aws/sagemaker-python-sdk issues and pull requests

#5300 - Autogluon 1.4 support?

Issue - State: open - Opened by fcoppey about 1 month ago
Labels: type: question, component: autogluon

#5023 - Support of Hydra’s CLI override mechanism

Issue - State: closed - Opened by discort 9 months ago - 6 comments
Labels: type: question, component: training

#4904 - Specifying a code location in ProcessingStep should be optional

Issue - State: closed - Opened by system123 about 1 year ago - 4 comments
Labels: type: question, component: pipelines

#4765 - ModelStep name includes "-RegisterModel" suffix

Issue - State: closed - Opened by david-waterworth over 1 year ago - 2 comments
Labels: type: question, component: pipelines

#4590 - Custom Job Prefixing Fails with TransformJobName Not Specified Error

Issue - State: closed - Opened by lazem over 1 year ago - 3 comments
Labels: type: question, component: pipelines

#4246 - Use of `source_dir` argument for `FrameworkProcessor` disables step caching functionality

Issue - State: closed - Opened by francisco-camargo about 2 years ago - 2 comments
Labels: type: question, component: pipelines

#4225 - `RegisterModel` fail with Framework = 'None' when provided with Huggingface Estimator and Model but not ECR image URI directly

Issue - State: closed - Opened by Adamwgoh about 2 years ago - 5 comments
Labels: type: question, Pending information, component: pipelines

#4204 - Setting `code_location` of an Estimator to a ParameterString results in an Exception

Issue - State: closed - Opened by david-waterworth about 2 years ago - 4 comments
Labels: type: question, component: pipelines

#4139 - Model.register is failing when I pass a ParameterString for model_package_group_name

Issue - State: closed - Opened by rawwar about 2 years ago - 4 comments
Labels: type: question, component: pipelines

#3971 - Sagemaker Processors base_job_name argument not working when used with sagemaker pipelines

Issue - State: closed - Opened by j99ca over 2 years ago - 11 comments
Labels: type: question, component: pipelines

#3888 - Exception: 'ProcessingStep' object is not iterable

Issue - State: closed - Opened by aravinddeveloper over 2 years ago - 2 comments
Labels: type: question, Pending information, component: pipelines

#3879 - DataConfig: no way to parameterize s3_analysis_config_output_path using Sagemaker Pipeline parameters

Issue - State: closed - Opened by maslick over 2 years ago - 3 comments
Labels: type: question, Pending information, component: pipelines

#3733 - Adding tag support for Sagemaker pipeline

Issue - State: closed - Opened by toytown over 2 years ago - 2 comments
Labels: type: question, component: pipelines

#3712 - Issue with registration of a SageMaker model

Issue - State: closed - Opened by Kedharkb over 2 years ago - 2 comments
Labels: type: question, component: pipelines

#3642 - PropertyFile for ProcessingStep using FrameworkProcessor and step_args not recognized.

Issue - State: closed - Opened by carlryn almost 3 years ago - 4 comments
Labels: type: question, component: pipelines

#3376 - Deploying Huggingface model into ml.inf1.xlarge succeeded, but ml.inf1.2xlarge failed

Issue - State: closed - Opened by tagucci about 3 years ago - 5 comments
Labels: bug, type: question, component: neo, HuggingFace, Neo

#3360 - Sagemaker: AttributeError: 'LocalSagemakerClient' object has no attribute 'create_feature_group'

Issue - State: open - Opened by akramIOT about 3 years ago - 1 comment
Labels: bug, type: question, Local Mode

#3341 - I keep get request_body as bytearray on sagemaker

Issue - State: closed - Opened by LiJell about 3 years ago - 1 comment
Labels: type: question

#3026 - Which permissions are needed to allow us to use the NetworkConfig for processing Jobs?

Issue - State: open - Opened by JimFawkes over 3 years ago - 1 comment
Labels: type: question, type: documentation, component: processing

#2638 - Sagemaker rlestimator - deployment endpoint giving different prediction than evaluation

Issue - State: closed - Opened by troybvo about 4 years ago - 2 comments
Labels: type: question

#2630 - Deploying to endpoints using Tensorflow containers require either framework_version or image_uri

Issue - State: closed - Opened by Adith13294 about 4 years ago - 1 comment
Labels: type: question, type: documentation

#2621 - Unable to reproduce mAP scores on object detection

Issue - State: open - Opened by vadthyavath about 4 years ago
Labels: type: question

#2617 - Cannot Deploy Endpoint

Issue - State: closed - Opened by ujjawalmadan about 4 years ago - 2 comments
Labels: bug, type: question, component: hosting

#2600 - KMS key is not being passed while creating endpoint configuration when using automl.deploy()

Issue - State: closed - Opened by Tarun02 about 4 years ago - 2 comments
Labels: type: question

#2590 - init() got an unexpected keyword argument 'instance_count' when using Estimator

Issue - State: closed - Opened by haochuaws about 4 years ago - 2 comments
Labels: type: question

#2465 - Weird model quadruplication when deploying pytorch inference model

Issue - State: closed - Opened by johann-petrak over 4 years ago - 1 comment
Labels: type: question, PyTorch

#2436 - Can't Import Sagemaker

Issue - State: closed - Opened by colts183281 over 4 years ago - 2 comments
Labels: type: question

#2284 - Load model failed: model, error: Worker died. when deploying estimator

Issue - State: closed - Opened by tbass134 over 4 years ago - 2 comments
Labels: type: question

#2250 - Pytorch deployment expects string for image_uri but still gives TypeError

Issue - State: closed - Opened by ballcap231 over 4 years ago - 2 comments
Labels: type: question, PyTorch

#2177 - Inquiry: model_monitoring/create_monitoring_schedule job frequency issue

Issue - State: closed - Opened by zhangchi1 over 4 years ago - 3 comments
Labels: type: feature request, type: question, type: documentation, component: hosting

#2175 - With sagemaker2.x not able to get tensorflow_distributed_mnist_neo_inf1.ipynb working in jupyter lab

Issue - State: closed - Opened by aws-vrnatham over 4 years ago - 2 comments
Labels: bug, type: question, Tensorflow, Neo

#2046 - Python SDK v2.20.0 throwing error `'application/octet-stream' not supported (caused by KeyError)` when sending json request to DeepAR endpoint

Issue - State: closed - Opened by larkz almost 5 years ago - 3 comments
Labels: type: question

#2020 - Cannot create multiple model endpoints in local mode

Issue - State: closed - Opened by pwerth almost 5 years ago - 2 comments
Labels: type: feature request, type: question, type: documentation

#1990 - Sagemaker always try to create default bucket, even the custom default_bucket is already exists

Issue - State: closed - Opened by Basanti-xian about 5 years ago - 14 comments
Labels: type: question

#1989 - After upgrading to 2.x SDK, i'm seeing `Blazing Text Prediction Error: TypeError: string indices must be integers`

Issue - State: closed - Opened by cfregly about 5 years ago - 3 comments
Labels: type: question

#1986 - XGBoost Tutorial but with error

Issue - State: closed - Opened by bilative about 5 years ago - 3 comments
Labels: type: question, XGBoost

#1975 - amazon-sagemaker-bert-pytorch failed to run

Issue - State: open - Opened by yzhang-github-pub about 5 years ago - 11 comments
Labels: type: question, PyTorch

#1971 - ModelError: An error occurred (ModelError) when calling the InvokeEndpoint operation: Received client error (400) from model with message "{ "error": "Failed to process element: 0 of 'instances' list. Error: Invalid argument: JSON Value:

Issue - State: closed - Opened by SanjuktaBiswal about 5 years ago - 3 comments
Labels: type: question, Tensorflow

GitHub / aws/sagemaker-python-sdk issues and pull requests