alchemyst

import numpy as np
import time
from scipy.optimize import minimize, nnls
from cvxpy import *

np.random.seed(1)

""" Test-data generator """
def create_test_data(samples, features, noise, loc=10, scale=2.5):
    m = np.random.normal(loc=loc, scale=scale, size=(samples, features))