def h_theta(self, theta, x_features):
"""
This is the logistic function that uses the sigmoid
"""
h_theta = LinearRegressor.h_theta(self, theta, x_features)
return 1.0 / (1 + np.power(np.e, -h_theta))
def h_theta(self, theta, x_features):
"""
This is the logistic function that uses the sigmoid
"""
h_theta = LinearRegressor.h_theta(self, theta, x_features)
return 1.0 / (1 + np.power(np.e, -h_theta))
