Closed ShibaPrasad closed 5 months ago
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 ]]] (4, 3, 2)
Solved
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)