menobis fit

TL;DR

Use menobis fit to solve Lagrange multipliers from an observed edge table.

Commands

Command	Model	Case	Output columns
strength-poisson	Strength Poisson	—	node,x,y
strength-geometric	Strength geometric W	W	node,x,y,layers,status,...
strength-negative-binomial	Strength negative-binomial W	W	node,x,y,layers,status,...
degree-bernoulli	Degree Bernoulli	5	node,x,y
strength-cost-poisson	Strength-cost Poisson	2	node,x,y,gamma
strength-edges-poisson	Strength-edges Poisson	3	node,x,y,lambda
strength-degree-poisson	Strength-degree Poisson	4	node,x,y,z,w

Examples

menobis fit strength-poisson edges.csv --json
menobis fit strength-poisson edges.csv --output fit.csv
menobis fit strength-geometric edges.csv --json
menobis fit strength-negative-binomial edges.csv --layers 3 --output fit.csv
menobis fit strength-cost-poisson edges.csv --coordinates xy.csv --target-cost 120.0
menobis fit strength-edges-poisson edges.csv --target-edges 500
menobis fit strength-degree-poisson edges.csv --output fit.csv
menobis fit degree-bernoulli edges.csv --json

Options

Option	Meaning
--output, -o	Write multipliers to CSV
--json	Print JSON to stdout
--quiet	Suppress progress
--self-loops/--no-self-loops	Diagonal handling
--target-edges	Target \(E\) (strength-edges)
--layers	Negative-binomial layer count \(M > 1\)
--tolerance	Solver tolerance
--max-iterations	Solver iteration cap
--target-cost	Target \(C\) (strength-cost)
--coordinates	Projected XY coordinate CSV path (strength-cost)