[ ] Indicate that one should do hyperparameter optimization before running analyze latent?
[x] How to download tutorial data if not cloning via git (perhaps from link/wget on Zenodo or similar)
[ ] Indicate where and which output files one should look at. E.g. from Tuning the hyperparameters indicate where the output will be
[x] in a how-to-run-on-my-data: Indicate what should be done to run on my own data, e.g. as much help as possible will make it easier for beginners to run it
[x] Indicate how long time it took to run the tutorial for you using CPUs, e.g. so users know they dont need GPU to run
[x] Add that log-file with more details is written as logs/identify_associations.log (for instance)
[ ] Indicate that identify_associations_ttest will run 4 models each with different latent size. Each model is run 10 times for a total of 40 models
[ ] Is it possible to add a small helper script to check the overlap of significant features and the truth data (probably done in notebook)
[ ] Note that running bayes association overwrites the output of ttest association
[x] Front readme: Indicate how to install from git clone
Changes to tutorial: