BaseISC.py 文件源码

def loglikelihood(self,X,y=None):
        assert isinstance(X, ndarray) and (self.class_column is None and y is None or len(y) == len(X))

        if y is not None:
            return self._anomaly_detector._LogProbabilityOfData(pyisc.DataObject(c_[X,y], class_column=len(X[0])), len(X)).sum()
        else:
            return self._anomaly_detector._LogProbabilityOfData(pyisc.DataObject(X), len(X)).sum()