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‎pkgdown.yml‎

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pkgdown: 2.2.0
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pkgdown_sha: ~
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articles: {}
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last_built: 2025-11-24T10:34Z
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last_built: 2025-11-24T12:31Z
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urls:
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reference: https://mlr3forecast.mlr-org.com/reference
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article: https://mlr3forecast.mlr-org.com/articles

‎reference/mlr_learners_fcst.auto_adam.html‎

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‎reference/mlr_learners_fcst.auto_adam.md‎

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# Print the model
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print(learner$model)
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#> Time elapsed: 3.89 seconds
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#> Time elapsed: 4.19 seconds
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#> Model estimated using auto.adam() function: ETS(MAM)
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#> With backcasting initialisation
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#> Distribution assumed in the model: Normal

‎reference/mlr_learners_fcst.ces.html‎

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‎reference/mlr_learners_fcst.ces.md‎

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# Print the model
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print(learner$model)
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#> Time elapsed: 0.02 seconds
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#> Time elapsed: 0.03 seconds
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#> Model estimated using ces() function: CES(none)
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#> With backcasting initialisation
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#> Distribution assumed in the model: Normal

‎reference/mlr_resamplings_fcst.holdout.html‎

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‎reference/mlr_resamplings_fcst.holdout.md‎

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# Forecast Holdout Resampling
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Splits data into a training set and a test set. Parameter `ratio`
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determines the ratio of observation going into the training set
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(default: 2/3).
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determines the ratio of observation going into the training set.
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## Dictionary
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or with the associated sugar function
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[rsmp()](https://mlr3.mlr-org.com/reference/mlr_sugar.html):
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mlr_resamplings$get("fcst.cv")
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rsmp("fcst.cv")
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mlr_resamplings$get("fcst.holdout")
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rsmp("fcst.holdout")
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## Parameters
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‎search.json‎

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