sagyome / forest_based_treeLinks
The code implements a novel method for converting random forest into a single decision tree
☆11Updated 6 years ago
Alternatives and similar repositories for forest_based_tree
Users that are interested in forest_based_tree are comparing it to the libraries listed below
Sorting:
- Implementation of the Rotation Forest by Rodriques et al. 2006☆28Updated 2 years ago
- Versatile Nonlinear Feature Selection Algorithm for High-dimensional Data☆192Updated 4 years ago
- Application of the LIME algorithm by Marco Tulio Ribeiro, Sameer Singh, Carlos Guestrin to the domain of time series classification☆98Updated 2 years ago
- A scikit-learn compatible implementation of hyperband☆77Updated 6 years ago
- Extended Complexity Library in R☆58Updated 5 years ago
- ☆16Updated 7 years ago
- Python library for Ceteris Paribus Plots (What-if plots)☆28Updated 4 years ago
- A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …☆63Updated 4 years ago
- Deep Feature Selection using Teacher Student Network☆44Updated 6 years ago
- Code and documentation for experiments in the TreeExplainer paper☆190Updated 6 years ago
- Python Accumulated Local Effects package☆170Updated 2 years ago
- Feature Selection for Clustering☆97Updated 7 years ago
- Surrogate Assisted Feature Extraction☆37Updated 4 years ago
- (Python, R) Cost-sensitive multiclass classification (Weighted-All-Pairs, Filter-Tree & others)☆49Updated 8 months ago
- Python package for missing-data imputation with deep learning☆156Updated last year
- Helpers for scikit learn☆16Updated 3 years ago
- Multi-target Random Forest implementation that can mix both classification and regression tasks☆27Updated 5 years ago
- ICML 2018: "Adversarial Time-to-Event Modeling"☆37Updated 7 years ago
- Seminar on Limitations of Interpretable Machine Learning Methods☆57Updated 5 years ago
- ☆33Updated 11 months ago
- Multiple imputation utilising denoising autoencoder for approximate Bayesian inference☆122Updated 5 years ago
- Python/R library for feature selection in neural nets. ("Feature selection using Stochastic Gates", ICML 2020)☆110Updated 3 years ago
- Data and code related to the paper "Probabilistic matrix factorization for automated machine learning", NIPS, 2018.☆40Updated 4 years ago
- The code of the experiments of the submitted paper "On the stability of Feature Selection" in Matlab, R and Python.☆17Updated 7 years ago
- A Python package for building Bayesian models with TensorFlow or PyTorch☆177Updated 3 years ago
- Python Meta-Feature Extractor package.☆139Updated 5 months ago
- A rule-based aproach to explain the output of any machine learning model☆15Updated last year
- Improved TabNet for TensorFlow☆53Updated 3 years ago
- A practical tool for Maximal Information Coefficient (MIC) analysis☆140Updated last year
- ☆16Updated this week