ModelOriented / pyCeterisParibusLinks
Python library for Ceteris Paribus Plots (What-if plots)
☆26Updated 4 years ago
Alternatives and similar repositories for pyCeterisParibus
Users that are interested in pyCeterisParibus are comparing it to the libraries listed below
Sorting:
- Python implementation of R package breakDown☆43Updated 2 years ago
- Surrogate Assisted Feature Extraction☆37Updated 4 years ago
- Nested cross-validation for accurate confidence intervals for prediction error.☆43Updated 3 years ago
- Analysis of Categorical Encodings for dense Decision Trees☆41Updated 8 years ago
- bayesian graphical modelling and a bit of do-calculus for discrete data.☆27Updated 5 years ago
- scikit-learn gradient-boosting-model interactions☆25Updated 2 years ago
- Public home of pycorels, the python binding to CORELS☆80Updated 5 years ago
- vtreat is a data frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Distr…☆121Updated 9 months ago
- Flexible tool for bias detection, visualization, and mitigation☆86Updated 8 months ago
- WIP predicted survival functions☆38Updated 6 years ago
- An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model☆74Updated 5 years ago
- A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data☆62Updated 3 months ago
- Small Dataset Benchmarks on the Dataset of Datasets UCI++☆87Updated 3 years ago
- An extension of CatBoost to probabilistic modelling☆147Updated last year
- The holdout randomization test: feature selection using black box predictive models☆22Updated 4 years ago
- Dimensionality reduction for binary data☆51Updated 5 years ago
- Ensemble topic modelling with pLSA☆114Updated 4 years ago
- Documentation for the DALEX project☆36Updated last year
- stratx is a library for A Stratification Approach to Partial Dependence for Codependent Variables☆66Updated last year
- ☆29Updated 4 years ago
- Extends scikit-learn with new models, transformers, metrics, plotting.☆73Updated 3 months ago
- Generalized additive models in Python with a Bayesian twist☆78Updated 2 months ago
- Explaining dimensionality results using SHAP values☆55Updated 9 months ago
- How to use SHAP values for better cluster analysis☆59Updated 3 years ago
- Practical ideas on securing machine learning models☆36Updated 4 years ago
- Library of Stan Models for Survival Analysis☆124Updated 5 years ago
- Helpers for scikit learn☆16Updated 2 years ago
- ☆57Updated 3 years ago
- Multidimensional isotonic regression☆28Updated 8 years ago
- A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …☆63Updated 3 years ago