Large-scale data cause the server down

[kkyyhh96]

When the data set has about 3000 polygons/points with more than 20 attributes, the program will make the server down. My server was shutdown because of this for several times. I was running the code on a Linux server with python 3.6, mgwr 2.0.0, more than 72 CPU cores and 300G+ memories.

[Ziqi-Li]

Hi @kkyyhh96.

We have applied some optimizations recently #52. Could you please install the latest version we currently have on Github master brach (v2.1.0).

For the size of the problem you are having (3000 with 20 features), the current master brach on GitHub should be able to handle it. To increase the performance, I would also suggest to install numba via pip. Also if you are encountering any memory issue, please try increasing the n_chunks parameters in MGWR.fit() to get over the memory problem.

I am closing this issue, if you are still having this problem, please let us know.