Henry
Any update? our project need this package to be strongly named as well...
Thanks @twcclegg, I'm not an expert in this area, but I feel like there is a misunderstanding of that MS documentation. 1. It first recommends people strongly name their package....
same null pointer error on zingg:0.4.0 from docker img
> For anyone who just wants to get their training data: > > ```python > MODEL_PATH: str = "{your model folder}/{your model ID}" > OUTPUT_PATH: str = "output.csv" > >...
> Interesting. I like the idea. You can already use the service fields to join them but it wouldn't be nice to have to do that for all the fields/types...
Interesting, if I modify my `var request = new object();` just into `var request = "test";` the testing will pass...  is that Moq can not handle type "object"?
so I trained the model with 60K records first, and runner the match with 60K. Everything works and the results is accurate. labelDataSampleSize for 60K records is 0.1. Number of...
Oh, I forgot to mention. After I switched to 2.7m, I reruned few round of "findandLabel" and retrain the model as well. Then I started the match
Yes, each record has 15 fields. all these fields are nullable. I do have quite many records that only have value for 2 fields (firstName, phone) then rest 13 fields...
yes, they are important if they have a value. Like (SIN number, DOB, email address etc)