46 packages returned for Tags:"classification"

A client library that can be used to connect to Semaphore services from Microsoft .Net framework applications

Provides learning algorithms and models for DecisionTree regression and classification.

Provides classification, regression, impurity and ranking metrics.

A simple implementation of a naive Bayesian classifier for textual data.

.NET Standard library for classifying pornographic images, ported from Yahoo's open NSFW. This library uses libjpeg-turbo because jpeg decoding remains a major bottleneck to most operations. The license for libjpeg-turbo can be found... More information

Provides learning algorithms and models for RandomForest and ExtraTrees regression and classification.

Provides learning algorithms and models for GradientBoost regression and classification.

Provides ensemble learning for regression and classification.

Web Business Intelligence library of imbVeles Framework. Currently supports Web Site Classification using different Semantic Similarity and TF-IDF computation, kNN, Neural Networks, mSVM and Naive Bayes

Provides learning algorithms and models for AdaBoost regression and classification.

LibSVMsharp is a simple and easy-to-use C# wrapper for Support Vector Machines. This library uses LibSVM version 3.23 with x64 support, released on 15th of July in 2018. For more information: https://github.com/ccerhan/LibSVMsharp

Linear regression classification

LibSVMsharp is a simple and easy-to-use C# wrapper for Support Vector Machines. It uses the latest LibSVM Version 3.21 which released on December 14, 2015.

Provides learning algorithms and models for XGBoost regression and classification.

Process, transforms, filters and handle audio signals for machine learning and statistical applications. This package is part of the Accord.NET Framework.

A liblinear and libsvm wrapper for .NET written in C++/CLI for maximum performance.

A liblinear wrapper for .NET written in C++/CLI for maximum performance.

A liblinear and libsvm wrapper for .NET written in C++/CLI for maximum performance.

A liblinear and libsvm wrapper for .NET written in C++/CLI for maximum performance.

A liblinear and libsvm wrapper for .NET written in C++/CLI for maximum performance.