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November 10, 2017 15:59
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Code Snippets for Medium blog post
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| def predict_over_time(x, y, z, overlay=False): | |
| "Predicts a quantity at times = 0, 1, ... 14" | |
| out = np.zeros((x.shape[0], 15)) | |
| for t in range(15): | |
| out[:, t] = t * x ** 2 + y - 2 * z - 2 * t | |
| adj = 1.5 if overlay else 1.0 | |
| return adj * out |
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