tune.py#
#!/usr/bin/env python3.11
# Copyright 2025, Gurobi Optimization, LLC
# This example reads a model from a file and tunes it.
# It then writes the best parameter settings to a file
# and solves the model using these parameters.
import sys
import gurobipy as gp
if len(sys.argv) < 2:
print("Usage: tune.py filename")
sys.exit(0)
# Read the model
model = gp.read(sys.argv[1])
# Set the TuneResults parameter to 2
#
# The first parameter setting is the result for the first solved
# setting. The second entry the parameter setting of the best parameter
# setting.
model.Params.TuneResults = 2
# Tune the model
model.tune()
if model.TuneResultCount >= 2:
# Load the best tuned parameters into the model
#
# Note, the first parameter setting is associated to the first solved
# setting and the second parameter setting to best tune result.
model.getTuneResult(1)
# Write tuned parameters to a file
model.write("tune.prm")
# Solve the model using the tuned parameters
model.optimize()