Technical Deep Dive, Forecasting, Data Science, Model Validation, Evaluation Metric.
prediction_grid)) mae_prediction_grid = minmax_scale(mae(synthetic_ts.T, prediction_grid)) fig, ax1 = plt.subplots() ax2 = ax1.twinx() # plt.title(f"Metrics Comparison") ax2.set_ylabel("Scaled Score Value") ax1.set_ylabel("Frequency") ax1.set_xlabel("Y") ax1.hist(synthetic_ts, bins=200,