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@@ -238,7 +238,8 @@ def main():
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if len(backups) > 0:
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last_backup_file = backups[-1]
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- model = load_model(last_backup_file)
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+ last_backup_file_path = os.path.join(model_backup_folder, last_backup_file)
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+ model = load_model(last_backup_file_path)
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# get initial epoch
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initial_epoch = int(last_backup_file.split('_')[-1].replace('.h5', ''))
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@@ -281,12 +282,13 @@ def main():
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model.save(model_output_path)
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# Get results obtained from model
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- y_train_prediction = model.predict(X_train)
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- y_val_prediction = model.predict(X_val)
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- y_test_prediction = model.predict(x_dataset_test)
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+ y_train_prediction = model.predict(np.array(X_train))
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+ y_val_prediction = model.predict(np.array(X_val))
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+ y_test_prediction = model.predict(np.array(x_dataset_test))
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y_train_prediction = np.argmax(y_train_prediction, axis=1)
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y_val_prediction = np.argmax(y_val_prediction, axis=1)
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+ y_test_prediction = np.argmax(y_test_prediction, axis=1)
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acc_train_score = accuracy_score(y_train, y_train_prediction)
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acc_val_score = accuracy_score(y_val, y_val_prediction)
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