Extract dimensionality.

Usage

get.info(x, y)

Arguments

x: list of \(q\) matrices, with \(n_k\) (samples) rows and \(p\) columns (features), for \(k\) in \(1,\ldots,q\)
y: list of \(q\) vectors, with \(n_k\) entries, for \(k\) in \(1,\ldots,q\)

Value

Returns a list with the slots \(q\) (scalar, number of problems), \(n\) (vector of length \(q\), number of samples) and \(p\) (scalar, number of features)

Examples

data <- sim.data.transfer()
get.info(x=data$X_train,y=data$y_train)
#> $q
#> [1] 3
#> 
#> $n
#> [1]  50 100 200
#> 
#> $p
#> [1] 200
#>