Generate dummy variables for factor features.
Replace all factor features with their dummy variables. Internally model.matrix is used. Non factor features will be left untouched and passed to the result.
createDummyFeatures( obj, target = character(0L), method = "1-of-n", cols = NULL )
obj |
(data.frame | Task) |
target |
( |
method |
(
Default is “1-of-n”. |
cols |
(character) |
data.frame | Task. Same type as obj
.
Other eda_and_preprocess:
capLargeValues()
,
dropFeatures()
,
mergeSmallFactorLevels()
,
normalizeFeatures()
,
removeConstantFeatures()
,
summarizeColumns()
,
summarizeLevels()
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