clustering_unseen_keras.py

# create new random points
X_new = np.zeros((100,2))
X_new[:,0] = np.random.uniform(-3, 3, 100)
X_new[:,1] = np.random.uniform(-1, 4, 100)
Y_new = model_cl.predict_proba(X_new)
Y_new_label = np.argmax(Y_new, axis=1)

for cloud in clouds:
    i = np.where(Y_new_label==cloud['label'], True, False)
    plt.scatter(X_new[i][:,0], X_new[i][:,1], marker=cloud['marker'], color=cloud['color'], label=cloud['label'])
plt.xlabel('x')
plt.ylabel('y')
plt.title('prediction on unseen random data')
plt.legend();