def __init__(self, **kwargs):
self.emb = kwargs['embedding_size']
del kwargs['embedding_size']
oldRNN.__init__(self, **kwargs)
self.settings['embedding_size'] = self.emb
valY = tensor.dvector('valY')
Ypredict = tensor.dvector('Ypredict')
valcost = self.cost(valY, Ypredict)
self.valcost = function([valY, Ypredict], valcost)
self.thresholds = np.linspace(.5, .8, 8)
