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https://github.com/mayer79/interpretable_ml
Some code snippets about making machine learning models less black box
https://github.com/mayer79/interpretable_ml
Last synced: 15 days ago
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Some code snippets about making machine learning models less black box
- Host: GitHub
- URL: https://github.com/mayer79/interpretable_ml
- Owner: mayer79
- Created: 2019-04-23T18:22:24.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2019-07-17T19:38:07.000Z (over 5 years ago)
- Last Synced: 2024-10-04T12:57:07.252Z (3 months ago)
- Language: HTML
- Size: 6.79 MB
- Stars: 0
- Watchers: 3
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Interpretable Machine Learning
- `01_prepare.R`: Data preparation
- `02_modelling.R`: Modelling
- `03_report.Rmd`: R Markdown script with background, descriptions and results.
- `functions.R`: Collection of functions used within the project. Always read via `source` if required.
It suffices to run each script once. Afterwards, they can be run independently in fresh R sessons.
TODO: Univariate data description