sdpython / mlinsights
Extends scikit-learn with new models, transformers, metrics, plotting.
☆72Updated 5 months ago
Alternatives and similar repositories for mlinsights:
Users that are interested in mlinsights are comparing it to the libraries listed below
- An extension of CatBoost to probabilistic modelling☆142Updated last year
- Generalized additive models in Python with a Bayesian twist☆77Updated 8 months ago
- scikit-learn-inspired time series☆199Updated 11 months ago
- A scikit-learn compatible implementation of hyperband☆76Updated 5 years ago
- A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …☆63Updated 3 years ago
- pymc-learn: Practical probabilistic machine learning in Python☆226Updated 4 years ago
- Advanced random forest methods in Python☆58Updated last year
- Python package for performing the Alternating Conditional Expectation (ACE) regression☆71Updated last year
- Confidence intervals for scikit-learn forest algorithms☆286Updated 7 months ago
- scikit-learn gradient-boosting-model interactions☆25Updated last year
- Helpers for scikit learn☆16Updated 2 years ago
- stratx is a library for A Stratification Approach to Partial Dependence for Codependent Variables☆65Updated 9 months ago
- Feature selection package based on SHAP and target permutation, for pandas and Spark☆30Updated 2 years ago
- mlmachine accelerates machine learning experimentation☆30Updated 3 years ago
- scikit-learn compatible implementation of stability selection.☆211Updated last year
- Home of the PipeGraph extension to Scikit-Learn☆24Updated last year
- Example usage of scikit-hts☆57Updated 2 years ago
- Probabilistic prediction with XGBoost.☆105Updated this week
- An unsupervised feature selection technique using supervised algorithms such as XGBoost☆89Updated last year
- Adds partial fit method to sklearn's forest estimators to allow incremental training without being limited to a linear model. Works with …☆36Updated 8 months ago
- A Python package for building Bayesian models with TensorFlow or PyTorch☆173Updated 2 years ago
- CinnaMon is a Python library which offers a number of tools to detect, explain, and correct data drift in a machine learning system☆77Updated 2 years ago
- ☆102Updated this week
- Better `keras` models for time series and beyond☆61Updated last year
- Fast implementation of Venn-ABERS probabilistic predictors☆72Updated last year
- Global, derivative-free optimization for hyperparameter tuning☆41Updated 2 years ago
- Random stuff I've been working on☆28Updated last year
- General Interpretability Package☆58Updated 2 years ago
- Missing data amputation and exploration functions for Python☆67Updated 2 years ago
- Code for performing various projection pursuit routines☆35Updated 2 years ago