Hi, I find a useful code snippet on link:
http://stackoverflow.com/questions/25126444/logistic-regression-in-pymc/34400966#34400966 but it has error on plot function. The error message is as following: --------- %run "C:\Users\rj\pyprj\logic_regression0.py" [-----------------100%-----------------] 10000 of 10000 complete in 12.6 secPlotting beta0 Plotting tau Plotting betaSalad Plotting sigma --------------------------------------------------------------------------- UnboundLocalError Traceback (most recent call last) C:\Users\pyprj\logic_regression0.py in <module>() 34 #m.sample(100000, 50000, 50) 35 m.sample(10000, 5000, 50) ---> 36 pm.Matplot.plot(m) 37 import matplotlib.pyplot as plt 38 #plt.plot(m) C:\Users\AppData\Local\Enthought\Canopy\User\lib\site- packages\pymc\Matplot.pyc in wrapper(pymc_obj, *args, **kwargs) 339 if args: 340 name = '%s_%s' % (args[0], variable.__name__) --> 341 f(data, name, *args, **kwargs) 342 return 343 except AttributeError: C:\Users\AppData\Local\Enthought\Canopy\User\lib\site-packages\pymc\Matplot.pyc in plot(data, name, format, suffix, path, common_scale, datarange, new, last, rows, num, fontmap, verbose) 453 num=num * 2, 454 last=last, --> 455 fontmap=fontmap) 456 457 if last: C:\Users\AppData\Local\Enthought\Canopy\User\lib\site-packages\pymc\Matplot.pyc in wrapper(pymc_obj, *args, **kwargs) 375 376 # If others fail, assume that raw data is passed --> 377 f(pymc_obj, *args, **kwargs) 378 379 wrapper.__doc__ = f.__doc__ C:\Users\AppData\Local\Enthought\Canopy\User\lib\site-packages\pymc\Matplot.pyc in histogram(data, name, bins, datarange, format, suffix, path, rows, columns, num, last, fontmap, verbose) 576 577 # Generate histogram --> 578 hist(data.tolist(), bins, histtype='stepfilled') 579 580 xlim(datarange) C:\Users\AppData\Local\Enthought\Canopy\User\lib\site-packages\matplotlib\pyplot.py in hist(x, bins, range, normed, weights, cumulative, bottom, histtype, align, orientation, rwidth, log, color, label, stacked, hold, data, **kwargs) 2956 histtype=histtype, align=align, orientation=orientation, 2957 rwidth=rwidth, log=log, color=color, label=label, -> 2958 stacked=stacked, data=data, **kwargs) 2959 finally: 2960 ax.hold(washold) C:\Users\AppData\Local\Enthought\Canopy\User\lib\site-packages\matplotlib\__init__.py in inner(ax, *args, **kwargs) 1809 warnings.warn(msg % (label_namer, func.__name__), 1810 RuntimeWarning, stacklevel=2) -> 1811 return func(ax, *args, **kwargs) 1812 pre_doc = inner.__doc__ 1813 if pre_doc is None: C:\Users\AppData\Local\Enthought\Canopy\User\lib\site-packages\matplotlib\axes\_axes.py in hist(self, x, bins, range, normed, weights, cumulative, bottom, histtype, align, orientation, rwidth, log, color, label, stacked, **kwargs) 6192 ymin = np.amin(m[m != 0]) 6193 # filter out the 0 height bins -> 6194 ymin = max(ymin*0.9, minimum) if not input_empty else minimum 6195 ymin = min(ymin0, ymin) 6196 self.dataLim.intervaly = (ymin, ymax) UnboundLocalError: local variable 'ymin' referenced before assignment ///////////// I have no clue at all on debug it. Could you help me? Thanks, -- https://mail.python.org/mailman/listinfo/python-list
