de.cit-ec.tcs.alignment:learning 2.1.0

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"

GroupId	de.cit-ec.tcs.alignment
ArtifactId	learning
Version	2.1.0
Type	jar

Download learning 2.1.0

Filename	Size
learning-2.1.0.pom
learning-2.1.0.jar	22 KB
learning-2.1.0-sources.jar	15 KB
learning-2.1.0-javadoc.jar	88 KB

Apache Maven

<!-- https://jarcasting.com/artifacts/de.cit-ec.tcs.alignment/learning/ -->
<dependency>
    <groupId>de.cit-ec.tcs.alignment</groupId>
    <artifactId>learning</artifactId>
    <version>2.1.0</version>
</dependency>

Gradle Groovy

// https://jarcasting.com/artifacts/de.cit-ec.tcs.alignment/learning/
implementation 'de.cit-ec.tcs.alignment:learning:2.1.0'

Gradle Kotlin

// https://jarcasting.com/artifacts/de.cit-ec.tcs.alignment/learning/
implementation ("de.cit-ec.tcs.alignment:learning:2.1.0")

Apache Buildr

'de.cit-ec.tcs.alignment:learning:jar:2.1.0'

Apache Ivy

<dependency org="de.cit-ec.tcs.alignment" name="learning" rev="2.1.0">
  <artifact name="learning" type="jar" />
</dependency>

Groovy Grape

@Grapes(
@Grab(group='de.cit-ec.tcs.alignment', module='learning', version='2.1.0')
)

Scala SBT

libraryDependencies += "de.cit-ec.tcs.alignment" % "learning" % "2.1.0"

Leiningen

[de.cit-ec.tcs.alignment/learning "2.1.0"]