alt Hacker NewsShow HN: Python SDK – forecasting with foundation time-series and tabular models
We’ve built a Python SDK for running inference on foundation models designed for time-series and tabular data. They are new SOTA models for time-series and tabular tasks and work out of the box. They do not require model training or feature engineering. The link to the GitHub repository is: https://github.com/S-FM/faim-python-client
Comments
SubiculumCode • today at 4:02 AM
I do not understand how time series can be forecast without training on data from a relevant domain. Like, would these be able to predict EEG/fMRI timeseries?
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BobSonOfBob • today at 7:27 AM
Would be good if the site had a couple of case studies
If these worked we would have heard a lot more about them.