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imodels reviews and mentions
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[D] Have researchers given up on traditional machine learning methods?
- all domains requiring high interpretability absolutely ignore deep learning at all, and put all their research into traditional ML; see e.g. counterfactual examples, important interpretability methods in finance, or rule-based learning, important in medical or law applications
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Random Forest Estimation Question
Option 2) fit a model from https://github.com/csinva/imodels on the predicted values of the RF
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[D] Looking for open source projects to contribute
Our package imodels is expanding our sklearn-compatible set of interpretable models and always looking for new contributors!
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A note from our sponsor - InfluxDB
www.influxdata.com | 28 Mar 2024
Stats
csinva/imodels is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of imodels is Jupyter Notebook.
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