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Dan Brickley commented on MAHOUT-880: ------------------------------------- Does Mahout yet have a method to take a large full matrix, and convert it sparse matrix format (losing zero values or perhaps if it makes sense, near-zero values also...)? > Add some matrix method(like addition, subtraction, norm ... etc) to > DistributedRowMatrix > ---------------------------------------------------------------------------------------- > > Key: MAHOUT-880 > URL: https://issues.apache.org/jira/browse/MAHOUT-880 > Project: Mahout > Issue Type: New Feature > Components: Math > Affects Versions: 0.6 > Reporter: Wangda Tan > Priority: Minor > Labels: DistributedRowMatrix > Attachments: MAHOUT-880.patch > > > I'm a new to Mahout, I didn't find some basic matrix functions. This make > users cannot do many tasks by CLI or API, if user get some result through > existing map-reduce matrix operation (like svd), he cannot do farther steps. > I make a list for it: > 1) Addition, Subtraction > 2) Norm (like norm-1, norm-2, norm-frobenius) > 3) Matrix compare > 4) Get lower triangle, upper triangle and diagonal > 5) Get identity and zero matrix > 6) Put two or matrix to together: A = [A1, A2] > 7) More linear equations solver method, like Gaussian elimination (maybe it's > hard to implement) > 8) import and export CSV, ARFF ... (this will very useful when user want to > reuse result from or to other applications like MATLAB) > I want to know is there any plan to do this, if so, I can make some efforts > to implement these. -- 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