2022 Nov 14 1:04 PM
Hello,
I'm trying to use 'Predicted Delivery Processing Delay (PRDTDELIVPROCGDELAY)' and train the ML, but the train keeps failing saying ' We've noticed your training dataset has very few records'.
As I've already created more than 14,000 S/O and follow-up document such as outbound deliveries and PGI/billing were done, I don't think this is the dataset record issue. For Delivery Creation Delay Scenario which is under the same SD_Predicted_Delivery package, this scenario counts the dataset records between 14,000-15,000.
Is there anything I should do to train this ML scenario??
Thank you in advance
Hello,
I'm trying to use 'Predicted Delivery Processing Delay (PRDTDELIVPROCGDELAY)' and train the ML, but the train keeps failing saying ' We've noticed your training dataset has very few records'.
As I've already created more than 14,000 S/O and follow-up document such as outbound deliveries and PGI/billing were done, I don't think this is the dataset record issue. For Delivery Creation Delay Scenario which is under the same SD_Predicted_Delivery package, this scenario counts the dataset records between 14,000-15,000.
Is there anything I should do to train this ML scenario??
Thank you in advance
| User | Count |
|---|---|
| 4 | |
| 3 | |
| 1 | |
| 1 | |
| 1 | |
| 1 | |
| 1 | |
| 1 |