You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
36 lines
1.2 KiB
36 lines
1.2 KiB
# MIPLearn: Extensible Framework for Learning-Enhanced Mixed-Integer Optimization
|
|
# Copyright (C) 2020, UChicago Argonne, LLC. All rights reserved.
|
|
# Released under the modified BSD license. See COPYING.md for more details.
|
|
|
|
import os.path
|
|
|
|
from miplearn.benchmark import BenchmarkRunner
|
|
from miplearn.problems.stab import MaxWeightStableSetGenerator
|
|
from scipy.stats import randint
|
|
|
|
from miplearn.solvers.learning import LearningSolver
|
|
|
|
|
|
def test_benchmark():
|
|
# Generate training and test instances
|
|
generator = MaxWeightStableSetGenerator(n=randint(low=25, high=26))
|
|
train_instances = generator.generate(5)
|
|
test_instances = generator.generate(3)
|
|
|
|
# Training phase...
|
|
training_solver = LearningSolver()
|
|
training_solver.parallel_solve(train_instances, n_jobs=10)
|
|
|
|
# Test phase...
|
|
test_solvers = {
|
|
"Strategy A": LearningSolver(),
|
|
"Strategy B": LearningSolver(),
|
|
}
|
|
benchmark = BenchmarkRunner(test_solvers)
|
|
benchmark.fit(train_instances)
|
|
benchmark.parallel_solve(test_instances, n_jobs=2, n_trials=2)
|
|
assert benchmark.results.values.shape == (12, 17)
|
|
|
|
benchmark.write_csv("/tmp/benchmark.csv")
|
|
assert os.path.isfile("/tmp/benchmark.csv")
|