ModelOriented / SAFE
Surrogate Assisted Feature Extraction
β36Updated 3 years ago
Alternatives and similar repositories for SAFE:
Users that are interested in SAFE are comparing it to the libraries listed below
- Helpers for scikit learnβ16Updated 2 years ago
- An extension of CatBoost to probabilistic modellingβ142Updated last year
- πͺ Bayesian Hierarchical Models at Scaleβ52Updated 3 years ago
- Time series forecasting with tree ensemblesβ13Updated 3 years ago
- A Python package with explanation methods for extraction of feature interactions from predictive modelsβ29Updated last year
- Example usage of scikit-htsβ57Updated 2 years ago
- Implementation of algorithms from the paper "Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models: Applicationβ¦β24Updated 2 years ago
- Logistic regression with bound and linear constraints. L1, L2 and Elastic-Net regularization.β33Updated last year
- Feature selection package based on SHAP and target permutation, for pandas and Sparkβ30Updated 2 years ago
- XAI Stories. Case studies for eXplainable Artificial Intelligenceβ29Updated 4 years ago
- A python package for hierarchical forecasting, inspired by hts package in R.β28Updated 11 months ago
- Documentation for the DALEX projectβ36Updated 11 months ago
- A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and β¦β63Updated 3 years ago
- Automated Transparent Genetic Feature Engineeringβ22Updated last year
- GAMI-Net: Generalized Additive Models with Structured Interactionsβ30Updated 2 years ago
- Python library to explain Tree Ensemble models (TE) like XGBoost, using a rule list.β50Updated 9 months ago
- ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for anyβ¦β100Updated 2 years ago
- Fast implementation of Venn-ABERS probabilistic predictorsβ72Updated last year
- A Python library that implements scoring utilities, analysis strategies, and visualization methods which can serve uplift modeling use-caβ¦β24Updated last year
- Python implementation of R package breakDownβ42Updated last year
- This repository contains the experiments related with a new baseline model that can be used in forecasting weekly time series. This modelβ¦β47Updated 3 years ago
- Performance estimation for time series forecasting tasksβ39Updated 4 years ago
- Wrapper around MLForecast for more plug and play forecastingβ11Updated last year
- Repository for the research and implementation of categorical encoding into a Featuretools-compatible Python libraryβ51Updated 2 years ago
- A full example for causal inference on real-world retail data, for elasticity estimationβ49Updated 3 years ago
- Validation for forecastsβ18Updated last year
- Developmental tools to detect data driftβ14Updated 11 months ago
- Bringing back uncertainty to machine learning.β50Updated 8 months ago
- Smart, automatic detection and stationarization of non-stationary time series data.β29Updated 2 years ago