problem with pandas

[Sirchko1]

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

[kdgutier]

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.