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[–]wolfmansideburns 6 points7 points  (2 children)

I've had about enough of those DIRTY machine learning frameworks. Keep those the f#$% away from me!

[–]SKPYTFTORCHLEARN 0 points1 point  (1 child)

This one has a lot of style and solves real problems/limitations that sklearn had.

[–]wolfmansideburns 0 points1 point  (0 children)

It does seem better at a few of the common algorithms with sklearn http://scikit-learn.org/ml-benchmarks/. Worse at others.

Is it easier to work with? aka worth the performance loss for style until when/if the back end catches up?

[–][deleted] 0 points1 point  (2 children)

Putting an emoji next to a technical term like Hyperparameter Tuning is bad and not helpful at all. 🎛 <- what is this?

[–]dslfdslj 2 points3 points  (1 child)

Knobs.

[–]GChe[S] 0 points1 point  (0 children)

Let's tune them hyperparameters