Predict lifestyle for a new species about lspred HOT 3 OPEN

@akiselev-lrsv Thanks a lot for your comment!
You don't need to assign it to any group, the model will do that for you. You just need to run the model on your annotation using the notebook lspred_testing.ipynb. Note that you need to have the input files in the table format from the genome-properties script. If you have further questions, please don't hesitate to get in touch!

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Thank you @danielzmbp ,
Where can I read about the output scores of the notebook lspred_testing.ipynb? And how to use to interpret the results?

[[0.00992905 0.00214383 0.10016803 0.8877591 ] [0.30474845 0.25972545 0.24817495 0.18735124]] ['saprotroph', 'necrotroph', 'hemibiotroph', 'biotroph']

Best.
Andrei

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@akiselev-lrsv

Where can I read about the output scores of the notebook lspred_testing.ipynb?

I'm not sure I understand the question. Do you mean what is the source of the examples?

And how to use to interpret the results?

Those are the probabilities for the four output classes. Meaning, the first one would be predicted biotroph, and the second one a saprotroph, but not as clearly as the first one. I will try to make this more explicit in the notebook.
Thanks again for your interest,
Daniel

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