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Add training_data argument to after_solve

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Alinson S. Xavier
2021-01-14 10:37:48 -06:00
parent 30d6ea0a9b
commit e12a896504
15 changed files with 148 additions and 58 deletions
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17
miplearn/components/objective.py
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@@ -36,13 +36,20 @@ class ObjectiveValueComponent(Component):
instance.predicted_lb = lb
logger.info("Predicted values: lb=%.2f, ub=%.2f" % (lb, ub))
def after_solve(self, solver, instance, model, results):
def after_solve(
self,
solver,
instance,
model,
stats,
training_data,
):
if self.ub_regressor is not None:
results["Predicted UB"] = instance.predicted_ub
results["Predicted LB"] = instance.predicted_lb
stats["Predicted UB"] = instance.predicted_ub
stats["Predicted LB"] = instance.predicted_lb
else:
results["Predicted UB"] = None
results["Predicted LB"] = None
stats["Predicted UB"] = None
stats["Predicted LB"] = None
def fit(self, training_instances):
logger.debug("Extracting features...")