trait Encoder[T] extends AnyRef

For encoding counters as vectors and decoding vectors back to counters

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Abstract Value Members

  1. abstract val index: Index[T]

Concrete Value Members

  1. final def !=(arg0: Any): Boolean
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  2. final def ##(): Int
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  3. final def ==(arg0: Any): Boolean
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  4. final def asInstanceOf[T0]: T0
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  5. def clone(): AnyRef
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  6. def decode[V](array: SparseArray[V]): Map[T, V]
  7. def decode[V](array: Array[V]): Map[T, V]

    Converts an array into a Map from T's to whatever was in the array.

  8. def decode(v: Vector[Double], keepZeros: Boolean = false): Counter[T, Double]

    Decodes a vector back to a Counter[T,Double]

  9. def encode(c: Tensor[(T, T), Double]): DenseMatrix[Double]

    Encodes a Tensor[(T,T),Double] as a DenseMatrix[Double].

    Encodes a Tensor[(T,T),Double] as a DenseMatrix[Double]. All elements in the counter must be in the index unless ignoreOutOfIndex is true

  10. def encode(c: Tensor[T, Double], ignoreOutOfIndex: Boolean = false): Vector[Double]

    Encodes a DoubleCounter as a Vector[Double].

    Encodes a DoubleCounter as a Vector[Double]. All elements in the counter must be in the index unless ignoreOutOfIndex is true

  11. def encodeDense(c: Tensor[T, Double], ignoreOutOfIndex: Boolean = false): DenseVector[Double]

    Encodes a DoubleCounter as a Vector[Double].

    Encodes a DoubleCounter as a Vector[Double]. All elements in the counter must be in the index unless ignoreOutOfIndex is true

  12. def encodeSparse(c: Tensor[T, Double], ignoreOutOfIndex: Boolean = false): SparseVector[Double]

    Encodes a DoubleCounter as a SparseVector[Double].

    Encodes a DoubleCounter as a SparseVector[Double]. All elements in the counter must be in the index unless ignoreOutOfIndex is true

  13. final def eq(arg0: AnyRef): Boolean
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  14. def equals(arg0: Any): Boolean
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  15. def fillArray[V](default: ⇒ V)(implicit arg0: ClassTag[V]): Array[V]

    Fills an array of arbitrary type with the value provided and with the index's size.

  16. final def getClass(): Class[_]
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  17. def hashCode(): Int
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  18. final def isInstanceOf[T0]: Boolean
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  19. def mkArray[V](implicit arg0: ClassTag[V]): Array[V]

    Creates an array of arbitrary type with the index's size.

  20. final def mkDenseVector(default: Double = 0.0): DenseVector[Double]

    Creates a DenseVector[Double] with the index's size

  21. final def mkMatrix(): DenseMatrix[Double]

    makes a matrix of some sort with the index's size as rows and cols

  22. def mkSparseArray[V](implicit arg0: ClassTag[V], arg1: Zero[V]): SparseArray[V]
  23. def mkSparseVector(): SparseVector[Double]

    Creates a SparseVector[Double] with the index's size

  24. final def mkVector(): Vector[Double]

    Creates a Vector[Double] of some sort with the index's size.

  25. final def ne(arg0: AnyRef): Boolean
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  26. final def notify(): Unit
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  27. final def notifyAll(): Unit
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  28. final def synchronized[T0](arg0: ⇒ T0): T0
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  29. def tabulateArray[V](f: (T) ⇒ V)(implicit arg0: ClassTag[V]): Array[V]

    Fills an array of arbitrary type by tabulating the function

  30. def tabulateDenseVector(f: (T) ⇒ Double): DenseVector[Double]

    Fills a DenseVector[Double] with each index given by the result of the function.

  31. def toString(): String
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  32. final def wait(arg0: Long, arg1: Int): Unit
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  33. final def wait(arg0: Long): Unit
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  34. final def wait(): Unit
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Deprecated Value Members

  1. def finalize(): Unit
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    Deprecated

    (Since version ) see corresponding Javadoc for more information.

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