The OpenD Programming Language

categoricalLPMF

Computes the Categorical log probability mass function (LPMF).

elementType!(Slice!(Iterator, 1, kind)) categoricalLPMF(size_t x, Slice!(Iterator, 1, kind) p)
@safe pure nothrow @nogc
elementType!(Slice!(Iterator, 1, kind))
categoricalLPMF
(
Iterator
SliceKind kind
)
(
const size_t x
,
scope const Slice!(Iterator, 1, kind) p
)
if (
isFloatingPoint!(elementType!(Slice!(Iterator, 1, kind)))
)
T categoricalLPMF(size_t x, T[] p)

Parameters

x size_t: value to evaluate LPMF
p Slice!(Iterator, 1, kind): slice containing the probability associated with the Categorical Distribution

Examples

import mir.math.common: log;
import mir.ndslice.slice: sliced;
import mir.test: shouldApprox;

static immutable x = [0.1, 0.5, 0.4];
auto p = x.sliced;

0.categoricalLPMF(p).shouldApprox == log(0.1);
1.categoricalLPMF(p).shouldApprox == log(0.5);
2.categoricalLPMF(p).shouldApprox == log(0.4);

Can also use dynamic array

import mir.math.common: log;
import mir.test: shouldApprox;

double[] p = [0.1, 0.5, 0.4];

0.categoricalLPMF(p).shouldApprox == log(0.1);
1.categoricalLPMF(p).shouldApprox == log(0.5);
2.categoricalLPMF(p).shouldApprox == log(0.4);

See Also

Categorical Distribution

Meta

Source

See Implementation

mir stat distribution categorical functions