Comments (2)
Thanks @vishaalkapoor I will give it a try :)
from predictive-maintenance-using-machine-learning.
This is an interesting suggestion. If you do want to modify the AWS Lambda function, you can edit transform_fn
in
source/notebooks/sagemaker_predictive_maintenance_entry_point/predictive_maintenance_entry_point.py
.
Then you can create a package to update Lambda by running build-s3-dist.sh
from the deployment
directory. You can update Lambda with the package created in deployment/dist
.
from predictive-maintenance-using-machine-learning.
Related Issues (10)
- slash in S3 bucket name. HOT 1
- Wrong explaintaion for inference result.
- NameError: name 'config' is not defined HOT 2
- can you share correct link to data pls HOT 5
- template file not found HOT 1
- Can't create transform job in Lambda function HOT 3
- IAM for Sagemaker Notebook Instance Execution role (from template) lack of access HOT 4
- Training job failed HOT 18
- Deploy yaml in us-east-1 reports error.
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from predictive-maintenance-using-machine-learning.