Exemplo n.º 1
0
	def __init__(self, learning_rate=0.1, train="keys_Training.sdo",
			cv="keys_CV.sdo", test="keys_Test.sdo"):
		print "Loading data sets"
		self.train_data = Network.parseSdo(SoundDataObject.loadSdo(train))
		self.cv_data = Network.parseSdo(SoundDataObject.loadSdo(cv))
		self.test_data = Network.parseSdo(SoundDataObject.loadSdo(test))
		print "Done loading"
		self.build_mlp(learning_rate, len(self.train_data["Y"][0]))
Exemplo n.º 2
0
 def __init__(self,
              learning_rate=0.1,
              train="keys_Training.sdo",
              cv="keys_CV.sdo",
              test="keys_Test.sdo"):
     print "Loading data sets"
     self.train_data = Network.parseSdo(SoundDataObject.loadSdo(train))
     self.cv_data = Network.parseSdo(SoundDataObject.loadSdo(cv))
     self.test_data = Network.parseSdo(SoundDataObject.loadSdo(test))
     print "Done loading"
     self.build_mlp(learning_rate, len(self.train_data["Y"][0]))
from sound_data_object import SoundDataObject
from sound_syns import SoundSyns

sdo = SoundDataObject("test")
sdo.save()

newSdo = SoundDataObject.loadSdo("test")