def predict_log_proba(self, X):
        proba = self.predict_proba(X)
        if self.n_outputs_ == 1:
            return np.log(proba)
        else:
            return [np.log(p) for p in proba]
All of the group commands position their individual controls in columns starting at column 1. The layout of each control
dataset/ETHPy150Open scikit-learn/scikit-learn/sklearn/dummy.py/DummyClassifier.predict_log_proba--crossover with--dataset/ETHPy150Open CountZer0/PipelineConstructionSet/python/maya/site-packages/pymel-1.0.5/extras/completion/py/pymel/core/windows.py/floatSliderButtonGrp