1、自定义学生信息、课程信息、老师信息三者的具体描述 2、自定义example.py和file_exe.py模块,分别用以定义(1)中的描述信息和作为启动文件 3、启动文件中主要包含5个方法,包括星号(“*”)分割线设置、初始化课程信息并装载入列表返回、初始化老师信息并装载入列表返回、遍历课程对象并绑定老师至课程对象的对应属性并装载入列表
code & example Getting Started This repo is mainly used as a reference for anyone who are doing feature engineering, and most of the modules are implemented through scikit-learn or its communities. To run the demos or use the customized function, please download the ZIP file from the repo or...
where d specifies the depth of the sigmoid below 1.0 (for example, function values range from d to 1.0; this largely defines the relative growth rate of a homoplasmic mutant cell compared with a homoplasmic wild-type cell), l specifies the location of the sigmoid inflection point on the x...
This recipe along with the two following it will be centered around automatic feature selection. I like to think of this as the feature analogue of parameter tuning. In the same way that we cross-validate to find an appropriately general parameter, we can find an appropriately general subset o...
Remove outdated Python3.7 in CI Jan 13, 2025 example Fix typo, choosed -> chose (#136) Oct 16, 2024 src/pick Don't handle bare exception Mar 23, 2025 tests Excluded indexes (#132) Jul 29, 2024 .gitignore Adding descriptions for each option (#114) ...
In this report, we presented a Python package called XyGen which allows to generate synthetic data designed for feature selection. While XyGen is aimed at evaluating feature selection algorithms, it can also be used for classification and regression tasks. For example, researchers can analyze the ...
in the isolates’ evolution and were retained after the groups diverged. For example, the estimate for the domestication time of wine strains is about 1.5 thousand years ago32and the wine isolates share the same variants at different frequencies both within and between clades. Similarly, some ...
Explanation with Math and Python Let us define the improvements of features as random variables \{X_k\} , denote \{X_k^o\} as the observed average improvement for each feature (Observed in the example), and define \mu as the improvement threshold (2% in the example). Then with one-...
train = pd.read_csv('data/credit_example.csv') train_labels = train['TARGET'] train.head() 1. 2. 3. 其中,TARGET是分类标签。 这个竞赛是一个监督分类问题,这也是一个非常合适的数据集,因为其中有很多缺失值、大量高度关联的(共线性)特征,还有一些无益于机器学习模型的无关特征。
The Python tool was designed to be modular, which facilitates its integration in third party scripts for automated record selection and scaling in hazard analysis studies. Here, we describe the main features of the software package in detail and provide an application example for the regional ...