# Eunoia.VennFit Julia · 1.0.1 [Source]() ```julia VennFit{S} <: AbstractEulerFit{S} ``` ```julia VennFit{S} ``` Result of laying out a (non-proportional) Venn diagram. Shares [`EulerFit`](<4ed69989ba26556a9f6f1924004c8ef9d3a879be2533c31ba480a63a0d640b42>)'s structure, but the layout is *topological*: every set intersection is drawn regardless of area, so the proportional-error metrics are not meaningful (left at zero) and `original_values` is empty. `fitted_values` holds the geometric area of each region. ## Fields ### `shapes::Vector{S}` [Source]() ### `original_values::Dict{String, Float64}` [Source]() ### `fitted_values::Dict{String, Float64}` [Source]() ### `residuals::Dict{String, Float64}` [Source]() ### `region_error::Dict{String, Float64}` [Source]() ### `diag_error::Float64` [Source]() ### `stress::Float64` [Source]() ### `loss::Float64` [Source]() ### `iterations::Int` [Source]() ### `container::Union{Container, Nothing}` [Source]() ### `plot_data::JSON3.Object` [Source]()