Hi Niplav, thanks for your work! I’ve been thinking about doing the same, so you saved me quite some time :)
I made a pull request where I’m suggesting a couple small changes and bug fixes to make it more portable and usable in other projects.
For other readers this might be the most interesting part: I created a jupyter notebook loading all datasets and showing their preview. So now it should be really simple to start working with the data or just see if it’s relevant for you at all.
If you’d like to collaborate on this further I might add support for Manifold Markets data and Autocast dataset, as that’s what I’ve been working with up till now.
Hi Niplav, thanks for your work! I’ve been thinking about doing the same, so you saved me quite some time :)
I made a pull request where I’m suggesting a couple small changes and bug fixes to make it more portable and usable in other projects.
For other readers this might be the most interesting part: I created a jupyter notebook loading all datasets and showing their preview. So now it should be really simple to start working with the data or just see if it’s relevant for you at all.
If you’d like to collaborate on this further I might add support for Manifold Markets data and Autocast dataset, as that’s what I’ve been working with up till now.
Thank you! I’ll review the pull request later today, but it looks quite useful :-)
Not sure how much free time I can spend on the forecasting library, but I’ll add the sources to the post.