def load_NN():
"""
Loads the Keras NN model for a user-trained metric.
"""
nn = KerasNN(name)
nn.load('../data/nns/{}.h5'.format(name))
return ('nn', nn)
def load_mp():
"""
Loads the Keras NN model for melting point.
"""
cnn_mp = KerasNN('mp')
cnn_mp.load('../data/nns/mp.h5')
return ('cnn', cnn_mp)
def load_bandgap():
"""
Loads the Keras NN model for H**O-LUMO energy
difference.
"""
cnn_bandgap = KerasNN('bandgap')
cnn_bandgap.load('../data/nns/bandgap.h5')
return ('cnn', cnn_bandgap)
def load_PCE():
"""
Loads the Keras NN model for Power Conversion
Efficiency.
"""
cnn_pce = KerasNN('pce')
cnn_pce.load('../data/nns/pce.h5')
return ('cnn', cnn_pce)