carbonfact / icanexplain
π Explain why metrics change by unpacking them
β37Updated 2 months ago
Alternatives and similar repositories for icanexplain:
Users that are interested in icanexplain are comparing it to the libraries listed below
- Toolkit to forge scikit-learn compatible estimatorsβ18Updated last week
- Time based splits for cross validationβ37Updated last week
- A proof-of-concept for a RAG to query the scikit-learn documentationβ26Updated last week
- Autoregressive Bayesian linear modelβ21Updated 4 years ago
- The simplest way to deploy a machine learning modelβ23Updated 2 years ago
- Cyclic Boosting Machines - an explainable supervised machine learning algorithmβ60Updated 6 months ago
- [IntemarchΓ©] Sales forecasting challengeβ11Updated 3 years ago
- WIPβ33Updated 7 months ago
- π² Git scraping for bike sharing APIsβ20Updated this week
- Tools for diagnostics and assessment of (machine learning) modelsβ34Updated last week
- Gradient boosting on steroidsβ27Updated 8 months ago
- implementation of Cyclic Boosting machine learning algorithmsβ89Updated 6 months ago
- A mixture density network, by PyTorch, for scikit-learnβ22Updated 3 months ago
- CinnaMon is a Python library which offers a number of tools to detect, explain, and correct data drift in a machine learning systemβ77Updated 2 years ago
- ππ Lets Python do AB testing analysisβ76Updated 11 months ago
- A toolbox for fair and explainable machine learningβ55Updated 8 months ago
- Extra functionalities for riverβ14Updated 9 months ago
- Prune your sklearn modelsβ19Updated 4 months ago
- SciKIt-learn Pipeline in PAndasβ42Updated last year
- An abstraction layer for parameter tuningβ35Updated 6 months ago
- Pipeline components that support partial_fit.β45Updated 7 months ago
- A tutorial on how to use kedro-mlflow plugin (https://github.com/Galileo-Galilei/kedro-mlflow) to synchronize training and inference and β¦β37Updated 2 years ago
- Rethinking machine learning pipelinesβ28Updated 3 months ago
- Repository for the explanation method Calibrated Explanations (CE)β64Updated last week
- Exploratory repository to study predictive survival analysis modelsβ33Updated last year
- An unsupervised feature selection technique using supervised algorithms such as XGBoostβ89Updated last year
- Exploring some issues related to churnβ17Updated 11 months ago
- A kedro plugin to use pandera in your kedro projectsβ35Updated 4 months ago
- this repo might get acceptedβ29Updated 4 years ago