Jimmy-Lin / GeneralizedOptimalSparseDecisionTreesLinks
Generalized Optimal Sparse Decision Trees
☆65Updated last year
Alternatives and similar repositories for GeneralizedOptimalSparseDecisionTrees
Users that are interested in GeneralizedOptimalSparseDecisionTrees are comparing it to the libraries listed below
Sorting:
- Optimal Sparse Decision Trees☆104Updated 2 years ago
- Model Agnostic Counterfactual Explanations☆87Updated 2 years ago
- Multi-Objective Counterfactuals☆42Updated 3 years ago
- Born-Again Tree Ensembles: Transforms a random forest into a single, minimal-size, tree with exactly the same prediction function in the …☆65Updated 2 years ago
- An extension of CatBoost to probabilistic modelling☆145Updated last year
- 💊 Comparing causality methods in a fair and just way.☆139Updated 5 years ago
- Generalized additive model with pairwise interactions☆66Updated last year
- A Python package for unwrapping ReLU DNNs☆70Updated last year
- Bayesian time series forecasting and decision analysis☆116Updated 2 years ago
- Generalized Optimal Sparse Decision Trees☆56Updated last month
- A toolbox for fair and explainable machine learning☆55Updated last year
- A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data☆59Updated last year
- Surrogate Assisted Feature Extraction☆37Updated 3 years ago
- A Python package for building Bayesian models with TensorFlow or PyTorch☆176Updated 2 years ago
- simple customizable risk scores in python☆137Updated 2 years ago
- Public home of pycorels, the python binding to CORELS☆80Updated 5 years ago
- A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …☆63Updated 3 years ago
- An automated machine learning tool aimed to facilitate AutoML research.☆99Updated 10 months ago
- ☆79Updated 2 weeks ago
- Implementation of algorithms from the paper "Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models: Application…☆25Updated 3 years ago
- Feature selection package based on SHAP and target permutation, for pandas and Spark☆31Updated 3 years ago
- 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
- Confidence sequences and uniform boundaries☆64Updated 8 months ago
- python tools to check recourse in linear classification☆76Updated 4 years ago
- CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms☆292Updated last year
- Bayesian Additive Regression Trees For Python☆230Updated last year
- Extended Complexity Library in R☆57Updated 4 years ago
- Python Meta-Feature Extractor package.☆133Updated last year
- ☆74Updated last year
- Generalized additive models in Python with a Bayesian twist☆78Updated last year