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- from scipy.stats import multivariate_normal as multiNormal
- Pi1 = 0.8
- Mean1 = (-1, 0)
- Cov1 = ((1,0), (0,1))
- Pi2 = 0.2
- Mean2 = (4,0)
- Cov2 = ((2,-1), (-1,2))
- P = (-2, 6)
- P1 = Pi1*multiNormal.pdf(P, Mean1, Cov1) / (Pi1*multiNormal.pdf(P, Mean1, Cov1) + Pi2*multiNormal.pdf(P, Mean2, Cov2))
- P2 = 1 - P1
- print(P1, P2)
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