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If folks have libraries who are using SciPy sparse matrices, and you'd like help converting them to run/work with sparse array, this sounds like a nice opportunity to work that out. I wrote a migration guide and have converted a few libraries (working with sklearn now). I suspect an in-person setting could be helpful in this kind of project.
step 1 is to make the library work with sparse arrays.
step 2 allow either interface for inputs and choosing from a few options for handling outputs.
step 3 switch internal creation to sparse array while ensuring "easy" transitions when sparse matrix is removed.
The text was updated successfully, but these errors were encountered:
We've been working on the pysal project during the summit.
The PR pysal/libpysal#785 implements "pass 1" of the 2-pass process for migration as described in the Scipy migration guide page.
If folks have libraries who are using SciPy sparse matrices, and you'd like help converting them to run/work with sparse array, this sounds like a nice opportunity to work that out. I wrote a migration guide and have converted a few libraries (working with sklearn now). I suspect an in-person setting could be helpful in this kind of project.
The text was updated successfully, but these errors were encountered: