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Comment on TimesFM: Time Series Foundation Model for time-series forecasting

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It seems to me that predicting something based on time is rarely accurate and meaningful.

Suppose you want to buy stocks? Would you look on a time based graph and buy according to that? Or you rather look at financial data, see earnings, profits? Wouldn't a graph that has financial performance on x-axis be more meaningful that one that has time?

What if you research real estate in a particular area? Wouldn't be square footage a better measure than time?

Would you look on a time based graph and buy according to that? Or you rather look at financial data, see earnings, profits?

Things affecting financials happen through time.

All things happen through time, but my argument is that time might not be the best parameter to model relations.

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