def predict_from_data_provider(self, data_provider, *args, **kwargs):
'''model prediction using data provider'''
raiseNotDefined()
def fit(self, *args, **kwargs):
'''fit model to data'''
raiseNotDefined()
def predict_from_memory_data(self, data, *args, **kwargs):
'''model prediction from data that already loaded into memory'''
raiseNotDefined()
def initilize(self, *args, **kwargs):
'''initialization of the model'''
raiseNotDefined()
def compile_functions(self, *args, **kwargs):
'''functions used only during training'''
raiseNotDefined()
def compile_model(self, *args, **kwargs):
'''functions may be used during both training and testing'''
raiseNotDefined()
def extract_feature_from_data_provider(self, data_provider, *args, **kwargs):
'''extract feature using data provider'''
raiseNotDefined()
def extract_feature_from_memory_data(self, data, *args, **kwargs):
'''extract feature from data that already loaded into memory'''
raiseNotDefined()
