i think the oob option is gone
On Jan 21, 2013, at 1:52 PM, Stuti Awasthi <[email protected]> wrote: > Hi, > > I have downloaded Mahout and tried to execute Partial Implementation. When I > try to run I am getting the parsing error: > > $HADOOP_HOME/hadoop jar > $MAHOUT_HOME/examples/target/mahout-examples-0.7-job.jar > org.apache.mahout.classifier.df.mapreduce.BuildForest -oob -d > /testdata/KDDTrain+.arff -ds /testdata/KDDTrain+.info -sl 5 -p -t 100 -o > /testdata/nsl-forest > > 13/01/21 18:16:24 ERROR mapreduce.BuildForest: Exception > org.apache.commons.cli2.OptionException: Unexpected /testdata/nsl-forest > while processing Options > at org.apache.commons.cli2.commandline.Parser.parse(Parser.java:99) > at > org.apache.mahout.classifier.df.mapreduce.BuildForest.run(BuildForest.java:139) > at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:65) > at > org.apache.mahout.classifier.df.mapreduce.BuildForest.main(BuildForest.java:253) > at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) > at > sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57) > at > sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) > at java.lang.reflect.Method.invoke(Method.java:616) > at org.apache.hadoop.util.RunJar.main(RunJar.java:156) > Usage: > [--data <path> --dataset <dataset> --selection <m> --no-complete --minsplit > <minsplit> --minprop <minprop> --seed <seed> --partial --nbtrees <nbtrees> > --output <path> --help] > Options > --data (-d) path Data path > --dataset (-ds) dataset Dataset path > --selection (-sl) m Optional, Number of variables to select randomly > at each tree-node. > For classification problem, the default is > square root of the number of explanatory > variables. > For regression problem, the default is 1/3 of > the number of explanatory variables. > --no-complete (-nc) Optional, The tree is not complemented > --minsplit (-ms) minsplit Optional, The tree-node is not divided, if the > branching data size is smaller than this value. > The default is 2. > --minprop (-mp) minprop Optional, The tree-node is not divided, if the > proportion of the variance of branching data is > smaller than this value. > In the case of a regression problem, this value > is used. The default is 1/1000(0.001). > --seed (-sd) seed Optional, seed value used to initialise the > Random number generator > --partial (-p) Optional, use the Partial Data implementation > --nbtrees (-t) nbtrees Number of trees to grow > --output (-o) path Output path, will contain the Decision Forest > --help (-h) Print out help > > > If I try to run with Mahout-0.5, its working fine and generating > /testdata/nsl-forest/forest.seq in hdfs. > Is this a bug in Mahout-0.7 or am I doing something wrong. > > Please Suggest > > Thanks > Stuti Awasthi > > > > > > ::DISCLAIMER:: > ---------------------------------------------------------------------------------------------------------------------------------------------------- > > The contents of this e-mail and any attachment(s) are confidential and > intended for the named recipient(s) only. > E-mail transmission is not guaranteed to be secure or error-free as > information could be intercepted, corrupted, > lost, destroyed, arrive late or incomplete, or may contain viruses in > transmission. The e mail and its contents > (with or without referred errors) shall therefore not attach any liability on > the originator or HCL or its affiliates. > Views or opinions, if any, presented in this email are solely those of the > author and may not necessarily reflect the > views or opinions of HCL or its affiliates. Any form of reproduction, > dissemination, copying, disclosure, modification, > distribution and / or publication of this message without the prior written > consent of authorized representative of > HCL is strictly prohibited. If you have received this email in error please > delete it and notify the sender immediately. > Before opening any email and/or attachments, please check them for viruses > and other defects. > > ----------------------------------------------------------------------------------------------------------------------------------------------------
