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facebookresearch / Kats

Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.
MIT License
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AttributeError: 'LSTMForecast' object has no attribute 'hidden_cell' #184

Closed wjddd closed 2 years ago

wjddd commented 2 years ago

I‘ve encountered this error:

Traceback (most recent call last): File "/home/kats/kats_prediction.py", line 214, in fcst_df = predict_lstm(ts) File "/home/kats/kats_prediction.py", line 53, in predict_lstm fcst = lstm.predict(steps=60) File "/home/miniconda3/envs/kats/lib/python3.7/site-packages/kats/models/lstm.py", line 236, in predict test_inputs.append(self.model(seq).item()) File "/home/miniconda3/envs/kats/lib/python3.7/site-packages/torch/nn/modules/module.py", line 1102, in _call_impl return forward_call(*input, **kwargs) File "/home/miniconda3/envs/kats/lib/python3.7/site-packages/kats/models/lstm.py", line 95, in forward lstm_out, self.hidden_cell = self.lstm(input_seq.view(len(input_seq), 1, -1), self.hidden_cell) File "/home/miniconda3/envs/kats/lib/python3.7/site-packages/torch/nn/modules/module.py", line 1178, in getattr type(self).name, name)) AttributeError: 'LSTMForecast' object has no attribute 'hidden_cell'

My torch version is 1.10.0

Could you please help me with this?