Thanks for this project, Xiaobo! I look forward to playing with it. Lance
On Wed, Jun 29, 2011 at 8:21 PM, XiaoboGu (JIRA) <[email protected]> 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 [email protected]
