Your build problem seems separate, right? The error indicates it is a permissions problem. I do not see that it has anything to do with the project.
This issue here looks like a bug. Of course, we can't go back in time and fix it in 0.5. But I can (and have) fixed it in HEAD. You should use HEAD if you need this change. Sean On Thu, Jun 30, 2011 at 3:03 PM, XiaoboGu <guxiaobo1...@gmail.com> wrote: > But since 0.5 is released, we can't change the source any more, I must go > with the latest trunk, which I can't build in my environment, can you help > with trunk building problem also please. > > > Regards, > > Xiaobo Gu > >> -----Original Message----- >> From: Sean Owen [mailto:sro...@gmail.com] >> Sent: Thursday, June 30, 2011 9:54 PM >> To: dev@mahout.apache.org >> Subject: Re: [jira] [Updated] (MAHOUT-696) Command line program for >> AdaptiveLogiscticRegression >> >> I think this is a bug since this class is read as a Writable, which >> means it needs a no-arg constructor, but it has none. I will just add >> one now. >> >> Sean >> >> On Thu, Jun 30, 2011 at 2:17 PM, XiaoboGu <guxiaobo1...@gmail.com> wrote: >> > The latest mahout-696.path can work with mahout-trunk rev1104229, which is >> > my >> development revision, but when patched with 0.5 release, the following error >> occur when run >> validateAdaptiveLogistic >> > >> > >> > Exception in thread "main" java.io.IOException: Can't create object >> > at >> org.apache.mahout.classifier.sgd.PolymorphicWritable.read(PolymorphicWritable.java:45) >> > at >> org.apache.mahout.classifier.sgd.OnlineLogisticRegression.readFields(OnlineLogisticRegre >> ssion.java:162) >> > at >> org.apache.mahout.classifier.sgd.CrossFoldLearner.readFields(CrossFoldLearner.java:317) >> > at >> org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression$Wrapper.readFields(Adaptive >> LogisticRegression.java:435) >> > at >> org.apache.mahout.classifier.sgd.PolymorphicWritable.read(PolymorphicWritable.java:51) >> > at org.apache.mahout.ep.State.readFields(State.java:297) >> > at >> org.apache.mahout.classifier.sgd.PolymorphicWritable.read(PolymorphicWritable.java:51) >> > at >> org.apache.mahout.ep.EvolutionaryProcess.readFields(EvolutionaryProcess.java:222) >> > at >> org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression.readFields(AdaptiveLogisticR >> egression.java:539) >> > at >> org.apache.mahout.classifier.sgd.AdaptiveLogisticModelParameters.readFields(AdaptiveLo >> gisticModelParameters.java:173) >> > at >> org.apache.mahout.classifier.sgd.AdaptiveLogisticModelParameters.loadFromStream(Adap >> tiveLogisticModelParameters.java:179) >> > at >> org.apache.mahout.classifier.sgd.AdaptiveLogisticModelParameters.loadFromFile(Adaptive >> LogisticModelParameters.java:186) >> > at >> org.apache.mahout.classifier.sgd.ValidateAdaptiveLogistic.main(ValidateAdaptiveLogistic.j >> ava:70) >> > Caused by: java.lang.InstantiationException: >> org.apache.mahout.classifier.sgd.ElasticBandPrior >> > at java.lang.Class.newInstance0(Class.java:340) >> > at java.lang.Class.newInstance(Class.java:308) >> > at >> org.apache.mahout.classifier.sgd.PolymorphicWritable.read(PolymorphicWritable.java:43) >> > ... 12 more >> > >> > >> > >> > >> >> -----Original Message----- >> >> From: Lance Norskog [mailto:goks...@gmail.com] >> >> Sent: Thursday, June 30, 2011 11:26 AM >> >> To: dev@mahout.apache.org >> >> Subject: Re: [jira] [Updated] (MAHOUT-696) Command line program for >> >> AdaptiveLogiscticRegression >> >> >> >> Thanks for this project, Xiaobo! I look forward to playing with it. >> >> >> >> Lance >> >> >> >> On Wed, Jun 29, 2011 at 8:21 PM, XiaoboGu (JIRA) <j...@apache.org> wrote: >> >> > >> >> > [ >> >> > https://issues.apache.org/jira/browse/MAHOUT-696?page=com.atlassian.jira.plu >> gin >> >> .system.issuetabpanels:all-tabpanel ] >> >> > >> >> > XiaoboGu updated MAHOUT-696: >> >> > ---------------------------- >> >> > >> >> > Attachment: MAHOUT-696.patch >> >> > >> >> > This version has passed the following testes: >> >> > mahout trainAdaptiveLogistic --input donut.csv --output d:\\model1 >> >> > --target color >> >> --categories 2 --predictors x y --types numeric --threads 8 >> >> > mahout trainAdaptiveLogistic --input donut.csv --output d:\\model1 >> >> > --target color >> >> --categories 2 --predictors x y --types numeric --threads 8 --showperf >> >> > mahout trainAdaptiveLogistic --input donut.csv --output d:\\model1 >> >> > --target color >> >> --categories 2 --predictors x y --types numeric --threads 8 --passes 1000 >> >> > mahout trainAdaptiveLogistic --input donut.csv --output d:\\model1 >> >> > --target color >> >> --categories 2 --predictors x y --types numeric --threads 8 --passes 1000 >> >> --showperf >> >> > mahout trainAdaptiveLogistic --input donut.csv --output d:\\model1 >> >> > --target color >> >> --categories 2 --predictors x y --types numeric --threads 8 --passes 1000 >> >> --showperf >> >> --features 100 >> >> > mahout trainAdaptiveLogistic --input donut.csv --output d:\\model1 >> >> > --target color >> >> --categories 2 --predictors x y --types numeric --threads 8 --passes 1000 >> >> --showperf >> >> --features 100 --skipperfnum 399 >> >> > >> >> > mahout trainAdaptiveLogistic --input donut.csv --output d:\\model1 >> >> > --target color >> >> --categories 2 --predictors x y --types numeric --threads 8 --passes 1000 >> >> --showperf >> >> --features 100 --skipperfnum 399 --prior L1 >> >> > mahout trainAdaptiveLogistic --input donut.csv --output d:\\model1 >> >> > --target color >> >> --categories 2 --predictors x y --types numeric --threads 8 --passes 1000 >> >> --showperf >> >> --features 100 --skipperfnum 399 --prior L2 >> >> > mahout trainAdaptiveLogistic --input donut.csv --output d:\\model1 >> >> > --target color >> >> --categories 2 --predictors x y --types numeric --threads 8 --passes 1000 >> >> --showperf >> >> --features 100 --skipperfnum 399 --prior up >> >> > mahout trainAdaptiveLogistic --input donut.csv --output d:\\model1 >> >> > --target color >> >> --categories 2 --predictors x y --types numeric --threads 8 --passes 1000 >> >> --showperf >> >> --features 100 --skipperfnum 399 --prior tp >> >> > mahout trainAdaptiveLogistic --input donut.csv --output d:\\model1 >> >> > --target color >> >> --categories 2 --predictors x y --types numeric --threads 8 --passes 1000 >> >> --showperf >> >> --features 100 --skipperfnum 399 --prior ebp >> >> > mahout trainAdaptiveLogistic --input donut.csv --output d:\\model1 >> >> > --target color >> >> --categories 2 --predictors x y --types numeric --threads 8 --passes 1000 >> >> --showperf >> >> --features 100 --skipperfnum 399 --prior tp --prioroption 2 >> >> > mahout trainAdaptiveLogistic --input donut.csv --output d:\\model1 >> >> > --target color >> >> --categories 2 --predictors x y --types numeric --threads 8 --passes 1000 >> >> --showperf >> >> --features 100 --skipperfnum 399 --prior ebp --prioroption 2 >> >> > >> >> > mahout trainAdaptiveLogistic --input donut.csv --output d:\\model1 >> >> > --target color >> >> --categories 2 --predictors x y --types numeric --threads 8 --passes 1000 >> >> --showperf >> >> --features 100 --skipperfnum 399 --prior L1 --auc global >> >> > mahout trainAdaptiveLogistic --input donut.csv --output d:\\model1 >> >> > --target color >> >> --categories 2 --predictors x y --types numeric --threads 8 --passes 1000 >> >> --showperf >> >> --features 100 --skipperfnum 399 --prior L1 --auc grouped >> >> > >> >> > mahout validateAdaptiveLogistic --input donut-test.csv --model >> >> > d:\\model1 --auc >> >> --confusion --scores >> >> > >> >> > mahout runAdaptiveLogistic --input donut-test.csv --model d:\\model1 >> >> > --output >> >> d:\\scores.txt --idcolumn c >> >> > mahout runAdaptiveLogistic --input donut-test.csv --model d:\\model1 >> >> > --output >> >> d:\\scores1.txt --idcolumn c --maxscoreonly >> >> > >> >> > >> >> > >> >> >> Command line program for AdaptiveLogiscticRegression >> >> >> ---------------------------------------------------- >> >> >> >> >> >> Key: MAHOUT-696 >> >> >> URL: https://issues.apache.org/jira/browse/MAHOUT-696 >> >> >> Project: Mahout >> >> >> Issue Type: Improvement >> >> >> Components: Classification >> >> >> Affects Versions: 0.5 >> >> >> Reporter: XiaoboGu >> >> >> Assignee: Ted Dunning >> >> >> Fix For: 0.6 >> >> >> >> >> >> Attachments: MAHOUT-696.patch, MAHOUT-696.patch, >> MAHOUT-696.patch, >> >> MAHOUT-696.patch, MAHOUT-696.patch, mahout-696-r1.patch, >> mahout-696-r2.patch, >> >> mahout-696-r3.patch, mahout-696-r4.patch, mahout-696-r5.patch >> >> >> >> >> >> >> >> >> Suggested by Ted, I'll try to write a command line program for >> >> AdaptiveLogicticRegression, but as I am not familir with the algorithm, >> >> I'll try to write a >> >> prototype for the program from a Java developer's perspactive, hope >> >> anyone else will help >> >> with the details of the algorithm. >> >> > >> >> > -- >> >> > This message is automatically generated by JIRA. >> >> > For more information on JIRA, see: >> >> > http://www.atlassian.com/software/jira >> >> > >> >> > >> >> > >> >> >> >> >> >> >> >> -- >> >> Lance Norskog >> >> goks...@gmail.com >> > >> > > >
