Alex Thewsey
Alex Thewsey
For organizations that [sign git commits with GPG](https://docs.github.com/en/authentication/managing-commit-signature-verification/about-commit-signature-verification), it would be helpful if GPG was installed in the SageMaker distribution by default? For now, I've got it working by adding...
When creating a new fork/branch in Amplify (therefore a new stack), newly registering users don't seem to be receiving their verification codes to email initially. This seems to be because...
Each user needs the appropriate IoT policy attached to their Cognito *identity* to have access to the notifications service... However the only hooks available to us are on Cognito *user*...
I'm trying to `sm-docker build` a container derived from SageMaker Scikit-Learn framework container in `ap-southeast-1`, something like the following: ```python base_docker_uri = sagemaker.image_uris.retrieve( sagemaker.sklearn.defaults.SKLEARN_NAME, smsess.boto_region_name, version="0.23-1", instance_type="ml.m5.xlarge", ) # 121021644041.dkr.ecr.ap-southeast-1.amazonaws.com/sagemaker-scikit-learn:0.23-1-cpu-py3...
**Issue #, if available:** Stop-gap for missing containers mentioned in #13, but doesn't provide the requested CLI input feature **Description of changes:** Conditionally log in to the appropriate ECR accounts...
From my investigations into #2, I saw that sm-docker is zipping and uploading the current folder, not the target folder, when a target is given. E.g: ```sh sm-docker build ./docker...
I'm attempting to get [this sample](https://github.com/aws-samples/amazon-sagemaker-analyze-model-predictions) (which builds a container image from notebook in the "Define a SageMaker Model Monitor schedule" section) running in SageMaker Studio, using the new CLI....
Perhaps some Pandas behaviour changed? But currently the following line in notebook *1 Autopilot and XGBoost.ipynb*: ```python df_model_data = pd.get_dummies(df_model_data) # Convert categorical variables to sets of indicators ``` ...is...
### Feature request We already provide example shell commands to invoke and test training scripts for all variants of the [migration challenge](https://github.com/aws-samples/sagemaker-101-workshop/tree/main/migration_challenge). For example [from SKLearn](https://github.com/aws-samples/sagemaker-101-workshop/blob/58ad6f83eeabf978b72f5ca85c0a11b776fc116e/migration_challenge/sklearn_cls/Instructions.ipynb): ``` !python3 src/main.py \...
Not sure yet whether it's worth it for the use-cases shown in this workshop, but we could consider adding: ```python import sagemaker_datawrangler ``` To enable the [built-in notebook data preparation...