Lupin3

目前0.0.12 稳定版本

已经完成功能更新

数据清洗

缺失值填充

1. 类别缺失值填充'other'
2. float缺失值填充 0

标准化

1. Standard

已有模型

LR, SVM, RF, DT

计划模型

lightgbm

计划更新

结构重制

缺失值填充

1. float均匀填充
2. float决策树填充
3. 类别mode填充

包依赖

· 清华源 -i https://pypi.tuna.tsinghua.edu.cn/simple some-package

主环境

python 3.8

依赖包

scikit-learn==0.22.1
numpy==1.21.5
pandas==1.2.4
psycopg2-binary==2.9.3
mysql-connector==2.2.9
ipython==7.12.0
transformers==4.23.1
torch==1.7.0
matplotlib==3.5.1
lightgbm==3.3.5

how to use

import pandas as pd  
from sklearn.datasets import load_breast_cancer  
import lupin3.lupin3 as lupin3  

def ret_data():  
    # iris = load_iris()
    iris = load_breast_cancer()  
    return iris.data, iris.target

data, label = ret_data()


data = pd.DataFrame(data)
label = pd.Series(label)
data['label'] = label

ML = lupin3.MachineLearningClassify()
print(ML.easyauc_output(data,'label'))

print(lupin3.nlp.getsim('sss',['sad','sda']))