Commit 90287055 authored by Florent Chatelain's avatar Florent Chatelain
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up nb

parent 6134ef6f
......@@ -20,7 +20,7 @@ The elements of proof of the main theorems in the core article are detailed in
### Code
The python jupyter notebook [supp_mat_figures.ipynb](https://gricad-gitlab.univ-grenoble-alpes.fr/chatelaf/two-way-kernel-matrix-puncturing/-/blob/master/supp_mat_figures.ipynb) is set up to replicate the figures shown in the paper.
This loads the `punctutils.py` function module. The python modules needed to run the notebook include notably `seaborn` for plotting or `tensorflow` for loading the MNIST-fashion dataset (Figs 6-8).
This loads the local file [punctutils.py](https://gricad-gitlab.univ-grenoble-alpes.fr/chatelaf/two-way-kernel-matrix-puncturing/-/blob/master/punctutils.py) which defines the user's function module. The python modules needed to run the notebook include notably `seaborn` for plotting or `tensorflow` for loading the MNIST-fashion dataset (Figs 6-8).
This notebook can be run interactively and remotely (online) using the _mybinder_ service: [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/git/https%3A%2F%2Fgricad-gitlab.univ-grenoble-alpes.fr%2Fchatelaf%2Ftwo-way-kernel-matrix-puncturing/master?urlpath=lab/tree/supp_mat_figures.ipynb) (open the link and wait a few seconds for the environment to load).
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# coding: utf-8
""" Two-way puncturing utilities to prepare and puncture synthetic or real-word data.
Also comprise functions to display spectral information, limiting population spikes, clustering performances, ... as the figures in the spaper.
""" Two-way puncturing utilities to prepare and puncture synthetic or real-word
data. Also comprise functions to display spectral information, limiting
population spikes, clustering performances, ... as the figures in the paper.
"""
import numpy as np
......
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