Main Boostrap Functions¶
- class pyqt_fit.bootstrap.BootstrapResult(y_fit, y_est, y_eval, CIs, shuffled_xs, shuffled_ys, full_results)¶
Note
This is a class created with pyqt_fit.utils.namedtuple().
- y_fit¶
Y estimated on xdata
- y_est: ndarray
Y estimated on eval_points
- CIs¶
List of confidence intervals. The first element is for the estimated values on eval_points. The others are for the extra attributes specified in extra_attrs. Each array is a 3-dimensional array (Q,2,N), where Q is the number of confidence interval and N is the number of data points. Values (x,0,y) give the lower bounds and (x,1,y) the upper bounds of the confidence intervals.
- shuffled_xs¶
if full_results is True, the shuffled x’s used for the bootstrapping
- shuffled_ys¶
if full_results is True, the shuffled y’s used for the bootstrapping
- full_results¶
if full_results is True, the estimated y’s for each shuffled_ys