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已完成的基准运行","sha256":"70efe3096d536ddf0d6f0f7335815da85d73017a47a0e52cac5d2621805a3c53","chapter":{"id":"course","title":"已完成的基准运行"},"unit":{"id":"notebook-blocks/781073c3fc214fd6b23ae0a54a479e1d","title":"已完成的基准运行"},"page":{"id":"reading-opening","title":"已完成的基准运行","number":1},"sectionTitle":"已完成的基准运行","currentQuestion":"已完成的基准运行","sourceSlides":[],"knowledgeBlock":null,"formulas":[],"previousBlock":"b-c8bc9a574ff83794802682df","nextBlock":"b-d1daea3edf58d64aa86a70e4","prerequisites":[{"id":"b-11f96a4ac2faa89c1916e79e","url":"#b-11f96a4ac2faa89c1916e79e","role":"section-title"},{"id":"b-419fb971a2c65f3a04ff0a56","url":"#b-419fb971a2c65f3a04ff0a56","role":"problem-context"}],"relatedBlocks":[]},{"id":"b-d1daea3edf58d64aa86a70e4","type":"p","scope":"document","url":"https://codingai-lec03.pages.dev/course/notebook-blocks/781073c3fc214fd6b23ae0a54a479e1d.html#b-d1daea3edf58d64aa86a70e4","content":"以下是本轮本地独立 Python 进程的实际标准输出，云端执行另行记录。","sha256":"ff4e2caa2efcd2a7e24e155ecad4f46e58bf2f1bb641ebcf47707b657cc53d56","chapter":{"id":"course","title":"已完成的基准运行"},"unit":{"id":"notebook-blocks/781073c3fc214fd6b23ae0a54a479e1d","title":"已完成的基准运行"},"page":{"id":"reading-opening","title":"已完成的基准运行","number":1},"sectionTitle":"已完成的基准运行","currentQuestion":"已完成的基准运行","sourceSlides":[],"knowledgeBlock":null,"formulas":[],"previousBlock":"b-a6e5309e8f7879348ec579d4","nextBlock":"b-f1667625c89d3675cce6c47a","prerequisites":[{"id":"b-a6e5309e8f7879348ec579d4","url":"#b-a6e5309e8f7879348ec579d4","role":"section-title"},{"id":"b-419fb971a2c65f3a04ff0a56","url":"#b-419fb971a2c65f3a04ff0a56","role":"problem-context"}],"relatedBlocks":[]},{"id":"b-f1667625c89d3675cce6c47a","type":"pre","scope":"document","url":"https://codingai-lec03.pages.dev/course/notebook-blocks/781073c3fc214fd6b23ae0a54a479e1d.html#b-f1667625c89d3675cce6c47a","content":"```\nsource-trained weights stable/spurious/bias [1.009, 2.7, 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only\n\n```","sha256":"35518f6cfbb15b5a82699b09e2c8f3927ae63badfe6c426c38ccadf53baa1054","chapter":{"id":"course","title":"已完成的基准运行"},"unit":{"id":"notebook-blocks/781073c3fc214fd6b23ae0a54a479e1d","title":"已完成的基准运行"},"page":{"id":"reading-opening","title":"已完成的基准运行","number":1},"sectionTitle":"已完成的基准运行","currentQuestion":"已完成的基准运行","sourceSlides":[],"knowledgeBlock":null,"formulas":[],"previousBlock":"b-d1daea3edf58d64aa86a70e4","nextBlock":"b-468c0e7511de8ba4503b1779","prerequisites":[{"id":"b-a6e5309e8f7879348ec579d4","url":"#b-a6e5309e8f7879348ec579d4","role":"section-title"},{"id":"b-419fb971a2c65f3a04ff0a56","url":"#b-419fb971a2c65f3a04ff0a56","role":"problem-context"}],"relatedBlocks":[]},{"id":"b-468c0e7511de8ba4503b1779","type":"p","scope":"document","url":"https://codingai-lec03.pages.dev/course/notebook-blocks/781073c3fc214fd6b23ae0a54a479e1d.html#b-468c0e7511de8ba4503b1779","content":"目标域零样本下降来自我们显式翻转的相关线索；这不是对现实部署原因的自动诊断。适配收益与迁移相对从零的收益不同，结果表分别报告两者。只把adapt样本数32改为8，重新生成相同环境的独立训练样本，观察方差；多种子评价时保留预先固定的测试种子，不挑最好一次。若背景在所有训练环境都相同方向相关，仅凭随机划分无法知道哪维稳定；增加环境多样性与领域知识是不同干预。[WILDS](https://wilds.stanford.edu/)提供真实分布变化基准；本例是自制可控反例。","sha256":"8cc3d72ee3e45b95d7d873936acad4fa2a00258d3a865a05c0f27ac2aa843c6b","chapter":{"id":"course","title":"已完成的基准运行"},"unit":{"id":"notebook-blocks/781073c3fc214fd6b23ae0a54a479e1d","title":"已完成的基准运行"},"page":{"id":"reading-opening","title":"已完成的基准运行","number":1},"sectionTitle":"已完成的基准运行","currentQuestion":"已完成的基准运行","sourceSlides":[],"knowledgeBlock":null,"formulas":[],"previousBlock":"b-f1667625c89d3675cce6c47a","nextBlock":null,"prerequisites":[{"id":"b-a6e5309e8f7879348ec579d4","url":"#b-a6e5309e8f7879348ec579d4","role":"section-title"},{"id":"b-419fb971a2c65f3a04ff0a56","url":"#b-419fb971a2c65f3a04ff0a56","role":"problem-context"}],"relatedBlocks":[]}]}