2019-03-31 01:45:16 +00:00
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import numpy as np
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np.seterr(divide='ignore', invalid='ignore')
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def plot_confusion_matrix(cm,
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save_path,
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normalize=False,
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title='Confusion matrix',
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ylabel='y',
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xlabel='x'):
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"""
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This function prints and plots the confusion matrix.
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Normalization can be applied by setting `normalize=True`.
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"""
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2019-07-12 18:28:49 +00:00
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from matplotlib import pyplot as plt
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2019-03-31 01:45:16 +00:00
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if normalize:
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cm = cm.astype('float') / cm.sum(axis=1)[:, np.newaxis]
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print("Normalized confusion matrix")
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else:
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print('Confusion matrix, without normalization')
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fig = plt.figure()
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plt.matshow(cm)
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plt.title(title)
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plt.colorbar()
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plt.ylabel(ylabel)
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plt.xlabel(xlabel)
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plt.savefig(save_path)
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