But when I try to predict with this model ranking_scores = model.batch_predict(potential_interactions_loader, batch_size=1024), I have the following warning message:
& the prediction is constant:
I'm asking if it's due to the 2nd warning message during prediction.
N.B: it's not due to potential_interactions_loader because I obtain the same kind of issue trying to predict with valid_ranking_loader.
Expected behavior
Get probability of click, obtained in the past but impossible to reproduce without identified reason.
Bug description
After a training which seems to be ok, the ranking model predict constant.
Steps/Code to reproduce bug
This code produce the following output:
But when I try to predict with this model
ranking_scores = model.batch_predict(potential_interactions_loader, batch_size=1024)
, I have the following warning message:& the prediction is constant:
I'm asking if it's due to the 2nd warning message during prediction.
N.B: it's not due to
potential_interactions_loader
because I obtain the same kind of issue trying to predict withvalid_ranking_loader
.Expected behavior
Get probability of click, obtained in the past but impossible to reproduce without identified reason.
Environment details
notebook is run in a container from the following nightly image available here: nvcr.io/nvidia/merlin/merlin-tensorflow:nightly
in which the last version of merlin models is pulled.
Thanks.