sagemaker-python-sdk
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aws
A library for training and deploying machine learning models on Amazon SageMaker
*Issue #, if available:* *Description of changes:* *Testing done:* ## Merge Checklist _Put an `x` in the boxes that apply. You can also fill these out after creating the PR....
*Issue #, if available:* *Description of changes:* The json schemas for `sagemaker-xgboost` versions `1.2-1`, `1.2-2`, `1.3-1`, and `1.5-1` do not have the fields `processors` and `py_versions`. This causes the function...
**Describe the bug** The usage of SageMaker Python SDK by one of my team's packages leads to a lot of deprecation warnings that all seem related to originate in https://github.com/aws/sagemaker-python-sdk/blob/master/src/sagemaker/amazon/record_pb2.py...
**Describe the bug** While Model / FrameworkModel's [prepare_container_def()](https://github.com/aws/sagemaker-python-sdk/blob/ace07d72f4f44c43fe95b05574968decc7e806ac/src/sagemaker/model.py#L483) supports ([here](https://github.com/aws/sagemaker-python-sdk/blob/ace07d72f4f44c43fe95b05574968decc7e806ac/src/sagemaker/model.py#L513)) manually configuring script mode environment variables for an existing `model.tar.gz` package, HuggingFaceModel's [override implementation](https://github.com/aws/sagemaker-python-sdk/blob/ace07d72f4f44c43fe95b05574968decc7e806ac/src/sagemaker/huggingface/model.py#L420) does not ([here](https://github.com/aws/sagemaker-python-sdk/blob/ace07d72f4f44c43fe95b05574968decc7e806ac/src/sagemaker/huggingface/model.py#L457)). User-configured `env={ "SAGEMAKER_PROGRAM",...
*Issue #, if available:* *Description of changes:* When using an S3 bucket with a policy that restricts PUT objects unless a kms key is specified, the creation of a processing...
*Issue #, if available:* *Description of changes:* *Testing done:* ## Merge Checklist _Put an `x` in the boxes that apply. You can also fill these out after creating the PR....
**Describe the feature you'd like** Today, local-mode endpoint deployment uses a [hard-coded health check time-out](https://github.com/aws/sagemaker-python-sdk/blob/ace07d72f4f44c43fe95b05574968decc7e806ac/src/sagemaker/local/entities.py#L44) of 120s for the container to become healthy. This does not appear to be consistent...
### Discussed in https://github.com/aws/sagemaker-python-sdk/discussions/2393 Currently, when capturing data for a scheduled Model Monitor job, the data inputs and outputs must be encoded using the same content type. Otherwise, the following...
Missing json error when trying to compile a semantic segmentation model (builtin algorithm) with Neo
**Describe the bug** Not sure if this is a bug or an unsupported feature. We've trained a semantic segmentation model, using the built in sagemaker semantic segmentation algorithm, (FCN with...
To reproduce/Code Snippet: from sagemaker.feature_store.feature_group import FeatureGroup from time import gmtime, strftime, sleep from random import randint import boto3 import sagemaker import pandas as pd import numpy as np import...
