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.
46 lines
1.3 KiB
46 lines
1.3 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 logging
|
|
from abc import ABC, abstractmethod
|
|
|
|
import numpy as np
|
|
|
|
logger = logging.getLogger(__name__)
|
|
|
|
|
|
class Extractor(ABC):
|
|
@abstractmethod
|
|
def extract(self, instances):
|
|
pass
|
|
|
|
@staticmethod
|
|
def split_variables(instance):
|
|
result = {}
|
|
lp_solution = instance.training_data[0]["LP solution"]
|
|
for var_name in lp_solution:
|
|
for index in lp_solution[var_name]:
|
|
category = instance.get_variable_category(var_name, index)
|
|
if category is None:
|
|
continue
|
|
if category not in result:
|
|
result[category] = []
|
|
result[category] += [(var_name, index)]
|
|
return result
|
|
|
|
|
|
class InstanceFeaturesExtractor(Extractor):
|
|
def extract(self, instances):
|
|
return np.vstack(
|
|
[
|
|
np.hstack(
|
|
[
|
|
instance.get_instance_features(),
|
|
instance.training_data[0]["LP value"],
|
|
]
|
|
)
|
|
for instance in instances
|
|
]
|
|
)
|