ML2023Spring - HW01 相关信息：
1.任务目标（回归）
COVID-19 daily cases prediction: COVID-19 每天的病例预测
训练/测试数据大小：3009/997（每一年的homework 可能不同）
2.性能指标（Metric）
均方误差 Mean Squared Error (MSE)
3.数据解析
covid_train.txt: 训练数据
covid_test.txt: 测试数据
数据大体分为三个部分：id, states: 病例对应的地区, 以及其他数据
id: sample 对应的序号。
states: 对 sample 来说该项为 one-hot vector。从整个数据集上来看，每个地区的 sample 数量是均匀的，可以使用pd.read_csv('./covid_train.csv').iloc:,1:34.sum()来查看，地区 sample 数量为 88/89。
其他数据: 这一部分最终应用在助教所给的 sample code 中的 select_feat。
Covid-like illness (5) 新冠症状
cli, ili ...
Behavier indicators (5) 行为表现
wearing_mask、travel_outside_state ... 是否戴口罩，出去旅游 ...
Belief indicators (2) 是否相信某种行为对防疫有效
belief_mask_effective, belief_distancing_effective. 相信戴口罩有效，相信保持距离有效。
Mental indicator (2) 心理表现
worried_catch_covid, worried_finance. 担心得到covid，担心经济状况
Environmental indicators (3) 环境表现
other_masked_public, other_distanced_public ... 周围的人是否大部分戴口罩，周围的人是否大部分保持距离 ...
Tested Positive Cases (1) 检测阳性病例，该项为模型的预测目标
tested_positive (this is what we want to predict) 单位为百分比，指有多少比例的人
4. Baselines
根据作业 PDF 中的提示：
Simple Baseline (1.96993)
运行所给的 sample code。
Medium Baseline (1.15678)
特征选择，简单手动的选择你认为关联性较大的特征。
Strong Baseline (0.92619)
尝试不同的优化器（如：Adam）。
应用 L2 正则化（SGD/Adam ... 优化器参数中的 weight_decay)
Boss Baseline (0.81456)
尝试更好的特征选择，可以使用 sklearn.feature_selection.SelectKBest。
尝试不同的模型架构（调整 my_module.layers）
调整其他超参数
5.个人完整代码分享
https://github.com/holyeyes8/HUNG-YI_LEE_Machine-Learning_Homework/blob/master/HW01.ipynb
可以在colab上面正常运行
5.1 解决问题1
bash
/content# pip install optuna
Requirement already satisfied: optuna in /usr/local/lib/python3.12/dist-packages (4.5.0)
Requirement already satisfied: alembic>=1.5.0 in /usr/local/lib/python3.12/dist-packages (from optuna) (1.16.5)
Requirement already satisfied: colorlog in /usr/local/lib/python3.12/dist-packages (from optuna) (6.9.0)
Requirement already satisfied: numpy in /usr/local/lib/python3.12/dist-packages (from optuna) (2.0.2)
Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.12/dist-packages (from optuna) (25.0)
Requirement already satisfied: sqlalchemy>=1.4.2 in /usr/local/lib/python3.12/dist-packages (from optuna) (2.0.43)
Requirement already satisfied: tqdm in /usr/local/lib/python3.12/dist-packages (from optuna) (4.67.1)
Requirement already satisfied: PyYAML in /usr/local/lib/python3.12/dist-packages (from optuna) (6.0.2)
Requirement already satisfied: Mako in /usr/local/lib/python3.12/dist-packages (from alembic>=1.5.0->optuna) (1.3.10)
Requirement already satisfied: typing-extensions>=4.12 in /usr/local/lib/python3.12/dist-packages (from alembic>=1.5.0->optuna) (4.15.0)
Requirement already satisfied: greenlet>=1 in /usr/local/lib/python3.12/dist-packages (from sqlalchemy>=1.4.2->optuna) (3.2.4)
Requirement already satisfied: MarkupSafe>=0.9.2 in /usr/local/lib/python3.12/dist-packages (from Mako->alembic>=1.5.0->optuna) (3.0.2)
/content# 5.2 数据上传
5.3 运行结果
5.3.1 loss/train
5.3.1 loss/valid
6 本地环境搭建
参考：
https://blog.csdn.net/weixin_42426841/article/details/129520007