From a4fd4ca7c319439f5ce77a81aa8f3a61b751cbf2 Mon Sep 17 00:00:00 2001 From: Yichen Zhou Date: Wed, 8 May 2024 10:43:49 -0700 Subject: [PATCH] No public description PiperOrigin-RevId: 631851985 --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 7ff436b..303da77 100644 --- a/README.md +++ b/README.md @@ -18,7 +18,7 @@ This is not an officially supported Google product. timesfm-1.0-200m is the first open model checkpoint: -- It performs univariate time series forecasting for context lengths up tp 512 timepoints and any horizon lengths, with an optional frequency indicator. +- It performs univariate time series forecasting for context lengths up to 512 timepoints and any horizon lengths, with an optional frequency indicator. - It focuses on point forecasts, and does not support probabilistic forecasts. We experimentally offer quantile heads but they have not been calibrated after pretraining. - It requires the context to be contiguous (i.e. no "holes"), and the context and the horizon to be of the same frequency.