#计算机科学#A collection of research papers on decision, classification and regression trees with implementations.
翻译 - 有关决策,分类和回归树及其实现的研究论文的集合。
Bayesian Additive Regression Trees For Python
#计算机科学#A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computa...
翻译 - 快速,可扩展,高性能的“决策树加速梯度”库,用于对Python,R,Java,C ++进行排名,分类,回归和其他机器学习任务。支持在CPU和GPU上进行计算。
Various projects in Linear Regression, Logistic Regression, k Nearest Neighbors, Decision Trees, Random Forests, SVM
Recursive Partitioning and Regression Trees
pure Go implementation of prediction part for GBRT (Gradient Boosting Regression Trees) models from popular frameworks
Decision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PCA, SVD, Gaussian Naive Bayes, Fitting Data to Gaus...
knn,kmeans,regression,tree
javascript implementation of logistic regression/c4.5 decision tree
Python implementation of CART regression tree and random forests
ML Models - Logistic Regression, Liner Regression, Random Forest, Decision Tree, KNN, SVM, Lasso Ridge Regression, Hypothesis testing
Logistic Regression | Naive Bayes | SVM | KNN | Random Forest | Decision Tree
My machine learning algortihms implementations. Currently decision tree, and linear/logistic regression.
Ytk-learn is a distributed machine learning library which implements most of popular machine learning algorithms(GBDT, GBRT, Mixture Logistic Regression, Gradient Boosting Soft Tree, Factorization Mac...
Counterfactual Regression
memcached 是一个分布式缓存系统
Tree Style Tab, Show tabs like a tree.
Visual/CSS regression testing with PhantomJS
翻译 - 使用PhantomJS进行Visual / CSS回归测试
I have used Multinomial Naive Bayes, Random Trees Embedding, Random Forest Regressor, Random Forest Classifier, Multinomial Logistic Regression, Linear Support Vector Classifier, Linear Regression, Ex...
Generalized Regression Neural Network for regression
Multivariable regression library in Go