Open EmilHvitfeldt opened 3 weeks ago
What we need:
fit()
predict()
xgboost::xgb.DMatrix()
I think we could use a option() of some kind to unit test that the data passed is passed around in a way that keeps the sparsity.
option()
Adding all of this will give us
What we need:
fit()
to take sparse tibbles as datafit()
to take {Matrix} sparse matrix as datapredict()
to take sparse tibbles as datapredict()
to take {Matrix} sparse matrix as dataxgboost::xgb.DMatrix()
I think we could use a
option()
of some kind to unit test that the data passed is passed around in a way that keeps the sparsity.Adding all of this will give us