink

    An Aggregator can be converted to a Fold, but not vice-versa Note, a Fold is more constrained so only do this if you require joining a Fold with an Aggregator to produce a Fold

    An Aggregator can be converted to a Fold, but not vice-versa Note, a Fold is more constrained so only do this if you require joining a Fold with an Aggregator to produce a Fold

    Definition Classes
    Aggregator
  41. def toString(): String

    Permalink
    Definition Classes
    AnyRef → Any
  42. final def wait(): Unit

    Permalink
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  43. final def wait(arg0: Long, arg1: Int): Unit

    Permalink
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  44. final def wait(arg0: Long): Unit

    Permalink
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  45. def zip[A2, B2, C2](ag2: MonoidAggregator[A2, B2, C2]): MonoidAggregator[((Double, Double), A2), (Correlation, B2), (Correlation, C2)]

    Permalink

    This allows you to join two aggregators into one that takes a tuple input, which in turn allows you to chain .composePrepare onto the result if you have an initial input that has to be prepared differently for each of the joined aggregators.

    This allows you to join two aggregators into one that takes a tuple input, which in turn allows you to chain .composePrepare onto the result if you have an initial input that has to be prepared differently for each of the joined aggregators.

    The law here is: ag1.zip(ag2).apply(as.zip(bs)) == (ag1(as), ag2(bs))

    Definition Classes
    MonoidAggregator
  46. def zip[A2, B2, C2](ag2: Aggregator[A2, B2, C2]): Aggregator[((Double, Double), A2), (Correlation, B2), (Correlation, C2)]

    Permalink

    This allows you to join two aggregators into one that takes a tuple input, which in turn allows you to chain .composePrepare onto the result if you have an initial input that has to be prepared differently for each of the joined aggregators.

    This allows you to join two aggregators into one that takes a tuple input, which in turn allows you to chain .composePrepare onto the result if you have an initial input that has to be prepared differently for each of the joined aggregators.

    The law here is: ag1.zip(ag2).apply(as.zip(bs)) == (ag1(as), ag2(bs))

    Definition Classes
    Aggregator

Inherited from MonoidAggregator[(Double, Double), Correlation, Correlation]

Inherited from Aggregator[(Double, Double), Correlation, Correlation]

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Ungrouped