Jar examples for l:learning
This module is a custom implementation of the Large Margin Nearest Neighbor classification scheme of Weinberger, Saul, et al. (2009). It contains an implementation of the k-nearest neighbor and LMNN classifier as well as (most importantly) gradient calculation schemes on the LMNN cost function given a sequential data set and a user-choice of alignment algorithm. This enables users to learn parameters of the alignment distance in question using a gradient descent on the LMNN cost function. More information on this approach can be found in the Masters Thesis "Adaptive Affine Sequence Alignment Using Algebraic Dynamic Programming"
You can download jar file learning 0.24.1 in this page.
The GNU Affero General Public License, Version 3
You can use the following script to add learning-0.24.1.jar to your project.
<dependency> <groupId>org.boofcv</groupId> <artifactId>learning</artifactId> <version>0.24.1</version> </dependency>
compile group: 'org.boofcv', name: 'learning', version: '0.24.1'
libraryDependencies += "org.boofcv" % "learning" % "0.24.1"
<dependency org="org.boofcv" name="learning" rev="0.24.1"/>
@Grapes(@Grab(group='org.boofcv', module='learning', version='0.24.1'))
'org.boofcv:learning:jar:0.24.1'
Click the following link to download the jar file.
learning-0.24.1-javadoc.jar