ModelOriented / SAFELinks
Surrogate Assisted Feature Extraction
☆37Updated 3 years ago
Alternatives and similar repositories for SAFE
Users that are interested in SAFE are comparing it to the libraries listed below
Sorting:
- Helpers for scikit learn☆16Updated 2 years ago
- A Python package with explanation methods for extraction of feature interactions from predictive models☆30Updated last year
- A python package for hierarchical forecasting, inspired by hts package in R.☆28Updated 4 months ago
- A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …☆63Updated 3 years ago
- Bringing back uncertainty to machine learning.☆52Updated last year
- 🪜 Bayesian Hierarchical Models at Scale☆52Updated 3 years ago
- Feature selection package based on SHAP and target permutation, for pandas and Spark☆30Updated 3 years ago
- GAMI-Net: Generalized Additive Models with Structured Interactions☆31Updated 3 years ago
- Documentation for the DALEX project☆36Updated last year
- Time series forecasting with tree ensembles☆13Updated 3 years ago
- 🥄✨Time-series Benchmark methods that are Simple and Probabilistic☆41Updated last year
- This repository contains the experiments related with a new baseline model that can be used in forecasting weekly time series. This model…☆47Updated 3 years ago
- Logistic regression with bound and linear constraints. L1, L2 and Elastic-Net regularization.☆33Updated 2 years ago
- Developmental tools to detect data drift☆16Updated 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…☆102Updated 2 years ago
- A full example for causal inference on real-world retail data, for elasticity estimation☆50Updated 3 years ago
- Automated Transparent Genetic Feature Engineering☆22Updated last year
- Python library for Ceteris Paribus Plots (What-if plots)☆24Updated 4 years ago
- Smart, automatic detection and stationarization of non-stationary time series data.☆29Updated 2 years ago
- Code for blog posts.☆19Updated last year
- A scikit-learn compatible estimator based on business-rules with interactive dashboard included☆28Updated 3 years ago
- An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model☆75Updated 5 years ago
- Fast Bayesian A/B and Multivariate testing.☆36Updated 2 years ago
- Comparing different performance estimation methods for time series forecasting tasks☆37Updated last month
- Implementation of algorithms from the paper "Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models: Application…☆25Updated 3 years ago
- An extension of CatBoost to probabilistic modelling☆144Updated last year
- 💊 Comparing causality methods in a fair and just way.☆139Updated 5 years ago
- XAI Stories. Case studies for eXplainable Artificial Intelligence☆29Updated 4 years ago
- Friday Forecasting Talks materials☆11Updated last year
- Fast implementation of Venn-ABERS probabilistic predictors☆74Updated last year