superclass of breeze distributions

Asked Oct 06 '16 at 22:41

Active Oct 06 '16 at 22:41

Viewed 42 times

I am trying to use Breeze distributions as an argument to a function. A trivial example would be:

def foo(d: D, x: Double) = d.logPdf(x)

I would like this to work for examples

foo(Gassian(0,1),0.5)
foo(Laplace(0,1),0.5)

The problem is I do not know what "D" should be in the function signiature, or the name of the more general concept which I am encountering here.

asked Oct 06 '16 at 22:41

Lindon

1

If both `Gaussian` and `Laplace` descend from the same class `Distribution`: `def foo[D <: Distribution](d: D, x: Double) = ...` – Victor Moroz Oct 06 '16 at 23:22
How do I find the class they are derived from – Lindon Oct 07 '16 at 00:34
1

Looking at the source code? `case class Gaussian(...) extends ContinuousDistr[Double] ...`. So `def foo[D <: ContinuousDistr[Double]](...)`. – Victor Moroz Oct 07 '16 at 02:49

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