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How to use 'convert categorical variable to numeric python sklearn' in Python

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gongzhitaao/tensorflow-adversarial
35def _to_categorical(x, n_classes):
36    x = np.array(x, dtype=int).ravel()
37    n = x.shape[0]
38    ret = np.zeros((n, n_classes))
39    ret[np.arange(n), x] = 1
40    return ret
NeuromorphicProcessorProject/snn_toolbox
165def to_categorical(y, nb_classes):
166    """Convert class vector to binary class matrix.
167
168    If the input ``y`` has shape (``nb_samples``,) and contains integers from 0
169    to ``nb_classes``, the output array will be of dimension
170    (``nb_samples``, ``nb_classes``).
171    """
172
173    y = np.asarray(y, dtype='int32')
174    y_cat = np.zeros((len(y), nb_classes))
175    for i in range(len(y)):
176        y_cat[i, y[i]] = 1.
177    return y_cat

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