doubletdetection.plot.convergence#
- doubletdetection.plot.convergence(clf, show=False, save=None, p_thresh=1e-07, voter_thresh=0.9)[source]#
Produce a plot showing number of cells called doublet per iter
- Parameters
clf (BoostClassifier object) – Fitted classifier
show (bool, optional) – If True, runs plt.show()
save (str, optional) – filename for saved figure, figure not saved by default
p_thresh (float, optional) – hypergeometric test p-value threshold that determines per iteration doublet calls
voter_thresh (float, optional) – fraction of iterations a cell must be called a doublet
- Returns
matplotlib figure