pydl8.5
Decision tree learner
An algorithm for inferring optimal binary decision trees in C++ and wrapped by a Python interface
An algorithm for learning optimal decision trees, with Python interface
62 stars
7 watching
17 forks
Language: C++
last commit: over 2 years ago
Linked from 1 awesome list
benedekrozemberczki/awesome-decision-tree-papersRelated projects:
| Repository | Description | Stars |
|---|---|---|
 florentavellaneda/inferdt | This C++ project provides an implementation of decision tree algorithms for classification tasks | 7 |
 bensadeghi/decisiontree.jl | A Julia package implementing popular machine learning algorithms | 8 |
 pzuh/decisiontree | An implementation of a binary decision tree using ActionScript 3.0 for AI bot/agent in video games. | 3 |
 serengil/chefboost | A Python library providing a lightweight framework for building decision trees with categorical feature support | 463 |
 xiyanghu/osdt | A Python implementation of an algorithm for constructing decision trees with regularization and various bounding functions to accelerate the search process. | 101 |
 greenfish77/gaenari | A C++ library implementing incremental decision tree learning with support for concept drift and online learning to improve model accuracy over time. | 26 |
 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 |
 igrigorik/decisiontree | An implementation of the ID3 algorithm for building decision trees | 1,438 |
 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 |
 johnstonskj/rml-decisiontrees | An implementation of decision trees for classification in Racket machine learning. | 4 |
 abhik/pebl | A Python library and command line application for learning Bayesian network structures from observational data. | 104 |
 camdavidsonpilon/decision-weights | An analysis project exploring human decision-making under Prospect Theory using machine learning and natural language data from Mechanical Turkers. | 33 |
 guanghelee/iclr20-locally-constant-nets | Develops decision trees from derivatives of ReLU networks to improve model interpretability and robustness | 21 |
 vanbantruong/faht | A Java implementation of a fairness-aware decision tree classifier for online stream-based classification | 8 |
 tmadl/sklearn-expertsys | A scikit-learn wrapper for interpretable classifiers based on decision rules | 489 |