Skip to main content

输入csv文件以及二分类的label名称,输出shap value图

Project description

输入csv文件的路径于引号中,可command+空格键打开聚焦搜索,输入terminal打开终端,

将需输入的csv文件拖入终端,即可显示文件路径

file_path = ''

在中括号中输入想要删除的特征名,如用户ID,与label强相关的同类特征,需加双引号,

特征名之间加逗号(均为英文输入法下的符号)如"user_id","days_active_in_l7d"

del_cols = []

输入需要预测的变量名于引号中,即label名,需要为二分类变量,即取值为0或1

label_feature = ''

输入变量中英文对应的csv文件路径于引号中,csv文件格式:第一行为name_en,name_cn

其余各行格式为 特征英文名,特征中文名 ;目的是输出的特征重要性图中特征名为中文,

如不需要可在文件中只写入第一行,即name_en,name_cn

feature_name_file_path = ''

可以不修改,表示html文件输出路径

root = '/Users/user/Desktop/'

可以不修改,表示输出html文件名

jpg_name = 'shap_value'

无需修改

main(file_path, del_cols, label_feature, feature_name_file_path, root, jpg_name)

Project details


Release history Release notifications | RSS feed

This version

1.0

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

csv2shap-1.0.tar.gz (4.1 kB view hashes)

Uploaded Source

Built Distribution

csv2shap-1.0-py3-none-any.whl (4.6 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page