Metadata-Version: 2.1
Name: mercs
Version: 0.0.23
Summary: MERCS: Multi-Directional Ensembles of Regression and Classification treeS
Home-page: https://github.com/eliavw
Author: Elia vw
Author-email: elia.vw@gmail.com
License: mit
Project-URL: Documentation, https://github.com/eliavw
Description: # mercs
        
        Add a short description here!
        
        ## Description
        
        A longer description of your project goes here...
        
        ## 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
           ```
        
Platform: any
Classifier: Development Status :: 4 - Beta
Classifier: Programming Language :: Python
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Provides-Extra: testing
