You are viewing a plain text version of this content. The canonical link for it is here.
Posted to dev@mahout.apache.org by "Grant Ingersoll (Updated) (JIRA)" <ji...@apache.org> on 2012/01/27 04:43:43 UTC
[jira] [Updated] (MAHOUT-957) term vectors not created in
SparseVectorsFromSequenceFiles using tf weighting and maxDFSigma filtering
[ https://issues.apache.org/jira/browse/MAHOUT-957?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Grant Ingersoll updated MAHOUT-957:
-----------------------------------
Attachment: MAHOUT-957.patch
here's a fix.
> term vectors not created in SparseVectorsFromSequenceFiles using tf weighting and maxDFSigma filtering
> ------------------------------------------------------------------------------------------------------
>
> Key: MAHOUT-957
> URL: https://issues.apache.org/jira/browse/MAHOUT-957
> Project: Mahout
> Issue Type: Bug
> Components: Clustering
> Affects Versions: 0.6
> Reporter: John Conwell
> Assignee: Grant Ingersoll
> Fix For: 0.6
>
> Attachments: MAHOUT-957.patch
>
>
> The SparseVectorsFromSequenceFiles throws an exception when you want term frequency vectors output, with the maxDFSigma filtering option.
> Basically the if / else if section shown below, will skip calling DictionaryVectorizer.createTermFrequencyVectors when have that combination. The condition will create vectors when you want tf vectors without maxDFSigma filtering, or tfidf vectors with maxDFSigma filtering, but if you want tf vectors with maxDFSigma filtering, it totally skips over the call to createTermFrequencyVectors, and later on throws an exception because the vector input path doesn't exist.
> For example, the following cmd line will reproduce this situation:
> bin/mahout seq2sparse -i /Users/me/Documents/workspace/mahoutStuff/seq -o /Users/me/Documents/workspace/mahoutStuff/termvecs -wt tf --minSupport 2 --minDF 2 --maxDFSigma 3 -seq
> //the suspect code at line ~267 in DictionaryVectorizer.createTermFrequencyVectors
> if (!processIdf && !shouldPrune) {
> DictionaryVectorizer.createTermFrequencyVectors(tokenizedPath, outputDir, tfDirName, conf, minSupport, maxNGramSize,
> minLLRValue, norm, logNormalize, reduceTasks, chunkSize, sequentialAccessOutput, namedVectors);
> } else if (processIdf) {
> DictionaryVectorizer.createTermFrequencyVectors(tokenizedPath, outputDir, tfDirName, conf, minSupport, maxNGramSize,
> minLLRValue, -1.0f, false, reduceTasks, chunkSize, sequentialAccessOutput, namedVectors);
> }
--
This message is automatically generated by JIRA.
If you think it was sent incorrectly, please contact your JIRA administrators: https://issues.apache.org/jira/secure/ContactAdministrators!default.jspa
For more information on JIRA, see: http://www.atlassian.com/software/jira