sato9hara / defragTreesLinks
Python code for tree ensemble interpretation
☆86Updated 4 years ago
Alternatives and similar repositories for defragTrees
Users that are interested in defragTrees are comparing it to the libraries listed below
Sorting:
- Python module for Barnes-Hut implementation of t-SNE (Cython)☆114Updated 7 years ago
- Library for machine learning stacking generalization.☆117Updated 6 years ago
- R script for Otto Group Production Classification on Kaggle☆30Updated 9 years ago
- Python Implementation of Feature Extraction with K-Nearest Neighbor☆66Updated 2 years ago
- ☆30Updated 9 years ago
- Stochastic Dummy Boosting☆25Updated 9 years ago
- Extension of the awesome XGBoost to linear models at the leaves☆82Updated 6 years ago
- scikit-learn like interface to chainer☆22Updated 9 years ago
- Experimental Gradient Boosting Machines in Python with numba.☆185Updated 6 years ago
- Python implementation of stacked generalization classifier. Plays nice with sklearn.☆71Updated 9 years ago
- Creating a better validation set when test examples differ from training examples☆101Updated 9 years ago
- Scikit-learn compatible implementations of the Random Rotation Ensemble idea of (Blaser & Fryzlewicz, 2016)☆43Updated 9 years ago
- [DEPRECATED] An innovative technique that constructs an ensemble of decision trees and converts this ensemble into a single, interpretab…☆79Updated 4 years ago
- Scikit-learn API toy wrapper for Regularized Greedy Forests☆44Updated 9 years ago
- A library for factorization machines and polynomial networks for classification and regression in Python.☆246Updated 5 years ago
- ☆98Updated 7 years ago
- Implementation of Frequent-Directions algorithm for efficient matrix sketching [E. Liberty, SIGKDD2013]☆27Updated 10 years ago
- Bayesian Logistic Regression using Laplace approximations to the posterior.☆48Updated 8 years ago
- Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one…☆382Updated 3 years ago
- InfiniteBoost: building infinite ensembles with gradient descent☆183Updated 7 years ago
- A stacked generalization framework. Built on top of scikit learn☆57Updated 2 years ago
- An experimental Python package that reimplements AutoGBT using LightGBM and Optuna.☆82Updated 6 years ago
- a feature engineering wrapper for sklearn☆52Updated 5 years ago
- An implementation of the minimum description length principal expert binning algorithm by Usama Fayyad☆104Updated 2 years ago
- Gradient Boosting With Piece-Wise Linear Trees☆154Updated last year
- Just some of my kaggle scripts☆87Updated 10 years ago
- a python implementation of Parametric t-SNE in Keras☆60Updated 7 years ago
- Some experiments into explaining complex black box ensemble predictions.☆74Updated 5 years ago
- lightgbmのfeature-transform(特徴量の非線形化)をすることで、80,000を超える特徴量を線形回帰でも表現できることを示します☆11Updated 7 years ago
- bayesian bootstrapping in python☆121Updated 3 years ago