New PipeOpEncodePL for Piecewise Linear Encoding

DESCRIPTION

@@ -145,6 +145,7 @@ Collate:
     'PipeOpEncode.R'
     'PipeOpEncodeImpact.R'
     'PipeOpEncodeLmer.R'
+    'PipeOpEncodePL.R'
     'PipeOpFeatureUnion.R'
     'PipeOpFilter.R'
     'PipeOpFixFactors.R'

NAMESPACE

@@ -112,6 +112,9 @@ export(PipeOpDecode)
 export(PipeOpEncode)
 export(PipeOpEncodeImpact)
 export(PipeOpEncodeLmer)
+export(PipeOpEncodePL)
+export(PipeOpEncodePLQuantiles)
+export(PipeOpEncodePLTree)
 export(PipeOpEnsemble)
 export(PipeOpFeatureUnion)
 export(PipeOpFilter)

R/PipeOpEncode.R

@@ -28,7 +28,7 @@
 #' @section Input and Output Channels:
 #' Input and output channels are inherited from [`PipeOpTaskPreproc`].
 #'
-#' The output is the input [`Task`][mlr3::Task] with all affected `factor` and `ordered` parameters encoded according to the `method`
+#' The output is the input [`Task`][mlr3::Task] with all affected `factor` and `ordered` columns encoded according to the `method`
 #' parameter.
 #'
 #' @section State:

R/PipeOpQuantileBin.R

@@ -29,7 +29,7 @@
 #'
 #' @section Parameters:
 #' The parameters are the parameters inherited from [`PipeOpTaskPreproc`], as well as:
-#' * `numsplits`  :: `numeric(1)` \cr
+#' * `numsplits`  :: `integer(1)` \cr
 #'   Number of bins to create. Default is `2`.
 #'
 #' @section Internals:
@@ -58,7 +58,7 @@ PipeOpQuantileBin = R6Class("PipeOpQuantileBin",
     initialize = function(id = "quantilebin", param_vals = list()) {
       ps = ps(
         numsplits = p_int(lower = 2, special_vals = list(NULL), tags = "train")
-        )
+      )
       ps$values = list(numsplits = 2L)
       super$initialize(id, param_set = ps, param_vals = param_vals, packages = "stats", feature_types = c("numeric", "integer"))
     }

R/bibentries.R

@@ -95,8 +95,8 @@ bibentries = c(
 
   han_2005    = bibentry("InProceedings",
     doi       = "10.1007/11538059_91",
-    author    = "Han, Hui and Wang, Wen-Yuan and Mao, Bing-Huan",
-    editor    = "Huang, De-Shuang and Zhang, Xiao-Ping and Huang, Guang-Bin",
+    author    = "Hui Han and Wen-Yuan Wang and Bing-Huan Mao",
+    editor    = "De-Shuang Huang and Xiao-Ping Zhang and Guang-Bin Huang",
     title     = "Borderline-SMOTE: A New Over-Sampling Method in Imbalanced Data Sets Learning",
     booktitle = "Advances in Intelligent Computing",
     year      = "2005",
@@ -107,11 +107,24 @@ bibentries = c(
   ),
 
   freeman_1979 = bibentry("InCollection",
-    author    = "Freeman III, A Myrick",
-    title     = "The Hedonic Price Approach to Measuring Demand for Neighborhood Characteristics",
-    booktitle = "The Economics of Neighborhood",
-    year      = "1979",
-    publisher = "Elsevier",
-    pages     = "191--217"
+    doi        = "10.1016/B978-0-12-636250-3.50015-5",
+    author     = "A Myrick Freeman III",
+    title      = "The Hedonic Price Approach to Measuring Demand for Neighborhood Characteristics",
+    booktitle  = "The Economics of Neighborhood",
+    year       = "1979",
+    publisher  = "Elsevier",
+    pages      = "191--217"
+  ),
+
+
+  gorishniy_2022 = bibentry("InProceedings",
+    title        = "On Embeddings for Numerical Features in Tabular Deep Learning",
+    volume       = "35",
+    url          = "https://proceedings.neurips.cc/paper_files/paper/2022/hash/9e9f0ffc3d836836ca96cbf8fe14b105-Abstract-Conference.html",
+    booktitle    = "Advances in Neural Information Processing Systems",
+    author       = "Yury Gorishniy and Ivan Rubachev and Artem Babenko",
+    year         = "2022",
+    pages        = "24991--25004"
   )
+
 )