Open Sirchko1 opened 1 year ago
Hi @Sirchko1,
We are currently centering our efforts in the NeuralForecast library. We are yet to include the ESRNN
but it is among our priorities.
We recommend to switch towards NeuralForecast, in the meantime. Among the available models we have: MLP
, RNN
, LSTM
, NBEATS
, NHITS
, and TFT
.
Hello. When i used: y_hat_df = model.predict(X_test_df) i get the next issue: ValueError: You are trying to merge on object and datetime64[ns] columns. If you wish to proceed you should use pd.concat So, i tried to downgrade pandas to 0.25.2 and the issue remains. I can not either run the example for training and use model.fit(X_train_df, y_train_df) instead. Can I modify the ESRNN.py and replace the merge with another sequence?
I'm sorry for my english and thanks