Java version of LIBLINEAR

Regularized Composite ReLU-ReHU Loss Minimization with Linear Computation and Linear Convergence

liblinear bindings for Go

LIBLINEAR理论与源码解读（已完结）

Regularized Composite ReLU-ReHU Loss Minimization with Linear Computation and Linear Convergence

LIBLINEAR bindings for Julia

Regularized Composite ReLU-ReHU Loss Minimization with Linear Computation and Linear Convergence

A Perl binding for LIBLINEAR, a library for classification/regression using linear SVM and logistic regression.

Rust language bindings for the LIBLINEAR C/C++ library

Wrapper on top of liblinear-tools

Rumale::SVM provides support vector machine algorithms of LIBSVM and LIBLINEAR with Rumale interface

An implementation of the NBSVM classifier for Weka

Graph Regularised Hashing code

Spark liblinear

No description provided.

A single file C++ header-only wrapper for LIBLINEAR library

A Go version of liblinear

.NET wrapper for LIBLINEAR written in C#

Solved tasks of "Machine Learning" course, contains implementations of main machine learning algorithms.

A spam detector using Linear Regression Model machine learning algorithm, using Java, ElasticSearch, LIblinear, Weka, SparseFormat, ARFF format, Linear Regression,

Grade: 15.2/20

Conan package for liblinear project

Liblinear-Ruby is Ruby interface of LIBLINEAR using SWIG. Now, this interface is supporting LIBLINEAR 2.30.

This is same problem which is solved in https://github.com/ashishyadav24092000/Detect_Parkinson_XGBOOSTCLASSIFIER project. But here we have used Logistic Regression instead of XGBClassifier to classify the Statuses as 0 or 1 i.e. Parkinson positive or negative. And clearly we can see that how our Accuracy suddenly dropped from 95% to 84% as we moved from XGBClassifier to Logistic Regression.

Support Vector Machine classification with Spark, using LIBLINEAR and MLlib

Java version of LIBLINEAR

Numo::Liblinear is a Ruby gem binding to the LIBLINEAR