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As well as many of the key innovations for OLEDs (patents they later sold to LG)

They do mention covariates in section 6.1 - specifically how this method doesn’t support them but ideas on how they could in the future such as via stacking:

> In this work, we have focused on univariate time series forecasting since it constitutes the most common of real-world time series use-cases. Nevertheless, practical forecasting tasks often involve additional information that must be taken into account. One example involves covariates, that can be either time-independent (e.g., color of the product) or time-varying (e.g., on which days the product is on sale). Another closely related problem is multivariate forecasting, where historic values of one time series (e.g., interest rates) can influence the forecast for another time series (e.g., housing prices). The number of covariates or multivariate dimensions can vary greatly across tasks, which makes it challenging to train a single model that can handle all possible combinations. A possible solution may involve training task-specific adaptors that inject the covariates into the pretrained forecasting model (Rahman et al., 2020). As another option, we can build stacking ensembles (Ting & Witten, 1997) of Chronos and other light-weight models that excel at handling covariates such as LightGBM (Ke et al., 2017).

Thanks, I’ll give it a shot sometime and share whatever I figure out

When I looked into it a couple years ago, it was possible to configure nbdev to use e.g. GitLab instead of GitHub for those of us who can't use GitHub for whatever reason. Is this still possible with the rewrite? Any major things we'd be missing out on?

And thanks for putting together such an awesome resource, I'm excited to try kicking the tires on it again!

Awesome book, Ravin! I’m waiting for my physical copy to arrive (should be here tomorrow!) before really diving in, but what I’ve skimmed in the digital copy so far is great.

Btw I’ve been using PyMC2 since 2010 and contracted a bit with PyMC Labs, so I’m surprised we’ve never bumped into each other!

And it’s not just that the wheel well needs to be in front of the passengers, but also the front crumple zone is very important to passenger safety in many of the most common crash scenarios.