53 packages returned for Tags:"classification"

Provides learning algorithms and models for DecisionTree regression and classification.

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

Provides classification, regression, impurity and ranking metrics.

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

Provides ensemble learning for regression and classification.

Provides learning algorithms and models for GradientBoost regression and classification.

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

Get list of common stop words in various languages in dotnet

Provides learning algorithms and models for neural net regression and classification.

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

Provides learning algorithms and models for XGBoost regression and classification.

.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

Gets ngrams and cleans text.

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.

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

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

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

This tool which utilizes the raw test scores determined by performing the exam to electronically score and classify a spinal cord injury using the ISNCSCI (Revised 2011) scoring rules.

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