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Convert a tabular dataset to a matrix, one-hot encoding factors, if present.

Usage

feature_matrix(x)

Arguments

x

tabular data: Input data to convert to a feature matrix.

Value

Matrix with features. Factors are one-hot encoded, if present.

Details

This is a convenience function that uses features(), preprocess(), as.matrix().

Author

EDG

Examples

# reorder columns so that we have a categorical feature
x <- set_outcome(iris, "Sepal.Length")
feature_matrix(x) |> head()
#> 2026-02-22 18:59:27 
#> One hot encoding Species...
#>  
#>  
#> [one_hot]
#> 
#> 2026-02-22 18:59:27 
#> Preprocessing done.
#>  [preprocess]
#>      Sepal.Width Petal.Length Petal.Width Species_setosa Species_versicolor
#> [1,]         3.5          1.4         0.2              1                  0
#> [2,]         3.0          1.4         0.2              1                  0
#> [3,]         3.2          1.3         0.2              1                  0
#> [4,]         3.1          1.5         0.2              1                  0
#> [5,]         3.6          1.4         0.2              1                  0
#> [6,]         3.9          1.7         0.4              1                  0
#>      Species_virginica
#> [1,]                 0
#> [2,]                 0
#> [3,]                 0
#> [4,]                 0
#> [5,]                 0
#> [6,]                 0