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Make LearningSolver work with persistent solvers

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This commit is contained in:
Alinson S. Xavier
2020-01-22 15:20:59 -06:00
parent f538356bf6
commit e13eba86b0
1 changed files with 7 additions and 3 deletions
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10
miplearn/solvers.py
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@@ -57,7 +57,7 @@ class LearningSolver:
var[index].value = 0
# Solve MILP
self.parent_solver.solve(model, tee=tee, warmstart=True)
self._solve(model, tee=tee)
# Update y_train
for category in var_split.keys():
@@ -78,5 +78,9 @@ class LearningSolver:
self.ws_predictors[category] = WarmStartPredictor()
self.ws_predictors[category].fit(x_train, y_train)
def _solve(self, tee):
self.parent_solver.solve(tee=tee)
def _solve(self, model, tee=False):
if hasattr(self.parent_solver, "set_instance"):
self.parent_solver.set_instance(model)
self.parent_solver.solve(tee=tee, warmstart=True)
else:
self.parent_solver.solve(model, tee=tee, warmstart=True)