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更新 第8章 回归

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jiangzhonglian
2017-09-19 19:18:36 +08:00
parent 7a644ec4bd
commit f7a092d1d6
2 changed files with 4 additions and 3 deletions
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3
docs/8.预测数值型数据：回归.md
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@@ -11,7 +11,7 @@
回归的目的是预测数值型的目标值。最直接的办法是依据输入写出一个目标值的计算公式。
假如你想要预测姐姐男友汽车的功率大小，可能会这样计算:
假如你想要预测兰博基尼跑车的功率大小，可能会这样计算:
HorsePower = 0.0015 * annualSalary - 0.99 * hoursListeningToPublicRadio
@@ -88,6 +88,7 @@ HorsePower = 0.0015 * annualSalary - 0.99 * hoursListeningToPublicRadio
数据格式为:
```
x
1.000000 0.067732 3.176513
1.000000 0.427810 3.816464
1.000000 0.995731 4.550095

4
src/python/8.PredictiveNumericalDataRegression/regression.py
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@@ -584,9 +584,9 @@ def regression5():
if __name__ == "__main__":
# regression1()
regression1()
# regression2()
# abaloneTest()
# regression3()
regression4()
# regression4()
# regression5()