mrgloom

import numpy as np
from matplotlib import pyplot as plt
from scipy.optimize import fmin_l_bfgs_b as bfgs
from scipy.io import loadmat

class params:
    
    '''
    A wrapper around weights and biases
    for an autoencoder

mrgloom

from numpy import loadtxt, zeros, ones, array, linspace, logspace
from pylab import scatter, show, title, xlabel, ylabel, plot, contour


#Evaluate the linear regression
def compute_cost(X, y, theta):
    '''
    Comput cost for linear regression
    '''
    #Number of training samples