Another update from ingydotnet^djgoku

This commit is contained in:
Ingy döt Net 2015-11-18 06:14:39 +00:00
parent 91df62d461
commit 948b86eafa
7604 changed files with 108452 additions and 22726 deletions

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import numpy as np
height = [1.47, 1.50, 1.52, 1.55, 1.57, 1.60, 1.63,
1.65, 1.68, 1.70, 1.73, 1.75, 1.78, 1.80, 1.83]
weight = [52.21, 53.12, 54.48, 55.84, 57.20, 58.57, 59.93,
61.29, 63.11, 64.47, 66.28, 68.10, 69.92, 72.19, 74.46]
X = np.mat(height**np.arange(3)[:, None])
y = np.mat(weight)
print(y * X.T * (X*X.T).I)

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import numpy as np
height = [1.47, 1.50, 1.52, 1.55, 1.57, 1.60, 1.63,
1.65, 1.68, 1.70, 1.73, 1.75, 1.78, 1.80, 1.83]
weight = [52.21, 53.12, 54.48, 55.84, 57.20, 58.57, 59.93,
61.29, 63.11, 64.47, 66.28, 68.10, 69.92, 72.19, 74.46]
X = np.array(height)[:, None]**range(3)
y = weight
print(np.linalg.lstsq(X, y)[0])

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import numpy as np
from numpy.random import random
n=100; k=10
y = np.mat(random((1,n)))
X = np.mat(random((k,n)))
b= y * X.T * np.linalg.inv(X*X.T)
print(b)