6f32626effedfaeba3c51debb39d556302922728,Python/phate/phate.py,PHATE,fit_transform,#PHATE#Any#,770

Before Change

        embedding : array, shape=[n_samples, n_dimensions]
            The cells embedded in a lower dimensional space using PHATE
        
        start = time.time()
        self.fit(X)
        self.transform(**kwargs)
        if self.verbose:
            print("Finished PHATE embedding in {:.2f} seconds.\n".format(
                time.time() - start))
        return self.embedding

    def von_neumann_entropy(self, t_max=100):
        

After Change

        embedding : array, shape=[n_samples, n_dimensions]
            The cells embedded in a lower dimensional space using PHATE
        
        log_start("PHATE")
        self.fit(X)
        self.transform(**kwargs)
        log_complete("PHATE")
        return self.embedding

Instances