e0e0edc8d1b6478acfce87702592d4c084dc2ee4,Python/phate/phate.py,PHATE,fit,#PHATE#Any#,476

Before Change

            n_landmark = self.n_landmark

        if self.graph is not None:
            if self.X is not None and not (X != self.X).sum() == 0:
                
                If the same data is used, we can reuse existing kernel and
                diffusion matrices. Otherwise we have to recompute.
                
                self.graph = None
        else:
            try:
                self.graph.set_params(
                    decay=self.a, knn=self.k + 1, distance=self.knn_dist,

After Change

                    log_info("Using precomputed graph and diffusion operator...")
                except ValueError as e:
                    // something changed that should have invalidated the graph
                    log_debug("Reset graph due to {}".format(str(e)))
                    self.graph = None

        self.X = X

Instances