matus uhlar fantomas ovvbefantomassk 20080208 014952 schrieb gene heskett maximum number files directory one feed salearn ham expect achieve normal speed vaguely recall feeding corpus another folder trouble year ago linuxusb list 600 1k messages finished hour time 100208 2131 michelle konzack wrote many programs including rm mv ls salearn limit commandline options arround 1200 1400 limit programs system limit much data passed arguments dont exit shell fails execute process note salearn exits automaticaly feed many messages salearn afaik doesnt count matus uhlar fantomas ovvbefantomassk httpwwwfantomassk warning wish receive email advertising address varovanie na tuto adresu chcem nedostavat akukolvek reklamnu postu linux safe turn computer linux teraz mozete pocitac bez obav zapnut dlnirllcwaikatoacnz sun feb 24 103036 2008 message 2 date fri 15 feb 2008 085627 1300 peter reutemann subject wekalist feature selection required weka machine learning workbench list messageid 47b49ceb9030707waikatoacnz contenttype textplain charset3diso88591 format3dflowed mean use filteredclassifier attributeselection filter preceding classification serialize resulting trained model use serialized model validation datasets long exactly format training dataset used means serialized classifier rerun attribute selection filter new data uses selection attributes learnt training stage filteredclassifiers uses filter initialized training phase subsequent evaluations classifyinstancesdistributionforinstance case normalization standardization values get normalizedstandardized way case attribute selection attributes get removed thats whole purpose filteredclassifier produce compatible data evaluationprediction another thing training test data always format thats one fundamental assumptions schemes weka cheers peter peter reutemann dept computer science university waikato nz httpwwwcswaikatoacnzfracpete 64 7 8384466 ext 5174 dlnirllcwaikatoacnz sun feb 24 103036 2008 message 3 date fri 15 feb 2008 085945 1300 peter reutemann subject wekalist use wekaclassifiersbayesnetsearchlocal weka machine learning workbench list messageid 47b49db11080100waikatoacnz contenttype textplain charset3dgb2312 bayesian classifer doc got help following local score based structure learning selected choosing one n wekaclassifiersbayesnetsearchlocal package however could get wekaclassifiersbayesnetsearchlocal workin g weka explorer pls tell make work ui mean could get local working weka explorer search algorithms listed eg used bayesnet classifier package wekaclassifiersbayes default one k2 package cheers peter peter reutemann dept computer science university waikato nz httpwwwcswaikatoacnzfracpete 64 7 8384466 ext 5174 dvzckbloncsuedu sun feb 24 103036 2008 message 4 date thu 14 feb 2008 163426 0500 est dvzckbloncsuedu subject wekalist knowledge flow iuxxdkqklistscmswaikatoacnz messageid 479381521453451203024866squirrelwebmailncsuedu contenttype textplaincharset3diso88591 would like load data arff file incrementally updateable classifier similar weka screenshot httpwd320pc2csmemphiseducogsciwikiknowledge_representation_in_weka use arff loader grays instance option cant connect using 357 link appears using older version icons different dvzckbloncsuedu sun feb 24 103036 2008 message 5 date thu 14 feb 2008 181020 0500 steve mckinney subject wekalist knowledge flow weka machine learning workbench list messageid 47b4ca5c9070905ncsuedu contenttype textplain charset3diso88591 format3dflowed able get working apparently connect instance arrow selecting arff file want load dvzckbloncsuedu wrote would like load data arff file incrementally updateable classifier similar weka screenshot httpwd320pc2csmemphiseducogsciwikiknowledge_representation_in_we ka use arff loader grays instance option cant connect using 357 link appears using older version icons different _______________________________________________ wekalist mailing list iuxxdkqklistscmswaikatoacnz httpslistscmswaikatoacnzmailmanlistinfowekalist ceuundjbnatureberkeleyedu sun feb 24 103036 2008 message 6 date thu 14 feb 2008 210921 0800 pst nick clinton subject wekalist inserting attribute weka machine learning workbench list messageid contenttype textplain charset3dusascii format3dflowed anyone tell would throw arrayindexoutofboundsexception 1 attribute 3d new attributemystring myinstancesinsertattributeata outnumattributes myinstancesinsertattributeata 0 double 3d 314 outinstanceisetvaluea help much appreciated thanks nick dlnirllcwaikatoacnz sun feb 24 103036 2008 message 7 date fri 15 feb 2008 191526 1300 peter reutemann subject wekalist inserting attribute weka machine learning workbench list messageid 47b52dfe4010009waikatoacnz contenttype textplain charset3diso88591 format3dflowed please guys hard post new messages instead replying old posts different threads anyone tell would throw arrayindexoutofboundsexception 1 attribute 3d new attributemystring myinstancesinsertattributeata outnumattributes myinstancesinsertattributeata 0 double 3d 314 outinstanceisetvaluea help much appreciated thanks insertattributeat creates copy attribute see javadoc inserting reason attribute isnt found youre trying insert ia value later outinstanceisetvaluea thats get arrayindexoob exception 1 use integer index instead attribute reference setting value via setvalue use instancesattributestring get reference new attribute make sure attribute names unique use subsequently hth cheers peter peter reutemann dept computer science university waikato nz httpwwwcswaikatoacnzfracpete 64 7 8384466 ext 5174 kylwi0776yahoocom sun feb 24 103036 2008 message 8 date fri 15 feb 2008 013452 0800 pst fatih akay subject wekalist discretize filter weka messageid 98817116184qmweb52810mailre2yahoocom contenttype textplain charset3diso88591 hello exact output discretize filter know counts th e number attributes whose values specific ranges kn ow determined new values attributes help greatly appreciated fatih better friend newshound knowitall yahoo mobile try next part html attachment scrubbed url httpslistscmswaikatoacnzpipermailwekalistattachments2008021 5b55fd989attachment0001html oqhikgrwzxwvgmailcom sun feb 24 103036 2008 message 9 date fri 15 feb 2008 110628 0100 roman hausner subject wekalist questions experimenter weka machine learning workbench list messageid 513439826510226251v439ua65ju22625f34jf82651umailgmailcom contenttype textplain charset3diso88591 wed feb 13 2008 913 pm peter reutemann wrote really experiment setup changes number columns change thats filebased output resumed use database results backend resume experiments add new datasetsclassifiers also handy experiment runs memory virtual machine dies restart weka memory run experiments havent finished yet thank valuable helpful answers indeed decided switch mysql always convert arff reading table explorer saving arff sure way seperate experiment results one database able achieve everything seems go results0 table automatically use different mysql database experiment want keep seperated 3 one shows summary ranking lot pairwise significance tests used tests bonferroni adjusted corrected shown paired ttest indicate bonferroni correction multiple significance tests different kind correction copypaste wekaexperimentpairedcorrectedttester javadoc behaves pairedttester uses corrected resampled ttest statistic information see claude nadeau yoshua bengio 2001 inference generalization error machine learning dug far little understanding statistics goes corrected ttest corrects underestimate variance one repeated cvs seems automatic bonferroni adjustment least nowhere mentioned weka 4 one uses db essentially data stored table arff file words would possible transfer experiment arff file table viceversa later time never done reckon databaseloaderdatabasesaver wekacoreconverters package converting db arff achieved loading data explorer db saving arff next part html attachment scrubbed url httpslistscmswaikatoacnzpipermailwekalistattachments2008021 5acfc4a84attachmenthtml _______________________________________________ wekalist mailing list iuxxdkqklistscmswaikatoacnz httpslistscmswaikatoacnzmailmanlistinfowekalist end wekalist digest vol 60 issue 22 wed 06 aug 2008 045449 0100 salearn ham ground rules