Types

Node(val::AbstractFloat)

Create a scalar constant node

Node(feature::Int)

Create a variable node using feature feature::Int

Node(var_string::String)

Create a variable node, using the format "x1" to mean feature 1

Node(var_string::String, varMap::Array{String, 1})

Create a variable node, using a user-passed format

Node(op::Int, l::Node)

Apply unary operator op (enumerating over the order given) to Node l

Node(op::Int, l::Union{AbstractFloat, Int})

Short-form for creating a scalar/variable node, and applying a unary operator

Node(op::Int, l::Node, r::Node)

Apply binary operator op (enumerating over the order given) to Nodes l and r

Node(op::Int, l::Union{AbstractFloat, Int}, r::Node)

Short-form to create a scalar/variable node, and apply a binary operator

Node(op::Int, l::Node, r::Union{AbstractFloat, Int})

Short-form to create a scalar/variable node, and apply a binary operator

Node(op::Int, l::Union{AbstractFloat, Int}, r::Union{AbstractFloat, Int})

Short-form for creating two scalar/variable node, and applying a binary operator

Population(pop::Array{PopMember{T}, 1})

Create population from list of PopMembers.

Population(dataset::Dataset{T}, baseline::T;
           npop::Int, nlength::Int=3, options::Options,
           nfeatures::Int)

Create random population and score them on the dataset.

Population(X::AbstractMatrix{T}, y::AbstractVector{T},
           baseline::T; npop::Int, nlength::Int=3,
           options::Options, nfeatures::Int)

Create random population and score them on the dataset.

PopMember(t::Node, score::T, loss::T)

Create a population member with a birth date at the current time.

Arguments

• t::Node: The tree for the population member.
• score::T: The score (normalized to a baseline, and offset by a complexity penalty)
• loss::T: The raw loss to assign.

PopMember(dataset::Dataset{T}, baseline::T,
          t::Node, options::Options)

Create a population member with a birth date at the current time. Automatically compute the score for this tree.

Arguments

• dataset::Dataset{T}: The dataset to evaluate the tree on.
• baseline::T: The baseline loss.
• t::Node: The tree for the population member.
• options::Options: What options to use.

HallOfFame(options::Options)

Create empty HallOfFame. The HallOfFame stores a list of PopMember objects in .members, which is enumerated by size (i.e., .members[1] is the constant solution). .exists is used to determine whether the particular member has been instantiated or not.

Dataset(X::AbstractMatrix{T}, y::AbstractVector{T};
        weights::Union{AbstractVector{T}, Nothing}=nothing,
        varMap::Union{Array{String, 1}, Nothing}=nothing)

Construct a dataset to pass between internal functions.