mahout

问题 I am trying to run Wikipedia Bayes Example from https://cwiki.apache.org/confluence/display/MAHOUT/Wikipedia+Bayes+Example When I ran the following command : $MAHOUT_HOME/bin/mahout wikipediaXMLSplitter -d $MAHOUT_HOME/examples/temp/enwiki-latest-pages-articles10.xml -o wikipedia/chunks -c 64 I am getting this error: Exception in thread "main" java.lang.NoClassDefFoundError: classpath Caused by: java.lang.ClassNotFoundException: classpath at java.net.URLClassLoader$1.run(URLClassLoader.java

问题 I am trying to run the 2newsgroup classification example in Mahout. I have set MAHOUT_LOCAL=true, the classifier doesn't display the Confusion matrix and gives the following warnings : ok. You chose 2 and we'll use naivebayes creating work directory at /tmp/mahout-work-cloudera + echo 'Preparing 20newsgroups data' Preparing 20newsgroups data + rm -rf /tmp/mahout-work-cloudera/20news-all + mkdir /tmp/mahout-work-cloudera/20news-all + cp -R /tmp/mahout-work-cloudera/20news-bydate/20news-bydate

问题 I'm trying to solve a text classification problem for academic purpose. I need to classify the tweets into labels like "cloud" ,"cold", "dry", "hot", "humid", "hurricane", "ice", "rain", "snow", "storms", "wind" and "other". Each tweet in training data has probabilities against all the label. Say the message "Can already tell it's going to be a tough scoring day. It's as windy right now as it was yesterday afternoon." has 21% chance for being hot and 79% chance for wind. I have worked on the

问题 I have written an application such that when i give it an Id for recommendation it results in successful recommendations. However, when I make a follow-up request it gives me the same recommendations. I would like it to return different recommendations. Thanks 回答1: If the result list is large enough, you could consider shuffling the list and returning a subset of it. 来源： https://stackoverflow.com/questions/5728687/different-recommendations-using-mahout

问题 I am new to data mining. I would like to do some data mining, whereas the data is not English, they are japanese or chinese wording. Does data mining support these languages? If yes, how can we achieve? Any tools and blogs. Appreciate if you can help. 回答1: The answer is as usual: Yes and no. While in fact there are no theoretical problems there are some practical problems with asian languages. A typical data mining pipeline for text consist of stemming (running -> run) removal of stop words

问题 I am trying to run the 2newsgroup classification example in Mahout. I have set: MAHOUT_LOCAL = true the classifier doesn't display the Confusion matrix and gives the following warnings: MAHOUT_LOCAL is set, so we don't add HADOOP_CONF_DIR to classpath. MAHOUT_LOCAL is set, running locally SLF4J: Class path contains multiple SLF4J bindings. SLF4J: Found binding in [jar:file:/usr/lib/mahout/examples/target/mahout-examples-1.0-SNAPSHOT-job.jar!/org/slf4j/impl/StaticLoggerBinder.class] SLF4J:

问题 I want to build a recommendation model based on Mahout. My dataset format has extra columns other than userID, itemID, rating and timestamp. Thus, I think I need to extend the FileDataModel. I looked into JesterDataModel as an example. However, I have a problem with the logic flow. In its buildModel() method, an empty map "data" is first constructed. It is then thrown into processFile. I assume that "data" is modified in this method, since later it is used to construct the GenericDataModel

问题 I am using mahout to create a basic recommender for may application. my data set does not have any preferences. here's how my table looks like Here's how set up mahout MySQLJDBCDataModel jdbcModel2 = new MySQLJDBCDataModel(dataSource,"user_viewed_song_statistics", "AUDIO_FK","USER_PROFILE_FK","AUDIO_FK","UVSS_DATE_CREATED"); ItemSimilarity similarity = new LogLikelihoodSimilarity(jdbcModel2); Recommender recommender = new GenericBooleanPrefItemBasedRecommender(jdbcModel2, similarity); for

问题 I am testing my MR jobs under a single node cluster. Once I installed mahout 9 version Mapreduce jobs stopped showing the progress in jobtracker.(Dont know if that happened after mahout installation) When ever I run a job in my hadoop cluster it wont show the status in job tacker UI as previous and the execution log displaying in the console is also different (similar to mahout logs) Why is it so? Thanks In Advance. 回答1: Most probably you job might be running using LocalJobRunner. If your job

问题 The question is in the title - if Canopy can be used for clustering, as well as for determining centroids, why not use it for clustering, instead of using it just to generate centroids as input for KMeans clustering? I'm considering implementation using Mahout, but I think that this is more a concept, not too much related to system. Thanks 回答1: Canopy is deprecated from Mahout so I wouldn't use it at all. It is fast so the idea was to make a quick better than random estimate of starting