ICA.py 文件源码

def _fit_local(self, data):


        from sklearn.decomposition import FastICA
        from numpy import random
        random.seed(self.seed)
        model = FastICA(n_components=self.k, fun="cube", max_iter=self.max_iter, tol=self.tol, random_state=self.seed)
        signals = model.fit_transform(data)
        return signals, model.mixing_.T