def predict_log_proba(self, X):
        # XXX : can do better to avoid precision overflows
        probas_ = self.predict_proba(X)
        return np.log(probas_)
Gets a class alias based on the supplied C{klass}. If one is not found
dataset/ETHPy150Open scikit-learn/scikit-learn/sklearn/discriminant_analysis.py/QuadraticDiscriminantAnalysis.predict_log_proba--crossover with--dataset/ETHPy150Open AppScale/appscale/AppServer/lib/PyAMF-0.6.1/pyamf/codec.py/Context.getClassAlias