def __init__(self, params, neuralFun, numEpochs, batchSize, imgSize):
self.params = params
self.params.imgSize = imgSize
self.trainResult = TrainResult()
self.trainData = []
self.labels = np.zeros((0))
self.batchSize = batchSize
self.numEpochs = numEpochs
self.neuralFun = neuralFun
def __init__(self, params, numCSP=4):
self.params = params
self.trainResult = TrainResult()
self.trainData = []
self.labels = np.zeros((0))
self.numCSP = numCSP
def __init__(self, params, customFreq):
self.params = params
self.customFreq = customFreq
self.trainResult = TrainResult()
self.trainData = []
self.labels = np.zeros((0))
def __init__(self, params, mode='Classic'): #modes: 'Classic', 'CustomFreqs', 'IndepChan'
self.params = params
self.mode = mode
self.trainResult = TrainResult()
self.trainData = []
self.labels = np.zeros((0))