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I am getting -ve values in the " conditional probabilities table" - after applying label_model.get_conditional_probs(). (snorkel LF)
I am not sure why it will be -ve. (though my end-to-end flow working fine)
Hello All,
I am getting -ve values in the " conditional probabilities table" - after applying label_model.get_conditional_probs(). (snorkel LF)
I am not sure why it will be -ve. (though my end-to-end flow working fine)
[[[-0.0461843 0.2952323 ]
[ 0.99900001 0.67258263]
[ 0.04718433 0.03218511]]
[[-0.00505793 0.29819989]
[ 0.99900001 0.69790399]
[ 0.00605786 0.0038961 ]]
[[-0.00505793 0.29819989]
[ 0.99900001 0.69790399]
[ 0.00605786 0.0038961 ]]
[[-0.00505793 0.29819989]
[ 0.99900001 0.69790399]
[ 0.00605786 0.0038961 ]]]
(4, 3, 2)
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