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aricooperdavis
/ 3d_regression_example.py
Last active
February 2, 2024 13:13
Example of 3D plots illustrating Linear Regression with 2 features and 1 target
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| import matplotlib.pyplot as plt | |
| import numpy as np | |
| import sklearn.linear_model | |
| from mpl_toolkits.mplot3d import Axes3D | |
| X_train = np.random.rand(2000).reshape(1000,2)*60 | |
| y_train = (X_train[:, 0]**2)+(X_train[:, 1]**2) | |
| X_test = np.random.rand(200).reshape(100,2)*60 | |
| y_test = (X_test[:, 0]**2)+(X_test[:, 1]**2) |