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(OnlineLogisticRegression.java:162) > at > org.apache.mahout.classifier.sgd.CrossFoldLearner.readFields(CrossFoldLearner.java:317) > at > org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression$Wrapper.readFields(AdaptiveLogisticRegression.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(AdaptiveLogisticRegression.java:539) > at > org.apache.mahout.classifier.sgd.AdaptiveLogisticModelParameters.readFields(AdaptiveLogisticModelParameters.java:173) > at > org.apache.mahout.classifier.sgd.AdaptiveLogisticModelParameters.loadFromStream(AdaptiveLogisticModelParameters.java:179) > at > org.apache.mahout.classifier.sgd.AdaptiveLogisticModelParameters.loadFromFile(AdaptiveLogisticModelParameters.java:186) > at > org.apache.mahout.classifier.sgd.ValidateAdaptiveLogistic.main(ValidateAdaptiveLogistic.java: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.plugin >> .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 > >
