I have a system of linear equations in the form of Ax = b to solve in Spark.
A is n by n
b is n by 1
I represent 'A' in the form of IndexedRowMatrix or RowMatrix and 'b' in the
form of DenseMatrix or DenseVector.
How can I solve this system to calculate the 'x' vector?
If the suggested solutio
How is the problem of large-scale matrix inversion approached in Apache Spark
?
This linear algebra operation is obviously the very base of a lot of other
algorithms (regression, classification, etc). However, I have not been able
to find a Spark API on parallel implementation of matrix inversion.
Is this possible to perform exponential regression in Apache Spark ?
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