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# Author: Simon Blanke |
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# Email: [email protected] |
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# License: MIT License |
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class Info: |
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def init_p_bar(self, _cand_, _core_): |
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pass |
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def update_p_bar(self, n, _cand_): |
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pass |
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def close_p_bar(self): |
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pass |
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def warm_start(self): |
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pass |
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def scatter_start(self): |
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pass |
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def random_start(self): |
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pass |
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def load_meta_data(self): |
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pass |
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def no_meta_data(self, model_func): |
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pass |
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def load_samples(self, para): |
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pass |
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class InfoLVL0(Info): |
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def __init__(self): |
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pass |
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def print_start_point(self, _cand_): |
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return _cand_._get_warm_start() |
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class InfoLVL1(InfoLVL0): |
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def __init__(self): |
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pass |
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def print_start_point(self, _cand_): |
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start_point = _cand_._get_warm_start() |
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print("best para =", start_point) |
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print("score =", _cand_.score_best, "\n") |
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return start_point |
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def warm_start(self): |
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print("Set warm start") |
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def scatter_start(self): |
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print("Set scatter init") |
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def random_start(self): |
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print("Set random start position") |
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def load_meta_data(self): |
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print("Loading meta data successful", end="\r") |
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def no_meta_data(self, model_func): |
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print("No meta data found for", model_func.__name__, "function") |
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def load_samples(self, para): |
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print("Loading meta data successful:", len(para), "samples found") |
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SimonBlanke /
Hyperactive
