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Hi :) I'm wondering what exactly are the freq mode and non-freq mode edge weight? Also, it seems to me non-freq is much slower than freq mode? (I always got stuck on "Building Cache") Thanks!
The text was updated successfully, but these errors were encountered:
Hi @xindi-dumbledore , the Freq mode produces the count of sub-sequences, and the non freq mode is the normalized probability of subsequences.
For example, for observations
A -> B
A -> B
A -> C
Freq mode gives you
A -> B: 2
A -> C: 1
non-freq mode gives you
A -> B: 0.666667
A -> C: 0.333333
Note that this doesn't impact the higher-order rule extraction. Under the hood, the rule extraction works on the normalized probabilities. This freq mode and non-freq mode are just convenience functions for formatting outputs.
It is weird that freq and non-freq mode would behave differently. Can you reproduce the behavior, by closing python and re-running from scratch again for both methods? Let me know if you still keep seeing issues.
Hi :) I'm wondering what exactly are the freq mode and non-freq mode edge weight? Also, it seems to me non-freq is much slower than freq mode? (I always got stuck on "Building Cache") Thanks!
The text was updated successfully, but these errors were encountered: