Assign inducing inputs by clustering
iter=1/150, e=-806.238, mlpd=-0.00329, rmse=0.08678, de=Inf
iter=11/150, e=1628.618, mlpd=1.341, rmse=0.01701, de=0.53808
iter=21/150, e=1638.118, mlpd=1.352, rmse=0.01603, de=0.92957
iter=31/150, e=1644.276, mlpd=1.354, rmse=0.01486, de=0.00041356
iter=41/150, e=1648.648, mlpd=1.357, rmse=0.01436, de=0.6143
iter=51/150, e=1650.748, mlpd=1.353, rmse=0.01441, de=0.011609
iter=61/150, e=1653.303, mlpd=1.357, rmse=0.01386, de=0.69366
iter=71/150, e=1654.098, mlpd=1.356, rmse=0.01392, de=0.73379
iter=81/150, e=1655.407, mlpd=1.362, rmse=0.01336, de=0.15758
iter=91/150, e=1656.587, mlpd=1.362, rmse=0.01348, de=0.83295
iter=101/150, e=1657.672, mlpd=1.362, rmse=0.01369, de=0.55494
iter=111/150, e=1658.012, mlpd=1.359, rmse=0.01341, de=0.028293
iter=121/150, e=1659.574, mlpd=1.362, rmse=0.0132, de=0.37814
iter=131/150, e=1660.190, mlpd=1.361, rmse=0.01289, de=0.43749
iter=141/150, e=1660.848, mlpd=1.361, rmse=0.01271, de=0.026303
Iteration limit 150 reached while optimising the parameters
Final values:
e=1660.428, mlpd=1.362, rmse=0.01325
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Demo completed in 1.108 minutes
