Fix data generation code

app.py

@@ -22,6 +22,9 @@ noise_standard_deviation = st.sidebar.slider('Standard deviation of the noise',
 cost_function = st.sidebar.radio('What cost function you want to use for the fitting?', options=('RMSE-Loss', 'Huber-Loss'))
 
 # Generate random data
+np.random.seed(2)
+
+w = jnp.array([3.0, -20.0, 32.0])  # coefficients                                    
 X = np.column_stack((np.ones(number_of_observations), 
                      np.random.random(number_of_observations)))
 X = jnp.column_stack((X, X[:,1] ** 2))   # add x**2 column