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)
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)