INNER CODE UNIT · Python

like_post1_count

tuangauss/DataScienceProjects · Python/lincoln_estimate.py:17

        like_post1_count = sum(like_post_1)
        like_post2_count = sum(like_post_2)
        overlap = np.sum(like_post_1 & like_post_2)
        
        naive_estimates.append(like_post1_count + like_post2_count - overlap)
        if overlap > 0:
            lincoln_estimates.append(like_post1_count*like_post2_count / float(overlap))
    
    return naive_estimates, lincoln_estimates

def calc_stats(arr):
    return (
            np.mean(arr),
            np.std(arr, ddof=1),
            np.mean(arr) - 1.96*np.std(arr, ddof=1),
            np.mean(arr) + 1.96*np.std(arr, ddof=1)
           )

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