Input types for count matrix
adamgayoso opened this issue · comments
We should at least accept:
- Sparse matrices
- Pandas DataFrames
- 10x mtx format
For sparse matrices, we will probably just instantly make them dense.
If it seems worthwhile to fully support sparse in and out, there are some options for getting "around" PCA densifying the matrix, such as a random subsample PCA.
I'm not familiar with these approaches, so we'd have to look into them further.
Likely use sklearn.utils.check_array.