class LSTM(IClassifier):
def __init__(self, recorder=None, config=None, relative=""):
self.net = LSTMNet(config)
self.data = LSTMData(config, self.net)
self.train = LSTMTrain(config, self.net, self.data)
self.classifier = LSTMClassify(config, self.net)
#======================================================================
#=Interface methods====================================================
#======================================================================
def getName(self):
return NAME
def startTraining(self, args=[]):
self.train.train(args)
def classify(self, data):
self.classifier.classify(data)
def startValidation(self):
self.data.validate()
def load(self, filename=""):
self.net.load(filename)
def save(self, filename="", overwrite=True):
self.net.save(filename, overwrite)
def loadData(self, filename=""):
self.data.loadData(filename)
def saveData(self, filename=""):
self.data.saveData(filename)
def printClassifier(self):
self.net.printNetwork()
def __init__(self, recorder=None, config=None, relative=""):
self.net = LSTMNet(config)
self.data = LSTMData(config, self.net)
self.train = LSTMTrain(config, self.net, self.data)
self.classifier = LSTMClassify(config, self.net)