Alessandro Cere

Results 10 issues of Alessandro Cere

**Link to the notebook** [https://github.com/aws/amazon-sagemaker-examples/blob/main/reinforcement_learning/bandits_recsys_movielens_testbed/bandits_movielens_testbed.ipynb](https://github.com/aws/amazon-sagemaker-examples/blob/main/reinforcement_learning/bandits_recsys_movielens_testbed/bandits_movielens_testbed.ipynb) **Describe the bug** The notebook uses an [hardcoded image URI](https://github.com/aws/amazon-sagemaker-examples/blob/45a9c967e917c20b243c82f2771fff4d7e9d3f7a/reinforcement_learning/bandits_recsys_movielens_testbed/bandits_movielens_testbed.ipynb?short_path=9d6777c#L299) . THis is unnecessary, and prevents running the notebook in regions different than `us-west-2`. The...

**Describe the feature you'd like** When I register a model created with any of the [Framework Models](https://sagemaker.readthedocs.io/en/stable/api/inference/model.html#sagemaker.model.FrameworkModel) I don't need to repeat the framework and version (necessary to enable inference...

component: pipelines

**Describe the bug** Registering a model using SageMaker SDK `model.register()` without specifying `inference_instances` and `transform_instances` fails with the following error: ```python ParamValidationError: Parameter validation failed: Invalid type for parameter InferenceSpecification.SupportedRealtimeInferenceInstanceTypes,...

bug
component: pipelines

**Link to the notebook** [Train an TensorFlow model with a SageMaker Training Job and track it using SageMaker Experiments](https://github.com/aws/amazon-sagemaker-examples/blob/main/sagemaker-experiments/sagemaker_job_tracking/tensorflow_script_mode_training_job.ipynb) **Describe the bug** When executing the notebook the model training (8th...

**Describe the bug** When creating a pipeline combining steps defined using `@step` and `sagemaker.clarify.ModelConfig()` the compilation results in `AttributeError: 'NoneType' object has no attribute 'sagemaker_session'`. This make it hard to...

type: feature request
component: pipelines
component: clarify

*Issue #, if available:* #27 and #18 *Description of changes:* - Added relevant metadata to model package in SageMaker model registry to enable single-click inference recommender - Add sample lineage...

Amazon SageMaker Model Monitor is now supported for Batch Transform jobs ([announcement](https://aws.amazon.com/about-aws/whats-new/2022/10/amazon-sagemaker-model-monitor-batch-transform-jobs/)), and this should be the recommended way to implement modle monitoring for batch use cases.

The default AmazonSageMakerExecution is missing permissions to list and delete the stacks created by the SageMaker project. In particular, it is missing the following: ``` "cloudformation:DeleteStack" "cloudformation:DescribeStacks" ``` The default...

**Is your feature request related to a problem? Please describe.** Bedrock is not currently available in many AWS regions, and not all regions have access to all the models and...

enhancement

From the [package description](https://aws-sdk-pandas.readthedocs.io/en/stable/about.html): >Easy integration with Athena, Glue, Redshift, Timestream, OpenSearch, Neptune, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).