Corpus: Prefer sparse X when empty
Corpus: Prefer sparse X when empty

Since Table.from_table retains the sparsity structure of X matrix it is preferable if X is in sparse format when empty. This enables that BoW is in sparse format when applying a previously trained classifier on data without any features.

cheral/orange3-text,cheral/orange3-text,cheral/orange3-text