feat: modernize adaboost chapter - #17
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wzyonggege merged 1 commit intoAug 12, 2026
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wzyonggege merged 1 commit into
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问题描述：AdaBoost notebook 的手写阈值搜索在完美弱分类器、常量特征或粗步长时分别出现除零/未定义变量/找不到切分；100 次实验还把总和错误标作平均百分比。\n\n复现路径：执行原 AdaBoost 类的 fit；完美数据触发 ZeroDivisionError，常量或窄范围特征触发 UnboundLocalError。\n\n修复思路：保留阈值弱分类器、alpha、权重归一化和组合预测的教学算法，提取共享实现；加入有限 alpha、常量 stump、中点阈值与原网格候选，并修正可重复实验统计。\n\n验证：24 个 pytest；9 个 notebook 校验；9 个 smoke notebook；AdaBoost notebook 执行约 9.5 秒且平均准确率 95.152%；uv lock --check；git diff --check。
wzyonggege
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August 12, 2026 06:06
wzyonggege
merged commit Aug 12, 2026
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maintenance/2026-revival-logistic-regression
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