ppforest2 v0.1.0
Projection Pursuit Decision Trees and Random Forests
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Uniform.hpp
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1#pragma once
2
3#include <vector>
4#include "stats/Stats.hpp"
5
6namespace ppforest2::stats {
25 class Uniform {
26 private:
27 int min;
28 int max;
29
46 uint32_t gen_lemire(uint32_t s, RNG& rng) const;
47
48 public:
55 Uniform(int min, int max);
56
63 int operator()(RNG& rng) const;
64
72 std::vector<int> operator()(int count, RNG& rng) const;
73
90 std::vector<int> distinct(int count, RNG& rng);
91 };
92}
ppforest2::stats::Uniform::operator()
std::vector< int > operator()(int count, RNG &rng) const
Generate multiple uniform random integers (with replacement).
ppforest2::stats::Uniform::distinct
std::vector< int > distinct(int count, RNG &rng)
Sample without replacement from [min, max].
ppforest2::stats::Uniform::Uniform
Uniform(int min, int max)
Construct a uniform integer generator over [min, max].
ppforest2::stats::Uniform::operator()
int operator()(RNG &rng) const
Generate a single uniform random integer in [min, max].
ppforest2::stats
Statistical infrastructure for training and evaluation.
Definition ConfusionMatrix.hpp:11
ppforest2::stats::RNG
pcg32 RNG
Definition Stats.hpp:19