Hello I'm using the library for the first time and I have an issue. I splited my data into train, val and test After that I fit the LSTM model "model.fit(train_data_)" . But I'm getting an error when trying to evaluate the model p = model.predict(futr_df=eval_data_).reset_index() Here is a pic of the error message

Hi @Fidele Koffivi Gbagbe! The parameter

futr_df

is only to be used for the future exogenous covariates (see example in https://nixtla.github.io/neuralforecast/examples/exogenous_variables.html). You should use

df

to pass the usual dataset (with

y

and historic exogenous covariates), and the function will return the next

h

forecasts after the last date of

df

.