AnomalyClustering.py 文件源码

def fit(self,X,verbose=False):
        ss =[]
        labels_list = []
        for i in xrange(self.n_repeat):
            od = self._create_detector(*self.ad_parms0, **self.ad_parms1)
            labels = self._train_clf(od, X, self.n_clusters,verbose=verbose)

            ss += [od.loglikelihood(X,labels)]

            labels_list += [labels]

        #print ss, labels

        self._detector_fit(X, np.array(labels_list[np.argmax(ss)]))

        self.clf_ = SklearnClassifier.clf(self)

        return self