added weekly resolution support

databricks-industry-solutions · Jan 30, 2025 · 2a233d4 · 2a233d4
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Showing 1 changed file with 1 addition and 1 deletion.
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@@ -15,7 +15,7 @@ Get started now!
 - Jan 2025: [TimesFM](https://github.com/google-research/timesfm) is available for univariate and covariate forecasting. Try the notebooks: [univariate](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/examples/foundation_daily.py) and [covariate](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/examples/foundation_external_regressors_daily.py).
 - Jan 2025: [Chronos Bolt](https://github.com/amazon-science/chronos-forecasting) models are available for univariate forecasting. Try the [notebook](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/examples/foundation_daily.py).
 - Jan 2025: [Moirai MoE](https://github.com/SalesforceAIResearch/uni2ts) models are available for univariate forecasting. Try the [notebook](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/examples/foundation_daily.py).
-- Jan 2025: Added support weekly (`freq="W"`) time series . See the notebooks for [local](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/examples/local_univariate_weekly.py), [global](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/examples/global_weekly.py) and [foundation](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/examples/foundation_weekly.py) models.
+- Jan 2025: Added support for weekly (`freq="W"`) time series . See the notebooks for [local](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/examples/local_univariate_weekly.py), [global](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/examples/global_weekly.py) and [foundation](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/examples/foundation_weekly.py) models.
 
 ## Getting started