Open JakubPex opened 9 months ago
Any update on this issue. Or is there way to overcome this error?
You can pre-compute average embedding yourself, (average pooling) and use just one embedding per label. This is how I did it. Embedding average-pooling is a common way to do it when PLDA is used. Remember to length-normalize the averaged embedding before scoring.
Describe the bug
When trying to run PLDA scoring of
StatObject_SB
instance containing non-unique models theAttributeError: 'StatObject_SB' object has no attribute 'mean_stat_per_model'
occurs.The
mean_stat_per_model()
method is not implemented.Expected behaviour
StatObject_SB
validity check shall be created inPLDA_LDA.fast_PLDA_scoring()
and informative message returned in case of not supported model set.mean_stat_per_model()
method shall be created.To Reproduce
No response
Environment Details
No response
Relevant Log Output
No response
Additional Context
No response