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DESCRIPTION

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Package: mlr3pipelines
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Title: Preprocessing Operators and Pipelines for 'mlr3'
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Version: 0.7.1
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Version: 0.7.2
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Authors@R:
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c(person(given = "Martin",
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family = "Binder",

NEWS.md

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# mlr3pipelines 0.7.1-9000
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# mlr3pipelines 0.7.2
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* New parameter `no_collapse_above_absolute` for `PipeOpCollapseFactors` / `po("collapse_factors")`.
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* Fix: `PipeOpCollapseFactors` now correctly collapses levels of ordered factors.

R/Graph.R

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#' connecting them using [`%>>%`].
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#' * `plot(html = FALSE, horizontal = FALSE)` \cr
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#' (`logical(1)`, `logical(1)`) -> `NULL` \cr
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#' Plot the `Graph`, using either the \pkg{igraph} package (for `html = FALSE`, default) or
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#' Plot the `Graph`, using either the \CRANpkg{igraph} package (for `html = FALSE`, default) or
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#' the `visNetwork` package for `html = TRUE` producing a [`htmlWidget`][htmlwidgets::htmlwidgets].
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#' The [`htmlWidget`][htmlwidgets::htmlwidgets] can be rescaled using [`visOptions`][visNetwork::visOptions].
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#' For `html = FALSE`, the orientation of the plotted graph can be controlled through `horizontal`.

R/GraphLearner.R

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#' `sorted` is `FALSE`, and topologically sorted if `sorted` is `TRUE`.
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#' * `plot(html = FALSE, horizontal = FALSE)` \cr
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#' (`logical(1)`, `logical(1)`) -> `NULL` \cr
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#' Plot the [`Graph`], using either the \pkg{igraph} package (for `html = FALSE`, default) or
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#' Plot the [`Graph`], using either the \CRANpkg{igraph} package (for `html = FALSE`, default) or
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#' the `visNetwork` package for `html = TRUE` producing a [`htmlWidget`][htmlwidgets::htmlwidgets].
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#' The [`htmlWidget`][htmlwidgets::htmlwidgets] can be rescaled using [`visOptions`][visNetwork::visOptions].
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#' For `html = FALSE`, the orientation of the plotted graph can be controlled through `horizontal`.

R/PipeOp.R

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#' if and only if the `PipeOp` has not been trained. The `$state` is the *only* slot that can be reliably modified during
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#' `$train()`, because `private$.train()` may theoretically be executed in a different `R`-session (e.g. for parallelization).
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#' `$state` should furthermore always be set to something with copy-semantics, since it is never cloned. This is a limitation
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#' not of `PipeOp` or `mlr3pipelines`, but of the way the system as a whole works, together with [`GraphLearner`] and [`mlr3`].
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#' not of `PipeOp` or `mlr3pipelines`, but of the way the system as a whole works, together with [`GraphLearner`] and \CRANpkg{mlr3}.
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#' * `input` :: [`data.table`][data.table::data.table] with columns `name` (`character`), `train` (`character`), `predict` (`character`)\cr
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#' Input channels of `PipeOp`. Column `name` gives the names (and order) of values in the list given to
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#' `$train()` and `$predict()`. Column `train` is the (S3) class that an input object must conform to during

R/mlr_pipeops.R

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#' * `label` :: (`character`)\cr
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#' Description of the [`PipeOp`]'s functionality.
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#' * `packages` :: (`character`)\cr
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#' Set of all required packages for the [`PipeOp`]'s train and predict methods.
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#' Set of all required packages for the [`PipeOp`]'s train and predict methods.
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#' * `tags` :: (`character`)\cr
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#' A set of tags associated with the [`PipeOp`] describing its purpose.
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#' * `feature_types` :: (`character`)\cr

attic/workshop2024.org

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- predict_sets during prediction: learner wird 3x aufgerufen
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- predict_sets vom graphlearner sollte das gleiche sein
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* **Filter**
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** filter hash not entirely correct #723
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** Feature intersection #593
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- meta-filter
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* filter things
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*** $importance() for graphlearner #291
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**** Variable importance by "mlr3filters" does not work in "mlr3proba" after preprocessing data with "mlr3pipelines" #579
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*** GraphLearner could have an AB shortcut for $graph$pipeops #600
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** **Better messages, warnings etc**
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*** Better warning if po(<id>) does not work, but ppl(<id>) exists #717
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** **UI Changes**
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*** PipeOpCollapseFactors hyperparameters #709
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*** pos in combination with as_graph leads to unexpected ids #718

man/Graph.Rd

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man/PipeOp.Rd

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man/mlr_learners_graph.Rd

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