Download nz.ac.waikato.cms.weka JAR files with all dependencies

wekaPython from group nz.ac.waikato.cms.weka (version 1.0.18)

Integration with CPython for Weka. Python version 2.7.x or higher is required. Also requires the following packages to be installed in python: numpy, pandas, matplotlib and scikit-learn. This package provides a wrapper classifier and clusterer that, between them, cover 60+ scikit-learn algorithms. It also provides a general scripting step for the Knowlege Flow along with scripting plugin environments for the Explorer and Knowledge Flow.

Group: nz.ac.waikato.cms.weka Artifact: wekaPython
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Artifact wekaPython
Group nz.ac.waikato.cms.weka
Version 1.0.18
Last update 25. November 2022
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/wekaPython
License GNU General Public License 3
Dependencies amount 6
Dependencies weka-dev, jsyntaxpane, jackson-databind, jackson-module-parameter-names, commons-codec, commons-io,
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tiny-weka from group nz.ac.waikato.cms.weka (version 3.9.15955)

The Waikato Environment for Knowledge Analysis (WEKA), a machine learning workbench. This artifact represents the bare API of the developer version, with no package manager, PMML, XML or user interface. It is aimed at commercial applications that license some of WEKA's algorithms.

Group: nz.ac.waikato.cms.weka Artifact: tiny-weka
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Artifact tiny-weka
Group nz.ac.waikato.cms.weka
Version 3.9.15955
Last update 03. March 2022
Organization University of Waikato, Hamilton, NZ
URL http://www.cs.waikato.ac.nz/ml/weka/
License MIT
Dependencies amount 1
Dependencies java-cup-runtime,
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weka-dev from group nz.ac.waikato.cms.weka (version 3.9.6)

The Waikato Environment for Knowledge Analysis (WEKA), a machine learning workbench. This version represents the developer version, the "bleeding edge" of development, you could say. New functionality gets added to this version.

Group: nz.ac.waikato.cms.weka Artifact: weka-dev
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274 downloads

Artifact weka-dev
Group nz.ac.waikato.cms.weka
Version 3.9.6
Last update 27. January 2022
Organization University of Waikato, Hamilton, NZ
URL http://www.cs.waikato.ac.nz/ml/weka/
License GNU General Public License 3
Dependencies amount 11
Dependencies java-cup, java-cup-runtime, bounce, mtj, arpack_combined_all, netlib-java, jfilechooser-bookmarks, istack-commons-runtime, jakarta.activation-api, jakarta.xml.bind-api, jaxb-runtime,
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weka-stable from group nz.ac.waikato.cms.weka (version 3.8.6)

The Waikato Environment for Knowledge Analysis (WEKA), a machine learning workbench. This is the stable version. Apart from bugfixes, this version does not receive any other breaking updates.

Group: nz.ac.waikato.cms.weka Artifact: weka-stable
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2151 downloads

Artifact weka-stable
Group nz.ac.waikato.cms.weka
Version 3.8.6
Last update 27. January 2022
Organization University of Waikato, Hamilton, NZ
URL http://www.cs.waikato.ac.nz/ml/weka/
License GNU General Public License 3
Dependencies amount 11
Dependencies java-cup, java-cup-runtime, bounce, mtj, arpack_combined_all, netlib-java, jfilechooser-bookmarks, istack-commons-runtime, jakarta.activation-api, jakarta.xml.bind-api, jaxb-runtime,
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hotSpot from group nz.ac.waikato.cms.weka (version 1.0.14)

HotSpot learns a set of rules (displayed in a tree-like structure) that maximize/minimize a target variable/value of interest. With a nominal target, one might want to look for segments of the data where there is a high probability of a minority value occuring (given the constraint of a minimum support). For a numeric target, one might be interested in finding segments where this is higher on average than in the whole data set. For example, in a health insurance scenario, find which health insurance groups are at the highest risk (have the highest claim ratio), or, which groups have the highest average insurance payout.

Group: nz.ac.waikato.cms.weka Artifact: hotSpot
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447 downloads

Artifact hotSpot
Group nz.ac.waikato.cms.weka
Version 1.0.14
Last update 09. August 2021
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/hotSpot
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
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WekaExcel from group nz.ac.waikato.cms.weka (version 1.0.8)

WekaExcel adds support to directory read from and write to spreadsheets in Microsoft Excel 97-2007 format. It uses Apache POI (http://poi.apache.org/), specifically POI-HSSF and POI-XSSF (http://poi.apache.org/spreadsheet/), in order to read/write Excel spreadsheets.

Group: nz.ac.waikato.cms.weka Artifact: WekaExcel
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7 downloads

Artifact WekaExcel
Group nz.ac.waikato.cms.weka
Version 1.0.8
Last update 14. January 2021
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/WekaExcel
License GNU General Public License 3
Dependencies amount 3
Dependencies weka-dev, poi, poi-ooxml,
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optics_dbScan from group nz.ac.waikato.cms.weka (version 1.0.6)

The OPTICS and DBScan clustering algorithms. Martin Ester, Hans-Peter Kriegel, Joerg Sander, Xiaowei Xu: A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise. In: Second International Conference on Knowledge Discovery and Data Mining, 226-231, 1996; Mihael Ankerst, Markus M. Breunig, Hans-Peter Kriegel, Joerg Sander: OPTICS: Ordering Points To Identify the Clustering Structure. In: ACM SIGMOD International Conference on Management of Data, 49-60, 1999.

Group: nz.ac.waikato.cms.weka Artifact: optics_dbScan
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5 downloads

Artifact optics_dbScan
Group nz.ac.waikato.cms.weka
Version 1.0.6
Last update 16. December 2019
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/optics_dbScan
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
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elasticNet from group nz.ac.waikato.cms.weka (version 1.0.1)

An implementation of the elastic net method for linear regression

Group: nz.ac.waikato.cms.weka Artifact: elasticNet
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Artifact elasticNet
Group nz.ac.waikato.cms.weka
Version 1.0.1
Last update 02. December 2019
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/elasticNet
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
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javaFXScatter3D from group nz.ac.waikato.cms.weka (version 1.0.0)

A visualization component for displaying a 3D scatter plot of the data using Java 3D. Requires Java 3D to be installed. This version adds built-in sampling controls to the GUI. The default sampling percentage is set so that a maximum of 5000 instances are plotted. The user can adjust this higher or lower to suit their available processing speed and memory.

Group: nz.ac.waikato.cms.weka Artifact: javaFXScatter3D
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Artifact javaFXScatter3D
Group nz.ac.waikato.cms.weka
Version 1.0.0
Last update 31. October 2019
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/javaFXScatter3D
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
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timeseriesForecasting from group nz.ac.waikato.cms.weka (version 1.1.27)

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.

Group: nz.ac.waikato.cms.weka Artifact: timeseriesForecasting
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118 downloads

Artifact timeseriesForecasting
Group nz.ac.waikato.cms.weka
Version 1.1.27
Last update 24. October 2019
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/timeseriesForecasting
License GNU General Public License 3
Dependencies amount 3
Dependencies weka-dev, jfreechart, commons-codec,
There are maybe transitive dependencies!

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