Demo notebooks

[Catarina-Alves]

These notebooks show an example of how to use snmachine code.

This PR can only be accepted after #240 and #243.

[Catarina-Alves]

After those two PRs have been accepted, I want to check these notebooks and update them if needed.

[Catarina-Alves]

The example_spcc notebook should be ignored in this PR. I modified here it by accident.

[Catarina-Alves]

Hi @gnarayan, thank you for the feedback and useful comments!

I made a few modifications following the feedback:

• I am aware that there is a printed message regarding pymultinest in notebook 5, but this package should not be needed if all the algorithms are run with number_processes=1. Were you forced to install it? If so, can you tell me which function triggered the behavior? pymultinest is not installed through the major install because you can run the entire snmachine pipeline without it
• I fixed the ValueError issue in notebook 4 and no longer use the bw input (this matplotlib input changed quite a bit recently)
• I have now saved the outputs (they can be easily checked by looking at the notebooks on github that include all the outputs).
• The results you obtained in notebook 7 and in example_plasticc are correct. They are much worse than the ones obtained through example_plasticc.ipynb because the numbered notebooks are designed to be fast to run. Thus they use much fewer data and yield much worse results. I added a comment in notebook 7 highlighting this difference. Additionally, I highlighted at the beginning of example_plasticc.ipynb that this notebook also uses a small dataset and therefore the results are not as good as the ones shown in the paper.

Some of the GPs e.g. Objid 4220 look very overfit - some guidance on changing kernel parameters (or description of how they are chosen) could be useful.

Regarding the GPs, at the moment the 2D GP parameters are not tunable. I added a link to the section of the paper where they are described in notebook example_plasticc.ipynb.