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Merge pull request #92707 from cartacioS/patch-21
Update time-series info
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articles/machine-learning/service/concept-automated-ml.md

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@@ -106,6 +106,8 @@ An automated time-series experiment is treated as a multivariate regression prob
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Learn more and see an example of [automated machine learning for time series forecasting](how-to-auto-train-forecast.md). Or, see the [energy demand notebook](https://github.com/Azure/MachineLearningNotebooks/blob/master/how-to-use-azureml/automated-machine-learning/forecasting-energy-demand/auto-ml-forecasting-energy-demand.ipynb) for detailed code examples of advanced forecasting configuration including:
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* holiday detection and featurization
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* time-series and DNN learners (Auto-ARIMA, Prophet, ForecastTCN)
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* many model support through grouping
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* rolling-origin cross validation
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* configurable lags
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* rolling window aggregate features

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