All Content tagged with Amazon SageMaker Pipelines
Amazon SageMaker Pipelines is the first purpose-built, easy-to-use continuous integration and continuous delivery (CI/CD) service for machine learning (ML). With SageMaker Pipelines, you can create, automate, and manage end-to-end ML workflows at scale.
Content language: English
Filter content
Select tags to filter
Sort by
Sort by most recent
74 results
Sandip SamantaEXPERT
published 12 days ago0 votes62 views
Amazon SageMaker Unified Studio (SMUS) projects often fail when they move from exploration to production-adjacent machine learning (ML) pipelines. Larger instance types and non-interactive runs expose...
Below is my Code Snippet from Pipeline.
# Step 3: Model Evaluation
evaluation_processor = SKLearnProcessor(
framework_version="0.23-1",
instance_type="ml.m5.xlarge",
inst...
asked a year ago
Hi,
I'm working on to create an SageMaker Pipeline with two processing phases in a jupyter notebook. In the phases, my goal is to process files with an generative ai model.
When I run my pipeline crea...
I am trying to train a SageMaker built-in KMeans model on data stored in RecordIO-Protobuf format, using the Pipe input mode. However, the training job fails with the following error:
```
UnexpectedSt...
Hi, I am using Sagemaker TrainingJob and it fails when it tries to upload the mode artifact to a bucket that has objectlock enabled.
It throws this error:
ClientError: Artifact upload failed:Error 7:...
asked 2 years ago
Hello,
I am creating the pipeline using aws sage maker visual studio editor, I have the input file placed in s3 and pointed to container path "/opt/ml/processing/input". and output also i ma saving i...
I am following these docs (https://docs.aws.amazon.com/sagemaker/latest/dg/processing-container-run-scripts.html) to Run a script with my own processing container (I need to download a few custom pack...
I am trying to launch a sagemaker pipeline and running into an issue where the container cannot detect the py script that's being launched.
Basic set up:
- A docker container thats been registered i...
Hi all, is it possible to incorporate SageMaker Data Wrangler as a step in SageMaker Pipelines? So that every time the SageMaker Pipelines gets triggered, it starts with sagemaker data wrangler job fi...
asked 3 years ago
I am currently working on a kmeans clustering algorithm for my dataset.
Currently what i have done is to creating a preprocess.py that preprocess my data and stores it in s3 bucket.and train step fu...
Does sagamaker pipeline support , sending success/failure of the pipeline execution ? I want to see if I can trigger a aba notification when the pipeline completes either with success or failure .
I'm a complete noob with Sagemaker, coming here with AzureML experience. I was very comfortable and liked building ML pipelines with the CLI in AzureML. I've found that Sagemaker has a similar pipel...