ML packages are in deploying state for a long time and ML Skill also getting failed

[Rudhresh_tamil]

I’m tried to extract a data from unstructured document (Prescription) for that I have labeled 44 documents and exported to AI center.

1. I have created the ML package (Out of the box packages-> Document understanding->Document understanding) it’s in deploying state for last one day. Not throwing any error

2. Then I created pipeline it’s successful.

3. ML skills are in failed state. Error message - Kubernetes operation failed to create deployment Prescription_ML_Skills

Please provide a solution for this. Thanks in advance.

[pravallikapaluri]

Hi @Rudhresh_tamil

Check the Below thread

AI Center - ML Skill Failed / Kubernetes operation failed to create deployment

Hi, We do not select the option (Make this an Evaluation Set) while importing your documents if you want to run your pipeline as Train run. [image] Make Sure that, the pipeline will be run based on the Data set Import. If you Choose as Evaluation set, The pipeline will get success only if you choose Evaluation run. The Suggested way is - to use Train run to improve your ML Skill and the evaluation run does not improve your ML Skill. Error Occurred : Resolved ML Skill Failed / Kubernete…

[Rudhresh_tamil]

Hi @pravallikapaluri, thanks for replying. I didn’t select the (Make this an Evaluation Set) while importing but still I’m getting the error.