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Hi there,
I'm trying out mutations on a DeepSequence model trained on BLAST_ECOLX.
What should be neutral mutations do not seem to give neutral results. For example:
data_helper.delta_elbo(ds_model,[], N_pred_iterations=500) gives 0.25998583984375045
data_helper.delta_elbo(ds_model,[], N_pred_iterations=500)
0.25998583984375045
I would expect this to be zero, and it is, approximately. But:
data_helper.delta_elbo(ds_model,[(126,"T","T")], N_pred_iterations=500) gives -4.7841062011718805
data_helper.delta_elbo(ds_model,[(126,"T","T")], N_pred_iterations=500)
-4.7841062011718805
I would also expect this to be zero. But it is not! Am I right in thinking this?
data_helper.delta_elbo(ds_model,[(126,"T","Q")], N_pred_iterations=500) gives -9.021644348144548
data_helper.delta_elbo(ds_model,[(126,"T","Q")], N_pred_iterations=500)
-9.021644348144548
which looks reasonable.
Also just to double-check, a higher score is better? Thanks!
The text was updated successfully, but these errors were encountered:
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Hi there,
I'm trying out mutations on a DeepSequence model trained on BLAST_ECOLX.
What should be neutral mutations do not seem to give neutral results. For example:
data_helper.delta_elbo(ds_model,[], N_pred_iterations=500)
gives0.25998583984375045
I would expect this to be zero, and it is, approximately. But:
data_helper.delta_elbo(ds_model,[(126,"T","T")], N_pred_iterations=500)
gives-4.7841062011718805
I would also expect this to be zero. But it is not! Am I right in thinking this?
data_helper.delta_elbo(ds_model,[(126,"T","Q")], N_pred_iterations=500)
gives-9.021644348144548
which looks reasonable.
Also just to double-check, a higher score is better? Thanks!
The text was updated successfully, but these errors were encountered: