def __init__(self, d, batchsize, n_train_epoch, n_val_epoch, n_units, gpu):
self.d = d
self.batchsize = batchsize
self.n_train_epoch = n_train_epoch
self.n_val_epoch = n_val_epoch
self.n_units = n_units
self.optimizer = optimizers.Adam()
self.model = L.Classifier(MLP(self.d, self.n_units, 2))
if gpu:
self.model.to_gpu(0)
self.optimizer.setup(self.model)
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