Download nz.ac.waikato.cms.weka.thirdparty JAR files with all dependencies
distributedWekaBase from group nz.ac.waikato.cms.weka (version 1.0.15)
This package provides generic configuration class and distributed map/reduce style tasks for Weka
percentageErrorMetrics from group nz.ac.waikato.cms.weka (version 1.0.0)
Provides root mean square percentage error and mean absolute percentage error for evaluating regression schemes.
1 downloads
matrix-algorithms from group nz.ac.waikato.cms.adams (version 0.0.1)
Java library of 2-dimensional matrix algorithms.
timeseriesForecasting from group nz.ac.waikato.cms.weka (version 1.0.22)
Provides a time series forecasting environment for Weka. Includes a wrapper for Weka regression schemes that automates the process of creating lagged variables and date-derived periodic variables and provides the ability to do closed-loop forecasting. New evaluation routines are provided by a special evaluation module and graphing of predictions/forecasts are provided via the JFreeChart library. Includes both command-line and GUI user interfaces. Sample time series data can be found in ${WEKA_HOME}/packages/timeseriesForecasting/sample-data.
zendesk-java-client from group com.cloudbees.thirdparty (version 0.5.2)
Java client for the Zendesk API
Group: com.cloudbees.thirdparty Artifact: zendesk-java-client
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1 downloads
bestFirstTree from group nz.ac.waikato.cms.weka (version 1.0.4)
Class for building a best-first decision tree classifier. This class uses binary split for both nominal and numeric attributes. For missing values, the method of 'fractional' instances is used.
For more information, see:
Haijian Shi (2007). Best-first decision tree learning. Hamilton, NZ.
Jerome Friedman, Trevor Hastie, Robert Tibshirani (2000). Additive logistic regression : A statistical view of boosting. Annals of statistics. 28(2):337-407.
com.sun.tools.visualvm.host from group com.github.veithen.visualwas.thirdparty (version 2.1.0)
Group: com.github.veithen.visualwas.thirdparty Artifact: com.sun.tools.visualvm.host
There is no JAR file uploaded. A download is not possible! Please choose another version.
1 downloads
fcms-widgets from group com.github.waikato (version 0.0.13)
Small collection of useful Java widgets.
Group: com.github.waikato Artifact: fcms-widgets
There is no JAR file uploaded. A download is not possible! Please choose another version.
1 downloads
skinlf-theme-packs from group net.sf.squirrel-sql.thirdparty-non-maven (version 1.0.0)
Theme packs for the Java Skin Look and Feel assembled by Colin Bell from themes available
at http://www.studiotwentyeight.net.
Group: net.sf.squirrel-sql.thirdparty-non-maven Artifact: skinlf-theme-packs
There is no JAR file uploaded. A download is not possible! Please choose another version.
1 downloads
com.sun.tools.visualvm.jvm from group com.github.veithen.visualwas.thirdparty (version 3.0.0)
Group: com.github.veithen.visualwas.thirdparty Artifact: com.sun.tools.visualvm.jvm
There is no JAR file uploaded. A download is not possible! Please choose another version.
1 downloads
bayesianLogisticRegression from group nz.ac.waikato.cms.weka (version 1.0.4)
Implements Bayesian Logistic Regression for both Gaussian and Laplace Priors. For more information, see Alexander Genkin, David D. Lewis, David Madigan (2004). Large-scale bayesian logistic regression for text categorization.
Group: nz.ac.waikato.cms.weka Artifact: bayesianLogisticRegression
There is no JAR file uploaded. A download is not possible! Please choose another version.
1 downloads
LibSVM from group nz.ac.waikato.cms.weka (version 1.0.7)
A wrapper class for the libsvm tools (the libsvm classes, typically the jar file, need to be in the classpath to use this classifier). LibSVM runs faster than SMO since it uses LibSVM to build the SVM classifier. LibSVM allows users to experiment with One-class SVM, Regressing SVM, and nu-SVM supported by LibSVM tool. LibSVM reports many useful statistics about LibSVM classifier (e.g., confusion matrix,precision, recall, ROC score, etc.)
1 downloads
hbase-shaded-netty from group org.apache.hbase.thirdparty (version 2.2.0)
Pulls down netty.io, relocates nd then makes a fat new jar with them all in it.
Group: org.apache.hbase.thirdparty Artifact: hbase-shaded-netty
There is no JAR file uploaded. A download is not possible! Please choose another version.
1 downloads
ridor from group nz.ac.waikato.cms.weka (version 1.0.2)
An implementation of a RIpple-DOwn Rule learner.
It generates a default rule first and then the exceptions for the default rule with the least (weighted) error rate. Then it generates the "best" exceptions for each exception and iterates until pure. Thus it performs a tree-like expansion of exceptions.The exceptions are a set of rules that predict classes other than the default. IREP is used to generate the exceptions.
For more information about Ripple-Down Rules, see:
Brian R. Gaines, Paul Compton (1995). Induction of Ripple-Down Rules Applied to Modeling Large Databases. J. Intell. Inf. Syst. 5(3):211-228.
discriminantAnalysis from group nz.ac.waikato.cms.weka (version 1.0.1)
Currently only contains Fisher's Linear Discriminant Analysis.
1 downloads
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