zelros / cinnamon
CinnaMon is a Python library which offers a number of tools to detect, explain, and correct data drift in a machine learning system
☆76Updated 2 years ago
Alternatives and similar repositories for cinnamon:
Users that are interested in cinnamon are comparing it to the libraries listed below
- Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings.☆41Updated last year
- NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for …☆106Updated 2 years ago
- An unsupervised feature selection technique using supervised algorithms such as XGBoost☆89Updated last year
- ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any…☆100Updated 2 years ago
- Random Forest or XGBoost? It is Time to Explore LCE☆66Updated last year
- hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating t…☆64Updated last month
- Multivariate Boosted TRee☆62Updated 2 years ago
- The simplest way to deploy a machine learning model☆23Updated 2 years ago
- TabNet for fastai☆124Updated 3 weeks ago
- 📊 Explain why metrics change by unpacking them☆37Updated last week
- Streamline scikit-learn model comparison.☆145Updated 2 years ago
- ⚓ Eurybia monitors model drift over time and securizes model deployment with data validation☆207Updated 5 months ago
- Probabilistic Gradient Boosting Machines☆149Updated last year
- A toolbox for fair and explainable machine learning☆55Updated 9 months ago
- ☆30Updated 3 years ago
- ForML - A development framework and MLOps platform for the lifecycle management of data science projects☆105Updated last year
- Cyclic Boosting Machines - an explainable supervised machine learning algorithm☆60Updated 7 months ago
- Adds partial fit method to sklearn's forest estimators to allow incremental training without being limited to a linear model. Works with …☆36Updated 9 months ago
- Helpers for scikit learn☆16Updated 2 years ago
- Clustering for mixed-type data☆99Updated 8 months ago
- stratx is a library for A Stratification Approach to Partial Dependence for Codependent Variables☆65Updated 11 months ago
- A scikit-learn compatible estimator based on business-rules with interactive dashboard included☆28Updated 3 years ago
- A library of Reversible Data Transforms☆123Updated this week
- Advanced random forest methods in Python☆57Updated last year
- Frouros: an open-source Python library for drift detection in machine learning systems.☆213Updated 2 months ago
- A practical Active Learning python package with a strong focus on experiments.☆51Updated 2 years ago
- Pipeline components that support partial_fit.☆46Updated 8 months ago
- Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟☆53Updated 3 years ago
- Phi_K correlation analyzer library☆164Updated 2 months ago
- Model Agnostic Confidence Estimator (MACEST) - A Python library for calibrating Machine Learning models' confidence scores☆100Updated last year