nogueirs / JMLR2018
The code of the experiments of the submitted paper "On the stability of Feature Selection" in Matlab, R and Python.
☆17Updated 6 years ago
Alternatives and similar repositories for JMLR2018:
Users that are interested in JMLR2018 are comparing it to the libraries listed below
- An automated machine learning tool aimed to facilitate AutoML research.☆96Updated 5 months ago
- Python Meta-Feature Extractor package.☆130Updated 7 months ago
- Feature selection package based on SHAP and target permutation, for pandas and Spark☆30Updated 2 years ago
- Surrogate Assisted Feature Extraction☆36Updated 3 years ago
- pyCausalFS：A Python Library of Causality-based Feature Selection for Causal Structure Learning and Classification☆67Updated 4 years ago
- Extended Complexity Library in R☆57Updated 4 years ago
- Implementation of algorithms from the paper "Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models: Application…☆24Updated 2 years ago
- An open-source package of causal feature selection and causal (Bayesian network) structure learning (C/C++ version)☆59Updated 4 years ago
- Public home of pycorels, the python binding to CORELS☆77Updated 4 years ago
- Model Agnostic Counterfactual Explanations☆86Updated 2 years ago
- Generalized Optimal Sparse Decision Trees☆62Updated 11 months ago
- A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …☆63Updated 3 years ago
- Python implementation of iterative-random-forests☆64Updated last year
- ☆90Updated 2 months ago
- Meta-Feature Extractor☆28Updated 2 years ago
- Multi-Objective Counterfactuals☆41Updated 2 years ago
- Distributional Random Forests (Cevid et al., 2020)☆39Updated last year
- ☆15Updated 6 years ago
- Create sparse and accurate risk scoring systems!☆35Updated 6 months ago
- An extension of CatBoost to probabilistic modelling☆142Updated last year
- Python code to prune ensembles☆13Updated 2 years ago
- Tutorial on Bayesian tests for Machine Learning☆76Updated 4 years ago
- An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model☆74Updated 4 years ago
- A rule-based aproach to explain the output of any machine learning model☆14Updated 10 months ago
- A regression solver for high dimensional penalized linear, quantile and logistic regression models'☆84Updated 4 months ago
- Generalized additive model with pairwise interactions☆63Updated 11 months ago
- GAMI-Net: Generalized Additive Models with Structured Interactions☆30Updated 2 years ago
- Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"☆43Updated 2 years ago
- ☆61Updated 3 months ago
- Compute SHAP values for your tree-based models using the TreeSHAP algorithm☆82Updated 6 months ago