Bring an already-reduced feature table into a ladder

A representation the package did not build, such as a published set of hand-aggregated climate summaries, enters here. It becomes a one-channel [unit, feature, 1] array, which is what a learner reads, so a feature table and a temporal grain can be arms of the same grain_ladder() and be scored on the same cells by the same rule.

Usage

feature_matrix(m, label = "features")

Arguments

m

A matrix or data frame of units by features, with unit identifiers in the row names or in a leading character or factor column.

label

The name the arm is reported under.

Value

A timesift_matrix of shape [unit, feature, 1].

Details

It carries no time axis, because it has none: the reduction already happened, elsewhere, and what reaches the model is a list of numbers per unit. That is the whole point of comparing against it.

Examples

m <- matrix(rnorm(30), nrow = 10,
            dimnames = list(sprintf("p%02d", 1:10), paste0("bio", 1:3)))
feature_matrix(m)