Reiichiro Nakano

Hey @edgimar, the requirement for an xcessiv estimator is that it has fit, get_params, and set_params. Not sure about tensorflow, but Keras has classes KerasClassifier and KerasRegressor that work properly...

Sadly, no. I'll try to see if I can come up with a way that makes it work, but for now, don't expect anything too soon.

Hi @ejdanderson, unfortunately I have not had the time in the past year to maintain Xcessiv. Redis password config seems simple enough to implement, although I haven't looked at the...

Hi @fabioperez, unfortunately I built Xcessiv without deep learning/image processing in mind. It is certainly not feasible to use Xcessiv with the large amounts of data necessary for deep learning...

I have reproduced this error. Unfortunately, I currently do not have the time to look too deep into what is causing this. May I ask why you're trying to use...

HI! I am aware of this issue and am currently mulling the best way to add an option to do this in the UI. For now, please open up a...

@techscientist thank you for your kind feedback! I would love PRs. Thank you!

You can just copy the style of existing tests for each one that you add :) it's probably simpler than adding the preset code itself

Hi, unfortunately, Xcessiv does not currently support Windows as it uses RQ as its job queue. I can't really give a timeline as to when I'll decide to fully support...

For everyone using Windows, as of v0.2.1, Xcessiv now provides an experimental Docker image. Please visit the documentation for usage.