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timmy revised this gist 10 months ago. Go to revision
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| 1 | + | #!/usr/bin/env python | |
| 2 | + | # -*- coding: utf-8 -*- | |
| 3 | + | ||
| 4 | + | ||
| 5 | + | """ | |
| 6 | + | a_simple_linear_regression_model.py: 透過使用 Python 的 sklearn 套件，訓練一個簡單的線性回歸模型，並使用該模型預測蘋果公司的股價變化。 | |
| 7 | + | ||
| 8 | + | Author: Timmy | |
| 9 | + | Copyright: Copyright 2022, Timmy | |
| 10 | + | License: MIT | |
| 11 | + | Version: 1.0 | |
| 12 | + | """ | |
| 13 | + | ||
| 14 | + | # 引入必要的模組 | |
| 15 | + | import numpy as np | |
| 16 | + | from sklearn.linear_model import LinearRegression | |
| 17 | + | ||
| 18 | + | # 載入蘋果公司的股價資料 | |
| 19 | + | apple = np.array([155, 156, 157]) | |
| 20 | + | ||
| 21 | + | # 計算資料筆數 | |
| 22 | + | n = len(apple) | |
| 23 | + | ||
| 24 | + | # 建立線性迴歸模型 | |
| 25 | + | model = LinearRegression().fit(np.arange(n).reshape((n, 1)), apple) | |
| 26 | + | ||
| 27 | + | # 預測第3、4天的股價 | |
| 28 | + | print(model.predict([[3], [4]])) | |
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