Closed AVPokrovsky closed 1 week ago
Hi @AVPokrovsky ,
The create_and_compile_model
function creates all the logic for your RNN forecaster model.
lags
and steps
are independent of recurrent_units
and dense_units
. The general rule is that the more steps you want to predict, the more model parameters you need. Both recurrent_units
and dense_units
increase the number of parameters. You need to iterate by examining the model's learning curve and checking for overfitting, as shown in the documentation.
Ок
Hi, when I set up create_and_compile_model parameters recurrent_units and dense_units, should I consider someway my lags and steps values? Is there any rules or recommendations?