(x, y)
| 24 | return model, ssler |
| 25 | |
| 26 | def LinearRegressionTraining(x, y) : |
| 27 | |
| 28 | model = LinearRegression() |
| 29 | |
| 30 | ssler = StandardScaler() |
| 31 | |
| 32 | ssler.fit(x) |
| 33 | |
| 34 | x = ssler.transform(x) |
| 35 | |
| 36 | print(x) |
| 37 | |
| 38 | model.fit(x, y) |
| 39 | |
| 40 | print(model.score(x, y)) |
| 41 | |
| 42 | return model, ssler |
| 43 | |
| 44 | def SVMTraining(x, y) : |
| 45 |