Comments (2)
Solution?:
The way sklearn processes this is by converting sparse matrix to ndarray
Sklearn code snippet:
Xs = [f.toarray() if sparse.issparse(f) else f for f in Xs]
return np.hstack(Xs)
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Hi @aparnakesarkar - Thank you for opening an issue. Would you please update your example to include generated data? See this blog for an example on generating data that reproduces the problem.
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