browndwarf / kinder Goto Github PK

In order to run these notebooks, you will need to install

• python3 jupyter numpy scipy astropy matplotlib pandas seaborn (astroquery)

We recommend installing with conda, so you can single-line install these like so:

conda install --name KeplerTutorials python=3 jupyter numpy scipy astropy matplotlib pandas seaborn  
source activate KeplerTutorials

We'll need it.

We are at the AAS230 hackday, woooo!!
We have feedback regarding tutorials--

1. Have a dictionary by data source of all the table names. For example: COO_QUAL should be explained (this comes from Simbad).

We'll need it.

We'll need:

• A function that computes the cross-validation score for subsamples
• A function that iterates the cross-validation for varying model complexity
• A function that ties this all together for multiple sources.