wbeardall
wbeardall
Hi ST, I currently have a (temporary) working implementation of a serialized GPFlow, which works by dynamically creating the configuration methods for objects and subclassing them. However, because it's a...
As an alternative fix to this, there's a relatively simple workaround that involves subclassing the Petastorm DataLoader, such that instead of being initialized with a Reader object, it is initialized...
+1 this bug also likely contributes to an issue I'm seeing, where `animation_group` is not respected when the colored attribute changes over time within the same `animation_group`. In this case,...
Is there any progress on this?
The additional overhead seems to be functionally negligible for most practical use-cases where you're model bottlenecked. @jrauch-pros you are correct that there is a performance cost at initialization, see below:...
I've submitted a PR for how I'd go about implementing this. Let me know any thoughts!
I think you might be right here; in honesty, I'm a very recent convert from Pandas, and may have mistaken the design pattern in `pl.ewm_mean`. The main motivation for this...
Perhaps it is better to propagate NaNs, whilst having `null` values behave as initially written in the PR, and communicate to users that this is the mechanism by which they...
I've pushed an implementation for the above, as well as improving robustness. In the previous version, if a series started with a null value, the kernel would panic, as it...
I have read the CLA Document and I hereby sign the CLA