ResponseSurface

Index

Type

UncertaintyQuantification.ResponseSurface Type

ResponseSurface(data::DataFrame, dependendVarName::Symbol, deg::Int, dim::Int)

Creates a response surface using polynomial least squares regression with given degree.

Examples

julia> data = DataFrame(x = 1:10, y = [1, 4, 10, 15, 24, 37, 50, 62, 80, 101]);

julia> rs = ResponseSurface(data, :y, 2)
ResponseSurface([0.48333333333332457, -0.23863636363636026, 1.0189393939393936], :y, [:x], 2, Monomials.Monomial[1, x1, x1²])

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Functions

UncertaintyQuantification.evaluate! Method

evaluate!(rs::ResponseSurface, data::DataFrame)

evaluating data by using a previously trained ResponseSurface.

Examples

julia> data = DataFrame(x = 1:10, y = [1, 4, 10, 15, 24, 37, 50, 62, 80, 101]);

julia> rs = ResponseSurface(data, :y, 2);

julia> df = DataFrame(x = [2.5, 11, 15]);

julia> evaluate!(rs, df);

julia> df.y |> DisplayAs.withcontext(:compact => true)
3-element Vector{Float64}:
   6.25511
 121.15
 226.165

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