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pkgdown.yml

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@@ -2,7 +2,7 @@ pandoc: 3.1.11
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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: 2025-11-24T20:20Z
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last_built: 2025-11-24T20:23Z
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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.adam.html

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reference/mlr_learners_fcst.adam.md

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@@ -203,7 +203,7 @@ learner$train(task, row_ids = ids$train)
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# Print the model
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print(learner$model)
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#> Time elapsed: 0.17 seconds
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#> Time elapsed: 0.18 seconds
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#> Model estimated using adam() function: ETS(MAM)
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#> With backcasting initialisation
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#> Distribution assumed in the model: Gamma

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: 3.84 seconds
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#> Time elapsed: 4.22 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.auto_ces.html

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reference/mlr_learners_fcst.auto_ces.md

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# Print the model
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print(learner$model)
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#> Time elapsed: 0.12 seconds
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#> Time elapsed: 0.14 seconds
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#> Model estimated using ces() function: CES(partial)
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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

search.json

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