Technical Deep Dive, Forecasting, Data Science, Model Validation, Evaluation Metric.
Dataset #metrics formulas def mae(y_true, y_pred): return np.mean(np.abs(y_true - y_pred), axis=1) def rmse(y_true, y_pred): return np.sqrt(np.mean((y_true - y_pred)**2, axis=1)) def mse(y_true, y_pred): return np.mean((y_true - y_pred)**2, axis=1) def minmax_scale(y): return (y - np.min(y)) /