License |
License |
---|---|
Categories |
CategoriesWeka Business Logic Libraries Machine Learning |
GroupId | GroupIdnz.ac.waikato.cms.weka |
ArtifactId | ArtifactIdphmm4weka |
Last Version | Last Version1.1.3 |
Release Date | Release Date |
Type | Typejar |
Description |
Descriptionphmm4weka
This Java software implements Profile Hidden Markov Models (PHMMs) for protein classification for the WEKA workbench. Standard PHMMs and newly introduced binary PHMMs are used. In addition the software allows propositionalisation of PHMMs.
|
Project URL |
Project URL |
Project Organization |
Project Organization |
Filename | Size |
---|---|
phmm4weka-1.1.3.pom | |
phmm4weka-1.1.3.jar | 159 KB |
phmm4weka-1.1.3-sources.jar | 127 KB |
phmm4weka-1.1.3-javadoc.jar | 416 KB |
Browse |
<!-- https://jarcasting.com/artifacts/nz.ac.waikato.cms.weka/phmm4weka/ -->
<dependency>
<groupId>nz.ac.waikato.cms.weka</groupId>
<artifactId>phmm4weka</artifactId>
<version>1.1.3</version>
</dependency>
// https://jarcasting.com/artifacts/nz.ac.waikato.cms.weka/phmm4weka/
implementation 'nz.ac.waikato.cms.weka:phmm4weka:1.1.3'
// https://jarcasting.com/artifacts/nz.ac.waikato.cms.weka/phmm4weka/
implementation ("nz.ac.waikato.cms.weka:phmm4weka:1.1.3")
'nz.ac.waikato.cms.weka:phmm4weka:jar:1.1.3'
<dependency org="nz.ac.waikato.cms.weka" name="phmm4weka" rev="1.1.3">
<artifact name="phmm4weka" type="jar" />
</dependency>
@Grapes(
@Grab(group='nz.ac.waikato.cms.weka', module='phmm4weka', version='1.1.3')
)
libraryDependencies += "nz.ac.waikato.cms.weka" % "phmm4weka" % "1.1.3"
[nz.ac.waikato.cms.weka/phmm4weka "1.1.3"]
Group / Artifact | Type | Version |
---|---|---|
nz.ac.waikato.cms.weka : weka-dev | jar | [3.7.5,) |
Group / Artifact | Type | Version |
---|---|---|
nz.ac.waikato.cms.weka : weka-dev | test-jar | [3.7.5,) |