Closed GemmaTuron closed 1 year ago
Hello @GemmaTuron before I start refactoring this model, I ran prediction for C1=C(SC(=N1)SC2=NN=C(S2)N)[N+](=O)[O-] smile and I get the following output:
C1=C(SC(=N1)SC2=NN=C(S2)N)[N+](=O)[O-]
{ "input": { "key": "NQQBNZBOOHHVQP-UHFFFAOYSA-N", "input": "C1=C(SC(=N1)SC2=NN=C(S2)N)[N+](=O)[O-]", "text": "C1=C(SC(=N1)SC2=NN=C(S2)N)[N+](=O)[O-]" }, "output": { "outcome": [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0 ] } }
See the outcome above, I guess the predictions are meant to be in 0s and 1s in a list right? Just to be clear
Okay, they are since the output shape of the model is a List and the Output specified for the model is Boolean(either 0 or 1)
I think that works fine @emmakodes !
Hello @GemmaTuron I made a PR
Hello @GemmaTuron before I start refactoring this model, I ran prediction for
C1=C(SC(=N1)SC2=NN=C(S2)N)[N+](=O)[O-]
smile and I get the following output:See the outcome above, I guess the predictions are meant to be in 0s and 1s in a list right? Just to be clear