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使用 SPU 实现 AdaBoost 分类器算法 #257
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申请实现 |
感谢申请,辛苦按照格式回复哈~认领回复格式:【GitHub ID + Give it to me】 |
Fanguojie Give it to me |
感谢认领~为避免走弯路,请先提交你的设计思路,经确认后再进入开发阶段
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基分类器:决策树、逻辑回归、SVC、KNeighborsClassifier、RandomForestClassifier、glm。adaboost本身不涉及优化器 |
hello,,当前sml中已经有的base model只有LR,建议您可以先把adaboost本身的功能实现,然后再考虑扩展多种base model Thanks |
因一直未提交相应 PR ,故该任务回收~ |
该任务与 spu #254、spu #258 为「开源之夏 2024」基于 SPU 实现 tree-based 分类算法与分位数回归算法的项目课题,不可单独认领。具体认领方式请遵循「开源之夏 2024」活动规则~详情查看:https://summer-ospp.ac.cn/help/student/ |
任务介绍
详细要求
能力要求
操作说明
开发须知
以下部分代码请必须增加代码注释,对对应代码模块进行说明,包括:
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