dotnet / dotnet/machinelearning-modelbuilder

Add target quality score to the train page

Open
#2,040 2 comments 0 reactions 1 assignee Claimed by @luisquintanilla View on GitHub
Stale
Dominant language
Dockerfile
Stars
285
Forks
66
PR merge metrics
No merged PRs in 30d

Description

**Is your feature request related to a problem? Please describe.**
There is only one visible parameter for the train process now, the `time to train` value.

**Describe the solution you'd like**
Now that we have many good quality indicators like `Accuracy`, `AUC`, `AUPRC`, `F1-score` for the trained models, it would be great to have a target quality score for the training, instead of just the maximum training time.
After this addition the user could define what his/her target - let's say - F1-score is, so the training could stop before the `time to train` timer expiration if that quality score is achieved.

**Describe alternatives you've considered**
I can now manually stop the training if I notice that the trained model is sufficient.

Contributor guide

No contributing guide indexed for this repository

Assessment

This issue has not been assessed yet.

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.