我试图计算维基百科文档之间的行相似度。我有Key class: class org.apache.hadoop.io.Text Value Class: class org.apache.mahout.math.VectorWritable格式的tf-以色列国防军载体.我正在关注从这里开始的快速文本分析:https://cwiki.apache.org/confluence/display/MAHOUT/Quick+tour+of+text+analysis+using+the+Mahout+command+line
我创建了一个mahout矩阵如下:
mahout rowid \
-i wikipedia-vectors/tfidf-vectors/part-r-00000
-o wikipedia-matrix我得到了生成的行和列数:
vectors.RowIdJob: Wrote out matrix with 4587604 rows and 14121544 columns to wikipedia-matrix/matrix矩阵是Key class: class org.apache.hadoop.io.IntWritable Value Class: class org.apache.mahout.math.VectorWritable格式的。
我还有一个具有以下格式的docIndex文档:Key class: class org.apache.hadoop.io.IntWritable Value Class: class org.apache.hadoop.io.Text
然后当我运行行相似作业时
mahout rowsimilarity
-i wikipedia-matrix/matrix
-o wikipedia-similarity
-r 4587604
--similarityClassname SIMILARITY_COSINE
-m 50
-ess我得到了以下错误:
13/08/25 15:18:18 INFO mapred.JobClient: Task Id : attempt_201308161435_0364_m_000001_1, Status : FAILED
java.lang.ClassCastException: org.apache.hadoop.io.Text cannot be cast to org.apache.mahout.math.VectorWritable
at org.apache.mahout.math.hadoop.similarity.cooccurrence.RowSimilarityJob$VectorNormMapper.map(RowSimilarityJob.java:183)
at org.apache.hadoop.mapreduce.Mapper.run(Mapper.java:144)
at org.apache.hadoop.mapred.MapTask.runNewMapper(MapTask.java:648)
at org.apache.hadoop.mapred.MapTask.run(MapTask.java:322)
at org.apache.hadoop.mapred.Child$4.run(Child.java:266)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:396)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1278)
at org.apache.hadoop.mapred.Child.main(Child.java:260)有人能帮我解决这个错误吗?当输入矩阵是Key class: class org.apache.hadoop.io.IntWritable Value Class: class org.apache.mahout.math.VectorWritable格式时,我不确定输入矩阵在哪里?
非常感谢。
最好的,德拉甘
发布于 2013-09-03 08:55:32
我使用以下命令解决了这个问题:
hadoop jar mahout-examples-0.9-SNAPSHOT.jar
org.apache.mahout.math.hadoop.similarity.cooccurrence.RowSimilarityJob
-i /user/dmilchev/wikipedia-matrix/matrix
-o /user/dmilchev/wikipedia-similarity
-r 4587604 --similarityClassname SIMILARITY_COSINE -m 50 -ess 我没有发现任何错误。
https://stackoverflow.com/questions/18429571
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