carbonfact / icanexplain
π Explain why metrics change by unpacking them
β28Updated last month
Related projects β
Alternatives and complementary repositories for icanexplain
- Autoregressive Bayesian linear modelβ21Updated 4 years ago
- WIPβ32Updated 3 months ago
- Time based splits for cross validationβ33Updated last week
- Toolkit to forge scikit-learn compatible estimatorsβ17Updated 3 weeks ago
- ππ Lets Python do AB testing analysisβ75Updated 7 months ago
- implementation of Cyclic Boosting machine learning algorithmsβ87Updated 2 months ago
- The simplest way to deploy a machine learning modelβ23Updated 2 years ago
- Extra functionalities for riverβ14Updated 6 months ago
- A toolbox for fair and explainable machine learningβ53Updated 5 months ago
- Gradient boosting on steroidsβ26Updated 5 months ago
- A proof-of-concept for a RAG to query the scikit-learn documentationβ25Updated this week
- CinnaMon is a Python library which offers a number of tools to detect, explain, and correct data drift in a machine learning systemβ76Updated last year
- A mixture density network, by PyTorch, for scikit-learnβ13Updated 2 months ago
- β¨π² Hierarchical extreme multiclass and multi-label classification.β17Updated last year
- this repo might get acceptedβ29Updated 3 years ago
- Cyclic Boosting Machines - an explainable supervised machine learning algorithmβ59Updated 2 months ago
- Fast and incremental explanations for online machine learning models. Works best with the river framework.β51Updated last year
- [IntemarchΓ©] Sales forecasting challengeβ11Updated 3 years ago
- An abstraction layer for parameter tuningβ36Updated 2 months ago
- Prune your sklearn modelsβ19Updated 3 weeks ago
- Pipeline components that support partial_fit.β43Updated 4 months ago
- ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for anyβ¦β100Updated 2 years ago
- stratx is a library for A Stratification Approach to Partial Dependence for Codependent Variablesβ64Updated 6 months ago
- Skore lets you "Own Your Data Science." It provides a user-friendly interface to track and visualize your modeling results, and perform eβ¦β70Updated this week
- Tries to shrink your Pandas column dtypes with no data loss so you have more spare RAMβ82Updated 10 months ago
- Rethinking machine learning pipelinesβ26Updated this week
- Python package for emotion analysis in Frenchβ14Updated 3 years ago
- Multivariate Boosted TReeβ63Updated 2 years ago
- SciKIt-learn Pipeline in PAndasβ42Updated last year
- A multiverse of Prophet models for timeseriesβ32Updated this week