joshloyal / RotationForestLinks
Implementation of the Rotation Forest by Rodriques et al. 2006
☆28Updated last year
Alternatives and similar repositories for RotationForest
Users that are interested in RotationForest are comparing it to the libraries listed below
Sorting:
- Helpers for scikit learn☆16Updated 2 years ago
- Multi-target Random Forest implementation that can mix both classification and regression tasks☆26Updated 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 implementation of the minimum description length principal expert binning algorithm by Usama Fayyad☆104Updated 2 years ago
- (Python, R) Cost-sensitive multiclass classification (Weighted-All-Pairs, Filter-Tree & others)☆48Updated 3 months ago
- CostSensitiveClassification Library in Python☆206Updated 5 years ago
- Multiple imputation utilising denoising autoencoder for approximate Bayesian inference☆122Updated 5 years ago
- A scikit-learn compatible implementation of hyperband☆77Updated 5 years ago
- Machine Learning encoders for feature transformation & engineering: target encoder, weight of evidence, label encoder.☆23Updated 5 years ago
- Analysis of Categorical Encodings for dense Decision Trees☆41Updated 8 years ago
- This is the implementation of Sparse Projection Oblique Randomer Forest☆99Updated last year
- Supporting code for the paper "Finding Influential Training Samples for Gradient Boosted Decision Trees"☆68Updated last year
- Data and code related to the paper "Probabilistic matrix factorization for automated machine learning", NIPS, 2018.☆40Updated 3 years ago
- Data imputations library to preprocess datasets with missing data☆363Updated 3 years ago
- A Python package for fitting Quinlan's Cubist regression model☆50Updated last month
- stratx is a library for A Stratification Approach to Partial Dependence for Codependent Variables☆66Updated last year
- Python Accumulated Local Effects package☆169Updated 2 years ago
- An extension of CatBoost to probabilistic modelling☆147Updated last year
- This contains a number of IP[y]: Notebooks that hopefully give a light to areas of bayesian machine learning.☆34Updated 10 years ago
- ☆23Updated last year
- scikit-learn gradient-boosting-model interactions☆25Updated 2 years ago
- Hierarchical Time Series Forecasting using Prophet☆144Updated 4 years ago
- Feature Selection for Clustering☆96Updated 7 years ago
- A Python package for building Bayesian models with TensorFlow or PyTorch☆175Updated 3 years ago
- Random Forest or XGBoost? It is Time to Explore LCE☆67Updated 2 years ago
- Python package for missing-data imputation with deep learning☆155Updated 11 months ago
- A python implementation of the Rotation Forest algorithm per https://arxiv.org/abs/1809.06705.☆20Updated 5 years ago
- Python Meta-Feature Extractor package.☆133Updated last week
- scikit-learn-inspired time series☆200Updated last year
- Code and documentation for experiments in the TreeExplainer paper☆185Updated 5 years ago