Is possible to have access to the features used in generations after selection, preprocessing and construction?

Hello, thanks for TPOT, is really amazing!

I was looking this information in other questions, no found yet,

TPOT execute Feature selection, preprocessing and construction according to the documentation:


Is it possible to have access to those finally selected features? even better, is possible to have them after each generation?

````
Generation 1 - Current best internal CV score: 0.88888....
Best pipeline so far: ...
Used features: ... (exported to a file PATH/TO/USED_FEATURES)

Generation 2 - Current best internal CV score: 0.88899....
Best pipeline so far: ...
Used features: ... (exported to a file PATH/TO/USED_FEATURES)
...
````

After executing the export:

`tpot.export('tpot_pipeline.py')`

It will produce the code:

```
...
tpot_data = np.recfromcsv('PATH/TO/DATA/FILE', delimiter='COLUMN_SEPARATOR', dtype=np.float64)
...
```

It means that separately we have to provide the data to the selected pipeline, instead of using the features used and generated by TPOT, is that Ok or am missing something?

Ideally (in my opinion), would be extraordinarily helpful for research propose, to know the best pipeline and features used after each generation. This could be used to analyze the progress improvement.

Thanks a lot for in advance.