semisupervised/PseudoLabelSSL.py
def predict(self, X):
		"""
		return 1-dim nd.array, scalar value of prediction. 
		"""
		pred = self.model.predict(X, batch_size=self.batch_size, verbose=1)
		pred = np.argmax(pred, axis=1)
		return pred

		return 1-dim nd.array, scalar value of prediction. 
		
return 1-dim nd.array, scalar value of prediction.
return 1 - dim nd . array scalar value of prediction .
def predict(self, X):
		pred = self.model.predict(X, batch_size=self.batch_size, verbose=1)
		pred = np.argmax(pred, axis=1)
		return pred
def predict ( self , X ) : pred = self . model . predict ( X , batch_size = self . batch_size , verbose = 1 ) pred = np . argmax ( pred , axis = 1 ) return pred
return 1-dim nd.array, scalar value of prediction.
return 1 - dim nd . array scalar value of prediction .
"""
		return 1-dim nd.array, scalar value of prediction. 
		"""
self
X