| import matplotlib.pyplot as plt
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| import json
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|
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| def plot_training_history(history):
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|
|
| if isinstance(history, dict):
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| hist = history
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| else:
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| hist = history.history
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|
|
| plt.figure(figsize=(12, 5))
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|
|
|
|
| plt.subplot(1, 2, 1)
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| plt.plot(hist['loss'], label='Train Loss')
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| plt.plot(hist['val_loss'], label='Val Loss')
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| plt.title('Loss por Época')
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| plt.xlabel('Época')
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| plt.ylabel('MSE')
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| plt.legend()
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|
|
|
|
| plt.subplot(1, 2, 2)
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| plt.plot(hist['mae'], label='Train MAE')
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| plt.plot(hist['val_mae'], label='Val MAE')
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| plt.title('Erro Absoluto Médio por Época')
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| plt.xlabel('Época')
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| plt.ylabel('MAE')
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| plt.legend()
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|
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| plt.tight_layout()
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| plt.show()
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|
|
|
| def load_history_from_json(filepath):
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| with open(filepath, 'r') as f:
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| return json.load(f)
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|
