None identical results from differents run #525
Replies: 4 comments
-
Many od algorithms have built in randomness |
Beta Was this translation helpful? Give feedback.
0 replies
-
Oh ok, Is there a way to remove or reduce the effect of the randomness ? |
Beta Was this translation helpful? Give feedback.
0 replies
-
it depends on algorithms, knn lof is deterministic. isolation forest is not |
Beta Was this translation helpful? Give feedback.
0 replies
-
Ok thank you for your anwser, I will look into that. |
Beta Was this translation helpful? Give feedback.
0 replies
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
-
I am running a benchmark for evaluating the best algorithm to use for my application, but I cannot get twice the same result from running the benchmark two times in a row.
Does it have somethings in the algorithm that could be related to that ? or are you able to get repetitive results from algorithms in pyOD ?
Thanks for you feedback.
Beta Was this translation helpful? Give feedback.
All reactions