Accord.NET Framework 3.3.0 freeware
... several methods for statistical analysis, such as Principal Component Analysis, Linear Discriminant Analysis, Partial Least Squares. ...
Author | Cesar Roberto de Souza |
Released | 2016-09-17 |
Filesize | 483.00 MB |
Downloads | 1237 |
OS | Windows XP, Windows Vista, Windows Vista x64, Windows 7, Windows 7 x64, Windows 8, Windows 8 x64, Windows 10, Windows 10 x64 |
Installation | Instal And Uninstall |
Keywords | .NET Framework, C# Framework, AForge.NET Framework, Framework, AForge.NET, .NET |
Users' rating (29 rating) |
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3.3.0 | Sep 17, 2016 | New Release | General: This will be last release that includes an executable installer. If you are still using the installer, please move to NuGet or use the framework compressed archive files. Imaging: Creating a new Accord.Imaging.Noncommercial assembly to hold non-commercial imaging methods; Adding Fast Guided Filter to Accord.Imaging.Noncommercial. MachineLearning: Fixing Binary Split's learn method to accept null weights; Updating Binary Split example to reflect the new API; Adding constructors to allow tree inducing algorithms to create a tree from scratch; Statistics: Fixing multiple issues with statistical analyses classes when they are used using the new classification/regression APIs; Statistical measures (Measures.cs) have been moved to the Accord.Math assembly, but have been kept under the Accord.Statistics namespace; Correcting L2-regularization in Logistic Regression. |
2.12.0 | Aug 8, 2014 | New Release | |
2.9.0 | Jul 16, 2013 | New Release | General: · Working on more source code examples for the documentation. Accord.Math: · Adding Levenshtein distance for strings. Accord.Imaging: · Updating BagOfVisualWords to be fully serializable. Accord.MachineLearning: · Adding K-dimensional trees (K-d trees); · Adding Mean-Shift clustering algorithm; · Adding support for weights in Gaussian Mixture Models; · Correcting the name of the K-Nearest Neighbors algorithm; · Improving K-Nearest Neighbors for double[] using a K-d tree; · Changing K-Nearest Neighbors generic argument to represent the · instance type rather than the type of the array of instances. Accord.Statistics: · Adding interfaces for density estimation kernels; · Adding Gaussian, Epanechnikov, Uniform density kernels; · Adding Bartlett's and Levene's tests for variances; · Adding hypothesis tests for comparing ROC curves; · Adding support for scatterplot generation directly from ROC curves; · Adding running Markov models and running Markov classifier filters; |