spectral_data.py 文件源码

def ica(self, col, nc=None, load_fit=None):
        if nc:
            self.do_ica = FastICA(n_components=nc)
            self.do_ica.fit(self.df[col])
        if load_fit:  # use this to load a previous fit rather than fit the current data
            self.do_ica = load_fit
        ica_result = self.do_ica.transform(self.df[col])
        for i in list(range(1, self.do_ica.n_components + 1)):
            self.df[('ICA', i)] = ica_result[:, i - 1]