MathNet.Numerics 2.6.1
Math.NET Numerics is the numerical foundation of the Math.NET project, aiming to provide methods and algorithms for numerical computations in science, engineering and every day use. Numerics is the result of merging dnAnalytics with Math.NET Iridium and is intended to replace both. Also includes a portable build supporting .Net 4 and higher, SL5, WP8 and .NET for Windows Store apps.
Showing the top 20 packages that depend on MathNet.Numerics.
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Sharpkit.Learn
Machine learning library for .Net and Mono.
Currently has Linear Regression, Logistic Regression, Ridge Regression/Classifier, Svm classifier.
Initially it is port of popular Scikit-learn machine learning python library and has very close design.
Sharpkit.Learn is based on the state of the art algorithm implementations and uses liblinear, libsvm, Math.Net
etc. Various BLAS providers like MKL can be used to speed up the computation. Both dense and sparse matrices
are supported.
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52 |
BUG: Fix bug in ArrayStatistics.Variance on arrays longer than 46341 entries. GitHub Issue #137.
This package has no dependencies.