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https://issues.apache.org/jira/browse/MAHOUT-696?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13035261#comment-13035261
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XiaoboGu commented on MAHOUT-696:
---------------------------------
I add the following line to the driver.classes.props file
org.apache.mahout.classifier.sgd.RunAdaptiveLogistic = trainAdaptiveLogistic :
Train a logistic regression using adaptivelogistic sgd
But it seems the main function of RunAdaptiveLogistic class can't be called
[gpadmin@lixsvr1 mahtest]$ mahout trainAdaptiveLogistic --input donut.csv
--output ./model --target color --categories 2 --predictors x y --types numeric
--features 20 --passes 100 --rate 50
Running on hadoop, using HADOOP_HOME=/usr/local/hadoop
No HADOOP_CONF_DIR set, using /usr/local/hadoop/src/conf
11/05/18 13:40:27 WARN driver.MahoutDriver: No trainAdaptiveLogistic.props
found on classpath, will use command-line arguments only
Unexpected --passes while processing
--help|--quiet|--auc|--scores|--confusion|--input|--model
Usage:
[--help --quiet --auc --scores --confusion --input <input> --model <model>]
--help|--quiet|--auc|--scores|--confusion|--input|--model
--help print this list
--quiet be extra quiet
--auc print AUC
--scores print scores
--confusion print confusion
matrix
--input input where to get training
data
--model model where to get a model
11/05/18 13:40:28 INFO driver.MahoutDriver: Program took 70 ms
> 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
> Fix For: 0.6
>
> Attachments: AdaptiveLogisticModelParameters.java,
> RunAdaptiveLogistic.java
>
>
> 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.
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