Ranking

struct RankingBenchmark{E} <: AbstractBenchmark

Basic benchmark problem with ranking as the CO algorithm.

Fields

• instance_dim::Int64: instances dimension, total number of classes

• nb_features::Int64: number of features

• encoder::Any: true mapping between features and costs

RankingBenchmark(
;
    instance_dim,
    nb_features,
    seed
) -> RankingBenchmark{E} where E<:(Flux.Chain{T} where T<:Tuple{Flux.Dense{typeof(identity), Matrix{Float32}}, typeof(vec)})

Custom constructor for RankingBenchmark.

ranking(θ::AbstractVector; rev, kwargs...) -> Any

Compute the vector r such that rᵢ is the rank of θᵢ in θ.

generate_dataset(bench::RankingBenchmark; ...) -> Any
generate_dataset(
    bench::RankingBenchmark,
    dataset_size::Int64;
    seed,
    noise_std
) -> Any

Generate a dataset of labeled instances for the ranking problem.

generate_maximizer(
    bench::RankingBenchmark
) -> typeof(DecisionFocusedLearningBenchmarks.Ranking.ranking)

Return a ranking maximizer.

generate_statistical_model(
    bench::RankingBenchmark;
    seed
) -> Flux.Chain{T} where T<:Tuple{Flux.Dense{typeof(identity), Matrix{Float32}}, typeof(vec)}

Initialize a linear model for bench using Flux.