add nb + plot history model

postprocessing/plot_history.py

+import matplotlib.pyplot as plt
+
+
+def plot_history(hist):
+    '''
+    `hist`: returned by model.fit()
+    '''
+    liste = list(hist.history.keys())
+    metrics = [i for i in liste if 'val' not in i]
+    for metric in metrics:
+        plt.plot(hist.history[f'{metric}'])
+        plt.plot(hist.history[f'val_{metric}'])
+        plt.title(f'model {metric}')
+        plt.ylabel(f'{metric}')
+        plt.xlabel('epoch')
+        plt.legend(['train', 'test'], loc='upper left')
+        plt.show()
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