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From MechCoder <...@git.apache.org>
Subject [GitHub] spark pull request: [SPARK-6485] [MLlib] [Python] Add CoordinateMa...
Date Wed, 22 Jul 2015 17:29:58 GMT
Github user MechCoder commented on a diff in the pull request:

    https://github.com/apache/spark/pull/7554#discussion_r35239673
  
    --- Diff: python/pyspark/mllib/linalg.py ---
    @@ -1152,9 +1156,385 @@ def sparse(numRows, numCols, colPtrs, rowIndices, values):
             return SparseMatrix(numRows, numCols, colPtrs, rowIndices, values)
     
     
    +class DistributedMatrix(object):
    +    """Represents a distributively stored matrix backed by one or more RDDs."""
    +    def numRows(self):
    +        """Get or compute the number of rows."""
    +        raise NotImplementedError
    +
    +    def numCols(self):
    +        """Get or compute the number of cols."""
    +        raise NotImplementedError
    +
    +
    +class DistributedMatrices(object):
    +    """Factory methods for distributed matrices."""
    +    @staticmethod
    +    def rowMatrix(rows, numRows=0, numCols=0):
    +        """
    +        Create a RowMatrix.
    +
    +        :param rows: An RDD of Vectors.
    +        """
    +        javaRowMatrix = callMLlibFunc("createRowMatrix", rows, long(numRows), int(numCols))
    +        jrm = JavaModelWrapper(javaRowMatrix)
    +        return RowMatrix(jrm)
    +
    +    @staticmethod
    +    def indexedRowMatrix(rows, numRows=0, numCols=0):
    +        """
    +        Create an IndexedRowMatrix.
    +
    +        :param rows: An RDD of IndexedRows or (long, Vector) tuples.
    +        """
    +        # We use DataFrames for serialization of IndexedRows from Python, so convert
the RDD to a
    +        # DataFrame. This will convert each IndexedRow to a Row containing the 'index'
and 'vector'
    +        # values, which can both be easily serialized.  We will convert back to IndexedRows
on the
    +        # Scala side.
    +        javaIndexedRowMatrix = callMLlibFunc("createIndexedRowMatrix", rows.toDF(),
    +                                             long(numRows), int(numCols))
    --- End diff --
    
    I've started using Python3 and long(x) raises a NameError, for the reason mentioned above.


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