ML Model and BP release notes template
Model Release Note |
|
|---|---|
Use Case Name |
Invoice IE Use Case |
Model Name |
IE model with custom feature extractors |
Release Date |
1/15/2017 |
Type |
Classification or IE |
[Binary model] Model code |
|
[Binary model] Experiment Group |
|
[Binary model] Experiment ID |
|
[Binary model] Model Version |
|
Features/Items/Fixes included in the release |
#1, #2 issues are fixed |
Model Accuracy/Precision/Recall on test data (filled in by ML engineer), Training/Test Set size |
Accuracy: 87% Precision: 91% Recall: 70% Training set: 1000 Test: 200 |
Model Precision/Recall on unseen data (UAT test) |
|
Deployment environments |
Dev/UAT/PROD |
Issues/Limitations |
#2 p.3 will be fixed in the next release |
| Automation BP Release Note | |
|---|---|
| Use Case Name | Invoice IE Use Case |
| BP Name | Automation: Invoice IE Use Case BP v1.1 |
| Original and Automation BP URLs | |
| Release Date | 1/15/2017 |
| Features/Items/Fixes included in the release | #1, #2 issues are fixed |
| Deployment environments | Dev/UAT/PROD |
| Issues/Limitations | #2 p.3 will be fixed in the next release |
| Original BP |