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33 lines
1.0 KiB
33 lines
1.0 KiB
# MIPLearn: Extensible Framework for Learning-Enhanced Mixed-Integer Optimization
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# Copyright (C) 2020-2022, UChicago Argonne, LLC. All rights reserved.
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# Released under the modified BSD license. See COPYING.md for more details.
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import logging
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from typing import Any, Dict, List
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from . import _extract_bin_var_names_values
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from .actions import PrimalComponentAction
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from ...solvers.abstract import AbstractModel
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from ...h5 import H5File
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logger = logging.getLogger(__name__)
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class ExpertPrimalComponent:
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def __init__(self, action: PrimalComponentAction):
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self.action = action
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"""
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Component that predicts warm starts by peeking at the optimal solution.
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"""
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def fit(self, train_h5: List[str]) -> None:
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pass
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def before_mip(
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self, test_h5: str, model: AbstractModel, stats: Dict[str, Any]
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) -> None:
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with H5File(test_h5, "r") as h5:
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names, values, _ = _extract_bin_var_names_values(h5)
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self.action.perform(model, names, values.reshape(1, -1), stats)
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