Max

I can help with the annotated canvas whitelisting and API. Please let me know if this would be useful. While the extension with ID ogmnaimimemjmbakcfefmnahgdfhfami is already whitelisted, there may...

> I am curious if there are any examples available on using it for TF.Keras model which uses transfer learning (fine-tuned) with pre-trained model such as resnet or inceptionv3? No,...

Alive files are generated throughout the training, at each step when summaries are computed. Typically, at the very beginning of the training, very few channels are pruned yet, so the...

@amueller correct me if I'm wrong, but when sklearn does `np.unique` on the 1D non-float data, it becomes impossible to use the trained learner to predict on the new data...

@amueller Ah thanks, the `classes_` attribute wasn't mentioned in `LogisticRegression`, not sure if it's worth submitting a PR for such a small issue though. I guess not only is this...

@amueller ah I didn't think it's that terrible to depend on the stability of `LabelBinarizer`; but I guess it's not ideal. Did you mean as a required argument, or as...

One consideration around the numeric tower is that when a function returns numpy.float, it would be nice to mark it as returning numbers.Real, since (1) I don't want to force...

@jnothman - I don't see how it would work. I meant that the when the classifier finishes training, its `classes_` attribute should be passed to the custom loss function. This...

I just ran into a use case where support for `A.register(B)` would be the only way to make things work: ``` from typing import * class A('Iterable[A]'): _a: 'List[A]' def...

Duh 😆 Nominal checks: if the method naming is too generic (`validate`, `save`, etc.) so the user has (or is afraid to have) a bunch of unrelated classes that would...