InteractionTransformer

InteractionTransformer

A model type for constructing a interaction transformer, based on MLJTransforms.jl, and implementing the MLJ model interface.

From MLJ, the type can be imported using

InteractionTransformer = @load InteractionTransformer pkg=MLJTransforms

Do model = InteractionTransformer() to construct an instance with default hyper-parameters. Provide keyword arguments to override hyper-parameter defaults, as in InteractionTransformer(order=...).

Generates all polynomial interaction terms up to the given order for the subset of chosen columns. Any column that contains elements with scitype <:Infinite is a valid basis to generate interactions. If features is not specified, all such columns with scitype <:Infinite in the table are used as a basis.

In MLJ or MLJBase, you can transform features X with the single call

transform(machine(model), X)

See also the example below.

Hyper-parameters

• order: Maximum order of interactions to be generated.
• features: Restricts interations generation to those columns

Operations

• transform(machine(model), X): Generates polynomial interaction terms out of table X using the hyper-parameters specified in model.

Example

using MLJ

X = (
    A = [1, 2, 3],
    B = [4, 5, 6],
    C = [7, 8, 9],
    D = ["x₁", "x₂", "x₃"]
)
it = InteractionTransformer(order=3)
mach = machine(it)

julia> transform(mach, X)
(A = [1, 2, 3],
 B = [4, 5, 6],
 C = [7, 8, 9],
 D = ["x₁", "x₂", "x₃"],
 A_B = [4, 10, 18],
 A_C = [7, 16, 27],
 B_C = [28, 40, 54],
 A_B_C = [28, 80, 162],)

it = InteractionTransformer(order=2, features=[:A, :B])
mach = machine(it)

julia> transform(mach, X)
(A = [1, 2, 3],
 B = [4, 5, 6],
 C = [7, 8, 9],
 D = ["x₁", "x₂", "x₃"],
 A_B = [4, 10, 18],)