JingweiToo / Wrapper-Feature-Selection-Toolbox-Python

This toolbox offers 13 wrapper feature selection methods (PSO, GA, GWO, HHO, BA, WOA, and etc.) with examples. It is simple and easy to implement.
BSD 3-Clause "New" or "Revised" License
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Using selected features with other Neural Network models like LSTM #7

Closed erendeliaslan closed 2 years ago

erendeliaslan commented 3 years ago

Hello Jing Wei. I have to say that was an amazing content for feature selection and maybe the best. I just want to ask you I am trying to make an hybridmodel with PSO and LSTM. I think your algorithm suits well. What do you think? Is itpossible to find features with using PSO (with the error that calculated by K-NN) and model with selected features by using LSTM.

JingweiToo commented 3 years ago

Possible, please refer to research articles.