Amir Alavi

Worked around this with @rockdeme's suggestion. Just use anndata, you'll have to get reticulate and other dependencies but it's worth it. Example: ```R library("Seurat") library("anndata") print("Convert from Scanpy to Seurat...")...

I'm not exactly sure, but it looks like it's failing when building scikit-learn 0.24.2. You can checkout #1675 for a workaround.

I think that such a refactor would be very beneficial, and make auto-sklearn even more useful. Are there opportunities to contribute to this refactor?

@eddiebergman something I'd like to see from this refactor is the ability to specify an optional `max_success_trials` parameter (maximum number of successful candidate algorithms tried) to the constructors for AutoSklearn...

@eddiebergman something else we noticed was the extremely long `refit` time for AutoSklearn models. For example, if we set the `time_left_for_this_task` to be just 1hr, and so the `per_run_time_limit` is...

@eddiebergman Thank you for the longform response! It was very useful and informative. I like the new API from what it sounds like (though I don't think i have my...

@eddiebergman Regarding point two, sure I'll make an issue so there's a record of it, but not sure i'll get to a thorough investigation myself. And thank you! I wasn't...

@eddiebergman I have another feature request/consideration for you :) A pain point currently is making sure we're doing a proper cross-validation scheme. Because we're doing algorithm selection and hyperparameter tuning...

> @eddiebergman I have another feature request/consideration for you :) I have a counterpoint to my own suggestion. In the case when you have fixed resources, you have two options:...

It's because of the new Cython release a few days ago, and its incompatibility with older scikit-learn. Workaround for now is to 1. Install older Cython 2. Make sure that...