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feature/notebook
Michael Pilosov 3 years ago
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f6c2a1e630
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8361ddc30e
1 changed files with 1 additions and 1 deletions
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      main.py

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main.py
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@ -10,7 +10,7 @@ from scipy.stats import norm
def train(data): def train(data):
D = pd.DataFrame(data) D = pd.DataFrame(data)
sd = np.array([1.0, 0.25, 0.5, 0.1]) sd = np.array([1.0, 0.5, 0.2, 0.5])
D["qoi"] = D["obs"].apply(lambda o: np.sum(o, axis=0) / sd / np.sqrt(len(o))) D["qoi"] = D["obs"].apply(lambda o: np.sum(o, axis=0) / sd / np.sqrt(len(o)))
D["i"] = D["lam"].apply(lambda l: norm.pdf(l).prod()) D["i"] = D["lam"].apply(lambda l: norm.pdf(l).prod())
D["o"] = D["qoi"].apply(lambda q: norm.pdf(q).prod()) D["o"] = D["qoi"].apply(lambda q: norm.pdf(q).prod())

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