Another update from ingydotnet^djgoku
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Task/Multiple-regression/Python/multiple-regression-1.py
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Task/Multiple-regression/Python/multiple-regression-1.py
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import numpy as np
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height = [1.47, 1.50, 1.52, 1.55, 1.57, 1.60, 1.63,
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1.65, 1.68, 1.70, 1.73, 1.75, 1.78, 1.80, 1.83]
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weight = [52.21, 53.12, 54.48, 55.84, 57.20, 58.57, 59.93,
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61.29, 63.11, 64.47, 66.28, 68.10, 69.92, 72.19, 74.46]
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X = np.mat(height**np.arange(3)[:, None])
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y = np.mat(weight)
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print(y * X.T * (X*X.T).I)
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Task/Multiple-regression/Python/multiple-regression-2.py
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Task/Multiple-regression/Python/multiple-regression-2.py
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import numpy as np
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height = [1.47, 1.50, 1.52, 1.55, 1.57, 1.60, 1.63,
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1.65, 1.68, 1.70, 1.73, 1.75, 1.78, 1.80, 1.83]
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weight = [52.21, 53.12, 54.48, 55.84, 57.20, 58.57, 59.93,
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61.29, 63.11, 64.47, 66.28, 68.10, 69.92, 72.19, 74.46]
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X = np.array(height)[:, None]**range(3)
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y = weight
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print(np.linalg.lstsq(X, y)[0])
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import numpy as np
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from numpy.random import random
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n=100; k=10
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y = np.mat(random((1,n)))
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X = np.mat(random((k,n)))
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b= y * X.T * np.linalg.inv(X*X.T)
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print(b)
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