Update benchmark scripts

benchmark/benchmark.py

@@ -30,6 +30,7 @@ logging.getLogger('pyomo.core').setLevel(logging.ERROR)
 
 n_jobs = 10
 time_limit = 300
+internal_solver = "gurobi"
 
 args = docopt(__doc__)
 basepath = args["<challenge>"]
@@ -52,9 +53,11 @@ def train():
     problem_name, challenge_name = args["<challenge>"].split("/")
     pkg = importlib.import_module("miplearn.problems.%s" % problem_name)
     challenge = getattr(pkg, challenge_name)()
-    train_instances = challenge.training_instances[:10]
+    train_instances = challenge.training_instances
-    test_instances  = challenge.test_instances[:10]
+    test_instances  = challenge.test_instances
-    solver = LearningSolver(time_limit=time_limit, components={})
+    solver = LearningSolver(time_limit=time_limit,
+                            solver=internal_solver,
+                            components={})
     solver.parallel_solve(train_instances, n_jobs=n_jobs)
     solver.fit(n_jobs=n_jobs)
     save(train_instances, "%s/train_instances.bin" % basepath)
@@ -157,4 +160,4 @@ if __name__ == "__main__":
     #if args["test-ml"]:
     #    test_ml()
     #if args["charts"]:
-    #    charts()
+    #    charts()