ohwwlejspbfotbplistscmswaikatoacnz send wekalist mailing list submissions iuxxdkqklistscmswaikatoacnz subscribe unsubscribe via world wide web visit httpslistscmswaikatoacnzmailmanlistinfowekalist via email send message subject body help ohwwlejspbfotbplistscmswaikatoacnz reach person managing list pobypuhshvhzjlistscmswaikatoacnz replying please edit subject line specific contents wekalist digest todays topics 1 text tokenization peter reutemann 2 outputting individual classifications without supplying trainingtest set peter reutemann 3 memory independent algorithms carmelo saffioti 4 get coefficients logistic peter schüffler 5 get coefficients logistic peter reutemann 6 memory independent algorithms peter reutemann 7 weka apache maven janstey 8 memory independent algorithms mark hall 9 text tokenization nicholas walton 10 compare tuple fastvector m_alltherules nattapon harnsamut dlnirllccswaikatoacnz sat apr 26 155001 2008 message 1 date mon 18 feb 2008 205427 1300 nzdt peter reutemann subject wekalist text tokenization weka machine learning workbench list messageid 5381992588891480538199258savboaufwebmailscmswaikatoacnz contenttype textplaincharsetiso88591 anyone help text tokenizationi mphill student reserach text miningi need beginningmy master want clasification text paragrph proceed nextplease explain method software exists thati great confuion tokenizers found following package developer version wekacoretokenizers information different tokenizers see corresponding javadoc wan na text classification general look text categorization weka wiki article httpwekasourceforgenetwikiindexphptext_categorization_with_weka hth cheers peter peter reutemann dept computer science university waikato nz httpwwwcswaikatoacnzfracpete ph 64 7 8585174 dlnirllccswaikatoacnz sat apr 26 155001 2008 message 2 date mon 18 feb 2008 214458 1300 nzdt peter reutemann subject wekalist outputting individual classifications without supplying trainingtest set weka machine learning workbench list messageid 5609835179325890560983517rjofivqhwebmailscmswaikatoacnz contenttype textplaincharsetiso88591 hello using naive bayes bayesnet classifiers crossvalidation data set read get instance specific predictions test set must provided easy way use crossvalidation also get classification predictions specific instances data set explorer output predictions crossvalidation well open options dialog check output predictions following applies developer version order track instances better use id attribute see faq use id attributes link faqs weka homepage case youre using id attribute also add index id attribute output like commandline p option field output additional attributes also create java class output exactly want see following wiki articles information httpwekasourceforgenetwikiindexphpgenerating_crossvalidation_folds_28java_approach29 httpwekasourceforgenetwikiindexphpuse_weka_in_your_java_code hth cheers peter peter reutemann dept computer science university waikato nz httpwwwcswaikatoacnzfracpete ph 64 7 8585174 yruyieliberoit sat apr 26 155001 2008 message 3 date mon 18 feb 2008 105755 0100 carmelo saffioti subject wekalist memory independent algorithms weka machine learning workbench list messageid 00e801c87214bc496c606e0000c0carmelo contenttype textplain charsetiso88591 way using incremental schemes explorer possible command line java application thanks carmelo im working huge datasets ive got often problems memory required huge memory work datasets possible use memory independent algorithms weka saw data mining suites make model training directly data read dataset incremental schemes weka check javadoc wekaclassifiersupdateableclassifier lists algorithms implementing interface hth cheers peter yecrhvkkmpisbmpgde sat apr 26 155001 2008 message 4 date mon 18 feb 2008 125410 0100 peter schüffler subject wekalist get coefficients logistic iuxxdkqklistscmswaikatoacnz messageid 47b971e26090802mpisbmpgde contenttype textplain charsetiso88591 formatflowed hi function gives back calculated coefficients logistic run logistic logisticbuildclassifierinstances data output string logistictostring results coefficients listed function gives directly perhaps double thank peter dlnirllcwaikatoacnz sat apr 26 155001 2008 message 5 date tue 19 feb 2008 083525 1300 peter reutemann subject wekalist get coefficients logistic weka machine learning workbench list messageid 47b9ddfd6000608waikatoacnz contenttype textplain charsetiso88591 formatflowed function gives back calculated coefficients logistic run logistic logisticbuildclassifierinstances data output string logistictostring results coefficients listed function gives directly perhaps double implement get method member variable m_par order retrieve coefficients hth cheers peter peter reutemann dept computer science university waikato nz httpwwwcswaikatoacnzfracpete 64 7 8384466 ext 5174 wed 06 aug 2008 201839 0500 wekalist digest vol 60 issue 26