Type Members
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case class
BayesianNetwork[T, N](name: String, graph: DirectedGraph[BayesianNetworkNode[T, N], String])(implicit evidence$5: Manifest[T], evidence$6: Eq[T], evidence$7: Field[N], evidence$8: ConvertableFrom[N], evidence$9: Order[N], evidence$10: Manifest[N]) extends Product with Serializable
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abstract
type
C[T]
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class
Factor[T, N] extends AnyRef
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abstract
type
Matrix[T] <: MatrixLike[T]
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trait
MatrixLike[T] extends AnyRef
Abstract Value Members
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abstract
def
centerColumns(m: Matrix[Double]): Matrix[Double]
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abstract
def
centerRows(m: Matrix[Double]): Matrix[Double]
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abstract
def
columnRange(m: Matrix[Double]): Matrix[Double]
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implicit abstract
val
convertBoolean: C[Boolean]
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implicit abstract
val
convertDouble: C[Double]
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implicit abstract
val
convertInt: C[Int]
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abstract
def
cov(m: Matrix[Double]): Matrix[Double]
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abstract
def
eye[T](n: Int)(implicit arg0: C[T]): Matrix[T]
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abstract
def
matrix[T](m: Int, n: Int, f: (Int, Int) ⇒ T)(implicit arg0: C[T]): Matrix[T]
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abstract
def
matrix[T](m: Int, n: Int, topleft: ⇒ T, left: (Int) ⇒ T, top: (Int) ⇒ T, fill: (Int, Int, T, T, T) ⇒ T)(implicit arg0: C[T]): Matrix[T]
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abstract
def
matrix[T](m: Int, n: Int, values: Array[T])(implicit arg0: C[T]): Matrix[T]
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abstract
def
numComponentsForCutoff(s: Matrix[Double], cutoff: Double): Int
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abstract
def
ones[T](m: Int, n: Int)(implicit arg0: C[T]): Matrix[T]
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abstract
def
pca(Xnorm: Matrix[Double], cutoff: Double = 0.95): (Matrix[Double], Matrix[Double])
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abstract
def
rowRange(m: Matrix[Double]): Matrix[Double]
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abstract
def
std(m: Matrix[Double]): Matrix[Double]
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abstract
def
sumsq(m: Matrix[Double]): Matrix[Double]
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abstract
def
zeros[T](m: Int, n: Int)(implicit arg0: C[T]): Matrix[T]
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abstract
def
zscore(m: Matrix[Double]): Matrix[Double]
Concrete Value Members
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final
def
!=(arg0: Any): Boolean
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final
def
##(): Int
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final
def
==(arg0: Any): Boolean
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final
def
asInstanceOf[T0]: T0
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def
clone(): AnyRef
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final
def
eq(arg0: AnyRef): Boolean
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def
equals(arg0: Any): Boolean
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def
finalize(): Unit
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final
def
getClass(): Class[_]
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def
hashCode(): Int
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def
hilb(n: Int): Matrix[Double]
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final
def
isInstanceOf[T0]: Boolean
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def
median(m: Matrix[Double]): Matrix[Double]
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final
def
ne(arg0: AnyRef): Boolean
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final
def
notify(): Unit
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final
def
notifyAll(): Unit
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final
def
synchronized[T0](arg0: ⇒ T0): T0
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def
toString(): String
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final
def
wait(): Unit
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final
def
wait(arg0: Long, arg1: Int): Unit
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final
def
wait(arg0: Long): Unit
Inherited from AnyRef
Inherited from Any
