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make psychometrics curve fitting more robust

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ichuang
2013-03-31 12:52:29 +00:00
parent 26f14aaf6d
commit febcb51133
1 changed files with 10 additions and 7 deletions
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17
lms/djangoapps/psychometrics/psychoanalyze.py
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@@ -246,13 +246,16 @@ def generate_plots_for_problem(problem):
yset['ydat'] = ydat
if len(ydat) > 3: # try to fit to logistic function if enough data points
cfp = curve_fit(func_2pl, xdat, ydat, [1.0, max_attempts / 2.0])
yset['fitparam'] = cfp
yset['fitpts'] = func_2pl(np.array(xdat), *cfp[0])
yset['fiterr'] = [yd - yf for (yd, yf) in zip(ydat, yset['fitpts'])]
fitx = np.linspace(xdat[0], xdat[-1], 100)
yset['fitx'] = fitx
yset['fity'] = func_2pl(np.array(fitx), *cfp[0])
try:
cfp = curve_fit(func_2pl, xdat, ydat, [1.0, max_attempts / 2.0])
yset['fitparam'] = cfp
yset['fitpts'] = func_2pl(np.array(xdat), *cfp[0])
yset['fiterr'] = [yd - yf for (yd, yf) in zip(ydat, yset['fitpts'])]
fitx = np.linspace(xdat[0], xdat[-1], 100)
yset['fitx'] = fitx
yset['fity'] = func_2pl(np.array(fitx), *cfp[0])
except Exception as err:
log.debug('Error in psychoanalyze curve fitting: %s' % err)
dataset['grade_%d' % grade] = yset