Closed AVPokrovsky closed 1 month ago
@FernandoCarazoMelo
Hey @AVPokrovsky,
Thank you for using skforecast and for your insightful comment!
Currently, the create_and_compile
utility function does not support regularizers. The function includes the following layers: input > RNN_1 > RNN_2 > RNN_n > dense.
However, you can create any TensorFlow model and pass it to the forecasterRNN. In that model, you can use any regularizer or other RNN layers. You can easily follow the function template.
Also, if you have any ideas to improve the utility function, please feel free to contribute to the library!
Let me know if you have any other questions or suggestions.
@JoaquinAmatRodrigo , I believe this is already answered. This is not planned to be included in the short term.
Hi, can I set up Layer weight regularizers?
https://keras.io/2.15/api/layers/regularizers/