/make_blob.py
Created Aug 4, 2019
TestGist
| import numpy as np | |
| def make_blob_part(mean, cov, num_points=500): | |
| x, y = np.random.multivariate_normal(mean, cov, num_points).T | |
| return np.hstack((x.reshape(-1, 1), y.reshape(-1, 1))) | |
| mean1 = [-10, 10] | |
| mean2 = [-15, 5] | |
| mean3 = [-9, 3] | |
| cov1 = [[4, 0], [0, 3]] # diagonal covariance | |
| cov2 = [[2, 0], [0, 3]] # diagonal covariance | |
| cov3 = [[2, 0], [0, 3]] # diagonal covariance | |
| params = zip([mean1, mean2, mean3], [cov1, cov2, cov3]) | |
| blob = np.vstack([make_blob(x, y) for x, y in params]) |
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