Mavs

Update: ATOM's newest release (v4.11.0) has full support for sparse matrices and has improvements in memory usage. If your dataset is a sparse matrix, it should work fine

Hi, I can't reproduce the error and, to be honest, the error doesn't seem to have anything to do with the data used nor ATOM itself. Couple of suggestions: *...

I couldn't reproduce the error on my Windows machine with Python 3.8.3. Can you check a couple of things so that I have a better understanding of what's happening: -...

I did some googling and it could be related to a conda / MKL problem, see https://github.com/scikit-learn/scikit-learn/issues/5046. Proposed solutions: * conda install numpy (I don't think this will solve it...

This would be a nice extra feature indeed. Since this is a lot of work, I will consider adding this to the release after the next one. The next release...

Hi. Now that 4.14 has been released I was looking at the features for next release. I think it's going to be a big one (probably v5.0.0) so this seems...

Hi, About the first issue with the encoding: I reran the example and it worked fine for me. Did you use the same dataset as the example? To clarify the...

I thought about it and the idea of atom's initializer is to get the dataset with which you want to work. A sklearn pipeline does not contain any data so...

We discussed this but decided not to drop support for Python 3.7 yet because colab still uses 3.7 as default version, and a lot of our users rely on colab....

> @tvdboom we can also make a manual to install python 3.8 on google colab (https://stackoverflow.com/questions/60775160/install-python-3-8-kernel-in-google-colaboratory) and so our problem is solved. I want to know your opinion about that...