def loadLatestNeuralNetwork():
name = IO.getValuefromConfigfile('setting.json', 'latestNN')
nn = NeuralNetwork.DFF()
if name != None:
nn.loadfromFile(name)
else:
print('No latest NeuralNetwork')
return nn
def trainNeuralNetwork(MyNeuralNetwork):
error = float(input('Input target error(0.1)\n>>>'))
epochs = int(input('Input max epochs(-1)\n>>>'))
print('Getting Datas...')
Datas = IO.getDatas()
print('Datas getted')
if IO.getProfile(MyNeuralNetwork) == None:
print('You must have training profile first!')
editNeuralNetworkProfile(MyNeuralNetwork)
Profile = IO.getProfile(MyNeuralNetwork)
# Get Input/OutputData to matrix
if IO.getValuefromConfigfile('setting.json', 'Verbose') != None:
verbose = int(IO.getValuefromConfigfile('setting.json', 'Verbose'))
else:
verbose = p.VERBOSE_DEFAULT
if IO.getValuefromConfigfile('setting.json', 'Loop_per_N_times') != None:
loop = int(IO.getValuefromConfigfile('setting.json', 'Loop_per_N_times'))
else:
loop = p.VERBOSE_PER_LOOP_DEFAULT
# Setting from config file
TrainingType.trainbyBatch(MyNeuralNetwork, Datas, error, epochs, Profile, verbose, loop)
def getLatestNeuralNetworkName():
return IO.getValuefromConfigfile('setting.json', 'latestNN')
def listConfigfileValues():
print('Config list:')
print('[v] Verbose Level. -> ' +
str(IO.getValuefromConfigfile('setting.json', 'Verbose')))
print('[n] Verbose per "N" times. -> ' +
str(IO.getValuefromConfigfile('setting.json', 'Loop_per_N_times')))