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Merge branch 'master' into docs_various
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advieser committed Feb 28, 2025
2 parents 123d334 + 4bb786d commit d4bb15d
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2 changes: 1 addition & 1 deletion .github/workflows/pkgdown.yml
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Expand Up @@ -44,7 +44,7 @@ jobs:

- name: Deploy
if: github.event_name != 'pull_request'
uses: JamesIves/github-pages-deploy-action@v4.7.2
uses: JamesIves/github-pages-deploy-action@v4.7.3
with:
clean: false
branch: gh-pages
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3 changes: 2 additions & 1 deletion R/PipeOpEncodePL.R
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Expand Up @@ -341,7 +341,8 @@ mlr_pipeops$add("encodeplquantiles", PipeOpEncodePLQuantiles)
#'
#' # Calculated bin boundaries per feature
#' pop$state$bins
#' # First feature was split into three encoded features, second into two, using piecewise linear encoding
#' # First feature was split into three encoded features,
#' # second into two, using piecewise linear encoding
#' train_out$head()
PipeOpEncodePLTree = R6Class("PipeOpEncodePLTree",
inherit = PipeOpEncodePL,
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2 changes: 1 addition & 1 deletion R/PipeOpScale.R
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Expand Up @@ -33,7 +33,7 @@
#' * `scale` :: `numeric`\cr
#' The value by which features are divided. 1 if `scale` is `FALSE`\cr
#' If `robust` is `FALSE`, this is the root mean square, defined as `sqrt(sum(x^2)/(length(x)-1))`, of each feature, possibly after centering.
#' If `robust` is `TRUE`, this is the mean absolute deviation multiplied by 1.4826 (see [stats::mad] of each feature, possibly after centering.
#' If `robust` is `TRUE`, this is the median absolute deviation multiplied by 1.4826 (see [stats::mad]) of each feature, possibly after centering.
#' This is 1 for features that are constant during training if `center` is `TRUE`, to avoid division-by-zero.
#'
#' @section Parameters:
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