# Sebastian Raschka 2014-2020
# mlxtend Machine Learning Library Extensions
#
# Base Clusteer (Clutering Parent Class)
# Author: Sebastian Raschka <sebastianraschka.com>
#
# License: BSD 3 clause

import numpy as np


class _MultiClass(object):

    def __init__(self):
        pass

    def _one_hot(self, y, n_labels, dtype):
        """Returns a matrix where each sample in y is represented
           as a row, and each column represents the class label in
           the one-hot encoding scheme.

        Example:

            y = np.array([0, 1, 2, 3, 4, 2])
            mc = _BaseMultiClass()
            mc._one_hot(y=y, n_labels=5, dtype='float')

            np.array([[1., 0., 0., 0., 0.],
                      [0., 1., 0., 0., 0.],
                      [0., 0., 1., 0., 0.],
                      [0., 0., 0., 1., 0.],
                      [0., 0., 0., 0., 1.],
                      [0., 0., 1., 0., 0.]])

        """
        mat = np.zeros((len(y), n_labels))
        for i, val in enumerate(y):
            mat[i, val] = 1
        return mat.astype(dtype)