Download nz.ac.waikato.cms.weka.thirdparty JAR files with all dependencies
javax.activation from group com.jwebmp.thirdparty (version 0.68.0.1)
third-party-modules from group com.jwebmp.thirdparty (version 0.68.0.1)
The root module packager for the finalized or modules with no intention of moving to JPMS
Group: com.jwebmp.thirdparty Artifact: third-party-modules
There is no JAR file uploaded. A download is not possible! Please choose another version.
0 downloads
jwebmp-ua-detector from group com.jwebmp.thirdparty (version 0.68.0.1)
User Agent Detection Parent
Group: com.jwebmp.thirdparty Artifact: jwebmp-ua-detector
There is no JAR file uploaded. A download is not possible! Please choose another version.
0 downloads
vi-api from group net.java.dev.vcc.thirdparty (version 4.0.0-4)
This is a Java binding of the VMware Virtual Infrastructure SDK WSDL.
json from group com.jwebmp.thirdparty (version 0.68.0.1)
JSON is a light-weight, language independent, data interchange format.
See http://www.JSON.org/
The files in this package implement JSON encoders/decoders in Java.
It also includes the capability to convert between JSON and XML, HTTP
headers, Cookies, and CDL.
This is a reference implementation. There is a large number of JSON packages
in Java. Perhaps someday the Java community will standardize on one. Until
then, choose carefully.
The license includes this restriction: "The software shall be used for good,
not evil." If your conscience cannot live with that, then choose a different
package.
javax.inject from group com.jwebmp.thirdparty (version 0.68.0.1)
The javax.inject API
naiveBayesTree from group nz.ac.waikato.cms.weka (version 1.0.2)
Class for generating a decision tree with naive Bayes classifiers at the leaves.
For more information, see
Ron Kohavi: Scaling Up the Accuracy of Naive-Bayes Classifiers: A Decision-Tree Hybrid. In: Second International Conference on Knoledge Discovery and Data Mining, 202-207, 1996.
uadetector-resources from group com.jwebmp.thirdparty (version 0.68.0.1)
This package contains a verified version of the data file from http://user-agent-string.info. During the verification process the data are checked for ability to run against the current implementation. The goal is to provide frequently updated resources for detection of user agents without having to release a new implementation.
0 downloads
attributeSelectionSearchMethods from group nz.ac.waikato.cms.weka (version 1.0.7)
This package provides four search methods for attribute selection: ExhaustiveSearch, GeneticSearch, RandomSearch and RankSearch. See:
David E. Goldberg (1989). Genetic algorithms in search, optimization and machine learning. Addison-Wesley.
Mark Hall, Geoffrey Holmes (2003). Benchmarking attribute selection techniques for discrete class data mining. IEEE Transactions on Knowledge and Data Engineering. 15(6):1437-1447.
Group: nz.ac.waikato.cms.weka Artifact: attributeSelectionSearchMethods
Show documentation Show source
Show documentation Show source
0 downloads
aopalliance-core from group com.jwebmp.thirdparty (version 0.68.0.1)
WekaODF from group nz.ac.waikato.cms.weka (version 1.0.4)
WekaODF adds support to directory read from and write to spreadsheets in ODF (Open Document Format for Office Applications, ISO/IEC 26300:2006) format. ODF is used by the OpenOffice.org suite, for instance. WekaODF uses jOpenDocument (http://www.jOpenDocument.org, GPL) in order to read/write ODF spreadsheets.
jakarta.activation from group com.jwebmp.thirdparty (version 0.68.0.1)
scrooge-linter_2.10 from group co.actioniq.thirdparty.com.twitter (version 3.17.0-4232bc888d6b09f0bf41930956b39dd8f398d96f)
scrooge-linter
Group: co.actioniq.thirdparty.com.twitter Artifact: scrooge-linter_2.10
Show documentation Show source
Show documentation Show source
0 downloads
Artifact scrooge-linter_2.10
Group co.actioniq.thirdparty.com.twitter
Version 3.17.0-4232bc888d6b09f0bf41930956b39dd8f398d96f
Group co.actioniq.thirdparty.com.twitter
Version 3.17.0-4232bc888d6b09f0bf41930956b39dd8f398d96f
DilcaDistance from group nz.ac.waikato.cms.weka (version 1.0.1)
This package implements the parameter free version of the DILCA distance. This approach allows to learn value-to-value distances between each pair of values for each attribute of the dataset. The distance between two values is computed indirectly based on the their distribution w.r.t. a set of related attributes (the context) carefully chosen.
isotonicRegression from group nz.ac.waikato.cms.weka (version 1.0.2)
Learns an isotonic regression model. Picks the attribute that results in the lowest squared error. Missing values are not allowed. Can only deal with numeric attributes. Considers the monotonically increasing case as well as the monotonically decreasing case.
0 downloads
Page 18 from 19 (items total 277)
© 2015 - 2025 Weber Informatics LLC | Privacy Policy