SVN

SVN

 

machine learningsupport vector machines (SVMs, also support vector networks) are supervised learning models with associated learning algorithms that analyze data and recognize patterns, used for classification and regression analysis. Given a set of training examples, each marked as belonging to one of two categories, an SVM training algorithm builds a model that assigns new examples into one category or the other, making it a non-probabilistic binary linear classifier. An SVM model is a representation of the examples as points in space, mapped so that the examples of the separate categories are divided by a clear gap that is as wide as possible. New examples are then mapped into that same space and predicted to belong to a category based on which side of the gap they fall on.

Apache™ Subversion®
“Enterprise-class centralized version control for the masses”
Subversion is an open source version control system
Directories are versioned
Copying, deleting, and renaming are versioned.
File locking.
Interactive conflict resolution.
Write-through proxy over WebDAV.
Repository read-only mirroring.
Standalone server option (svnserve).
Executable flag is preserved.
Symbolic links can be versioned.

About the Author