def makeRandomDress(saveName, liked): randomArr = [] base = likesByComponent if liked else dislikesByComponent for c in base[:100]: mu = mean(c) sigma = standard_deviation(c) p = random.uniform(0.0, 1.0) num = inverse_normal_cdf(p, mu, sigma) randomArr.append(num) construct(randomArr, 'results/createdDresses/' + saveName)
def makeRandomDress(saveName, liked): randomArr = [] base = likesByComponent if liked else dislikesByComponent for c in base[:100]: mu = mean(c) sigma = standard_deviation(c) p = random.uniform(0.0, 1.0) num = inverse_normal_cdf(p, mu, sigma) randomArr.append(num) construct(randomArr, "results/createdDresses/" + saveName)
def make_random_dress(pca, save_name, liked): random_array = [] base = likesByComponent if liked else dislikesByComponent for c in base[:100]: mu = mean(c) sigma = standard_deviation(c) p = random.uniform(0.0, 1.0) num = inverse_normal_cdf(p, mu, sigma) random_array.append(num) construct(pca, random_array, 'results/createdDresses/' + save_name)