plot_predicted_vs_true_bars

mastml.plot_helper.plot_predicted_vs_true_bars(y_true, y_pred_list, avg_stats, savepath, title='best worst with bars', label='target_value', groups=None)

Method to calculate parity plot (predicted vs. true) of average predictions, averaged over all CV splits, with error

bars on each point corresponding to the standard deviation of the predicted values over all CV splits.

Args:

y_true: (numpy array), array of true y data

y_pred_list: (list), list of numpy arrays containing predicted y data for each CV split

avg_stats: (dict), dict of calculated average metrics over all CV splits

savepath: (str), path to save plots to

title: (str), title of the best_worst_per_point plot

label: (str), label used for axis labeling

Returns:

None