larsmans

import numpy as np
#from scipy.special import chdtrc
from scipy.sparse import spdiags

from sklearn.base import BaseEstimator, TransformerMixin
from sklearn.preprocessing import LabelBinarizer


def _chisquare(f_obs, f_exp, reduce):
    """Replacement for scipy.stats.chisquare with custom reduction.

larsmans

/*
 * Nonogram/paint-by-numbers solver in SWI-Prolog. Uses CLP(FD),
 * in particular the automaton/3 (finite-state/RE) constraint.
 * Copyright 2011, 2014 Lars Buitinck
 * Copyright 2014 Markus Triska
 * Do with this code as you like, but don't remove the copyright notice.
 */

:- use_module(library(clpfd)).

larsmans

"""
Three ways of computing the Hellinger distance between two discrete
probability distributions using NumPy and SciPy.
"""

import numpy as np
from scipy.linalg import norm
from scipy.spatial.distance import euclidean