mercs 0.0.22

MERCS: Multi-Directional Ensembles of Regression and Classification treeS

mercs

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Description

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Installation

In order to set up the necessary environment:

1. create an environment mercs with the help of [conda],

   conda env create -f environment.yaml
   

2. activate the new environment with

   conda activate mercs
   

3. install mercs with:

   python setup.py install # or `develop`
   

Then take a look into the scripts and notebooks folders.

Dependency Management & Reproducibility

1. Always keep your abstract (unpinned) dependencies updated in environment.yaml and eventually in setup.cfg if you want to ship and install your package via pip later on.

2. Create concrete dependencies as environment.lock.yaml for the exact reproduction of your environment with:

   conda env export -n mercs -f environment.lock.yaml
   

   N.b.: For multi-OS development, consider using --no-builds during the export.

3. Update your current environment with respect to a new environment.lock.yaml using:

   conda env update -f environment.lock.yaml --prune