Install weka - Intranet UTCNusers.utcluj.ro/~visoft/ml/install_weka.pdf · Weka is a collection of...

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© Catalysts GmbH Cristian Vicas 2015.05.03 Go to http://www.cs.waikato.ac. nz/ml/weka/downloading.html Go to Download section Scroll to developer section (weka 3.7.x) Install weka 13

Transcript of Install weka - Intranet UTCNusers.utcluj.ro/~visoft/ml/install_weka.pdf · Weka is a collection of...

Page 1: Install weka - Intranet UTCNusers.utcluj.ro/~visoft/ml/install_weka.pdf · Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be

© Catalysts GmbH Cristian Vicas 2015.05.03

Go to http://www.cs.waikato.ac.nz/ml/weka/downloading.html

Go to Download section

Scroll to developer section (weka 3.7.x)

Install weka

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Page 2: Install weka - Intranet UTCNusers.utcluj.ro/~visoft/ml/install_weka.pdf · Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be

© Catalysts GmbH Cristian Vicas 2015.05.03

Download your installer (w/o java, for win/linux, etc)

[weka-3-7-12-x64.exe for me]

Install it. Search for RunWeka.ini and modify maxheap=4G

Launch Weka GUI Chooser (start menu or script file)

Go to Tools->Package Manager

Install weka

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Page 3: Install weka - Intranet UTCNusers.utcluj.ro/~visoft/ml/install_weka.pdf · Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be

© Catalysts GmbH Cristian Vicas 2015.05.03

Make sure the following packages are installed:

LibSVM, J48Consolidated

Install weka

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Page 4: Install weka - Intranet UTCNusers.utcluj.ro/~visoft/ml/install_weka.pdf · Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be

© Catalysts GmbH Cristian Vicas 2015.05.03

Launch Explorer

Load Iris.arff

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Install weka

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Click Classify tab

Select Functions->LibSVM

Leave the rest of the options to default

Click Start

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Install weka

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You should see some results

Repeat the Choose/Start steps for the following algorithms:

● Functions -> Simple Logistic● Trees -> J48 ● Trees -> Random Forest

If you see results for each classifier than the weka setup is done

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Install weka


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