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Copy file name to clipboardExpand all lines: README.md
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## What's New
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- Feb 2025: [Prophet](https://www.sktime.net/en/stable/api_reference/auto_generated/sktime.forecasting.fbprophet.Prophet.html) is available for univariate forecasting via `SKTimeProphet`. Try the [notebook](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/examples/daily/local_univariate_daily).
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- Feb 2025: Added a post evaluation notebook that shows how to run fine-grained model selection after running MMF. Try the [notebook](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/examples/post-evaluation-analysis.ipynb).
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- 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/daily/foundation_daily.py) and [covariate](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/examples/external_regressors/foundation_external_regressors_daily.py).
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- 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/daily/foundation_daily.py).
Copy file name to clipboardExpand all lines: examples/hourly/local_univariate_hourly.py
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# MAGIC %md ### Models
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# MAGIC Let's configure a list of models we are going to apply to our time series for evaluation and forecasting. A comprehensive list of all supported models is available in [mmf_sa/models/models_conf.yaml](https://github.com/databricks-industry-solutions/many-model-forecasting/blob/main/mmf_sa/models/models_conf.yaml). Look for the models where `model_type: local`; these are the local models we import from [statsforecast](https://github.com/Nixtla/statsforecast). Check their documentations for the description of each model.
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# MAGIC
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# MAGIC *Note that hourly forecasting is currently not supported for `r fable` and `sktime` models.*
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# MAGIC *Note that hourly forecasting is currently not supported for `r fable` models.*
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