OSDT
Decision Tree Accelerator
A Python implementation of an algorithm for constructing decision trees with regularization and various bounding functions to accelerate the search process.
Optimal Sparse Decision Trees
100 stars
6 watching
11 forks
Language: Python
last commit: over 1 year ago
Linked from 2 awesome lists
accelerateacceleration-modelalgorithmalgorithm-optimizationdata-miningdata-scienceinterpretable-mlmachine-learningml-systemmlsysneuripspythonpython3
Related projects:
Repository | Description | Stars |
---|---|---|
sjia1/odt-with-noisy-outcomes | An implementation of an optimal decision tree algorithm with noisy outcomes, specifically tailored to simulate real-world decision-making under uncertainty | 0 |
florentavellaneda/inferdt | This C++ project provides an implementation of decision tree algorithms for classification tasks | 7 |
aia-uclouvain/pydl8.5 | An algorithm for inferring optimal binary decision trees in C++ and wrapped by a Python interface | 61 |
serengil/chefboost | A Python library providing a lightweight framework for building decision trees with categorical feature support | 460 |
doubleplusplus/incremental_decision_tree-cart-random_forest | An implementation of incremental decision tree algorithms and ensemble methods for efficient machine learning on streaming data | 100 |
jiangoforit/yellowfin_pytorch | An optimizer that automatically tunes momentum and learning rate using local quadratic approximation. | 287 |
pzuh/decisiontree | An implementation of a binary decision tree using ActionScript 3.0 for AI bot/agent in video games. | 3 |
springdaisy/gbdt | An implementation of Gradient Boosted Decision Trees with sparse output for high-dimensional data | 0 |
bensadeghi/decisiontree.jl | A Julia package implementing popular machine learning algorithms | 8 |
kaurao/hddt | An R implementation of Hellinger distance decision tree algorithm. | 10 |
sgrodriguez/ddt | A Go-based decision tree library allowing custom rule-based decision making | 37 |
igrigorik/decisiontree | An implementation of the ID3 algorithm for building decision trees | 1,439 |
rahulkidambi/accsgd | An implementation of the Accelerated SGD algorithm in PyTorch | 215 |
fanny-yang/earlystoppingrkhs | Code for analyzing early stopping in kernel boosting algorithms | 0 |
greenfish77/gaenari | A C++ library implementing incremental decision tree learning with support for concept drift and online learning to improve model accuracy over time. | 25 |