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@ -342,19 +342,19 @@ def _penalized_nnlf(self, theta, x):
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if not self._argcheck(*args) or scale <= 0:
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return inf
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x = asarray((x-loc) / scale)
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loginf = log(_XMAX)
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if np.isneginf(self.a).all() and np.isinf(self.b).all():
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Nbad = 0
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else:
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N = len(x)
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cond0 = (x < self.a) | (self.b < x)
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Nbad = sum(cond0)
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if Nbad > 0:
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x = argsreduce(~cond0, x)[0]
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N = len(x)
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return self._nnlf(x, *args) + N*log(scale) + Nbad * 100.0 * loginf
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logpdf = self._logpdf(x, *args)
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finite_logpdf = np.isfinite(logpdf)
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Nbad += np.sum(~finite_logpdf, axis=0)
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logscale = N * log(scale)
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if Nbad > 0:
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penalty = Nbad * log(_XMAX) * 100
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return -np.sum(logpdf[finite_logpdf], axis=0) + penalty + logscale
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return -np.sum(logpdf, axis=0) + logscale
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def _reduce_func(self, args, options):
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