Hardcoded arguments for "Feature Extraction of DeLF"

[clungzta]

Thanks for the implementation!

In the readme, examples are provided of arguments being passed into the (1) train PCA and (2) extract dimension reduced DeLF steps. However, all the values are hardcoded in extract.py. Thus, the steps in the main README are somewhat misleading.

Is there specific resoning for hardcoding the extract parameters, but passing the train parameters?

I feel that it would be quite convenient to pass all extract parameters from cli.

[nashory]

Hi @clungzta,
There is no reason for the hardcoding. you are free to change the extractor.py file using python argparse so the parameters can be delivered via cli.
It would be grateful if you create pr.
Thanks!