Make lazy constraints compatible with JuMP

This commit is contained in:
2024-02-01 16:56:45 -06:00
parent 4d5b7e971c
commit 190c288203
11 changed files with 191 additions and 11 deletions

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@@ -27,7 +27,7 @@ function gen_stab()
end
function test_cuts()
data_filenames = ["$BASEDIR/../fixtures/stab-n50-0000$i.pkl.gz" for i in 0:0]
data_filenames = ["$BASEDIR/../fixtures/stab-n50-00000.pkl.gz"]
clf = pyimport("sklearn.dummy").DummyClassifier()
extractor = H5FieldsExtractor(
instance_fields=["static_var_obj_coeffs"],

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@@ -0,0 +1,46 @@
# MIPLearn: Extensible Framework for Learning-Enhanced Mixed-Integer Optimization
# Copyright (C) 2020-2024, UChicago Argonne, LLC. All rights reserved.
# Released under the modified BSD license. See COPYING.md for more details.
using GLPK
function gen_tsp()
np = pyimport("numpy")
uniform = pyimport("scipy.stats").uniform
randint = pyimport("scipy.stats").randint
np.random.seed(42)
gen = TravelingSalesmanGenerator(
x=uniform(loc=0.0, scale=1000.0),
y=uniform(loc=0.0, scale=1000.0),
n=randint(low=20, high=21),
gamma=uniform(loc=1.0, scale=0.25),
fix_cities=true,
round=true,
)
data = gen.generate(1)
data_filenames = write_pkl_gz(data, "$BASEDIR/../fixtures", prefix="tsp-n20-")
collector = BasicCollector(write_mps=false)
collector.collect(
data_filenames,
data -> build_tsp_model_jump(data, optimizer=GLPK.Optimizer),
progress=true,
verbose=true,
)
end
function test_lazy()
data_filenames = ["$BASEDIR/../fixtures/tsp-n20-00000.pkl.gz"]
clf = pyimport("sklearn.dummy").DummyClassifier()
extractor = H5FieldsExtractor(
instance_fields=["static_var_obj_coeffs"],
)
comp = MemorizingLazyComponent(clf=clf, extractor=extractor)
solver = LearningSolver(components=[comp])
solver.fit(data_filenames)
stats = solver.optimize(
data_filenames[1],
data -> build_tsp_model_jump(data, optimizer=GLPK.Optimizer),
)
@test stats["Lazy Constraints: AOT"] > 0
end