def MakeModel():
checkpoint_path = '/tmp/' + str(datetime.datetime.now())
optimizer = keras.optimizers.Adam(lr=0.0006,
beta_1=0.96,
beta_2=0.99999,
epsilon=1e-2)
descriptor = 'Final training of model'
filefmt = 'weights.Epoch-{epoch:03d};Loss-{val_loss:.6f}.hdf5'
#Model = ML.SimpleModel(Train_data,optimizer)
Model = ML.ModularModel(Train_data, optimizer, layers=4, nodes=4 * 256)
History = ML.TrainModel(Model,
Train_data,
Train_label,
EPOCHS=500,
min_delta=0.0,
patience=20,
PERIOD=0,
BATCH=45,
val_data=tuple([Test_data, Test_label]),
checkpoint_path=checkpoint_path,
file_name=filefmt,
Descriptor=descriptor)
ML.PlotHistory(
History,
save_path=checkpoint_path.replace('.', ':').replace(':', '-') + '/')
Predictions = ML.Predict(Model, Test_data)
grph.PlotHistory(
Predictions, Test_label,
os.getcwd().replace('\\', '/') +
checkpoint_path.replace('.', ':').replace(':', '-') + '/')
grph.PlotHistory2018(
Predictions, Test_label,
os.getcwd().replace('\\', '/') +
checkpoint_path.replace('.', ':').replace(':', '-') + '/')
grph.PlotHistoryDiff(
Predictions, Test_label,
os.getcwd().replace('\\', '/') +
checkpoint_path.replace('.', ':').replace(':', '-') + '/')
grph.PlotHistory2018percent(
Predictions, Test_label,
os.getcwd().replace('\\', '/') +
checkpoint_path.replace('.', ':').replace(':', '-') + '/')
Offset = Predictions - Test_label
OffsetP = Offset / Test_label * 100
return History, Model, OffsetP, Offset
