Thank you, jack.
Unfortunately, that has not been my experience. Created a brand new Decipher IDP 2.3 environment, imported a rules-based .td file that was providing 99% accuracy on Decipher IDP 2.2. After manually data verifying 30+ documents into 2.3 we are still seeing only about 60% accuracy. The only difference between the 2.2 and 2.3 environment is that the 2.3 version is currently only provisioned with 8GB of RAM while the 2.2 version runs on 16GB of RAM.
Is there any chance that the difference in RAM could account for the poor results or was there some change in version 2.3 that causes the 2.2 training to no longer yield the same results as we see in 2.2?
There was a previously known issue here: https://docs.blueprism.com/bundle/decipher-idp-2-3/page/release-notes/rn-2.2.htm Decipher IDP 2.2: March 2023 Reference DEC-774 "An issue has been corrected where training data loaded into a Decipher IDP system which had been upgraded from 1.2 to 2.1 did not function as expected. Now, training data imported into upgraded systems works correctly."
My current issue is somewhat different in that this is NOT a IDP system that has been upgraded. My issue is a brand new 2.3 environment does NOT yield the same results as the 2.2 environment from the same rules-base .td file
