7
votes
Does AWS Sagemaker continue running when I go offline?
I couldn't stay at work forever, so I left the Sagemaker notebook running, closed my computer and commuted home. That evening when I returned to my Sagemaker Notebook, the work had completed running ...
4
votes
Accepted
Difference between AWS amazonei_tensorflow and tensorflow conda environments
The amazonei environments are for use with the Amazon Elastic Inference accelerators. You can see this mentioned in the DLAMI README file:
...
2
votes
How to include lifecycle configuration in Sagemaker studio's user notebook
Original source
You can follow this tutorial:
https://modelpredict.com/sagemaker-stop-your-instances-when-idle/
Summary
Basically, you have to go to the notebook instance where you want to apply the ...
2
votes
Accepted
Deploying multiple pre-trained model (tar.gz files) on Sagemaker in a single endpoint
I also have been looking for answers regarding this before, and after several days of trying with my friend, we manage to do it. I attach some code snippet that we use, you may modify it according to ...
2
votes
upload model to S3
You can use pickle (or any other format to serialize your model) and boto3 library to save your model to s3.
To save your model as a pickle file you can use:
...
2
votes
Is it possible to work with AWS Sagemaker Studio Notebooks using a local IDE?
VSCode supports a client-server architecture where the server is remote and the client is local. The process is to set up a Visual Studio Code Server on AWS and then connect that remote instance to ...
2
votes
Accepted
Prompt Ops Alternatives
We use Langfuse to manage 100% of our prompts + us them for observability, evals, too.
Excellent product & the team is very responsive to requests and it's open source if you care about that: ...
1
vote
Is it possible to work with AWS Sagemaker Studio Notebooks using a local IDE?
The only approach that I have found to work is to use the sagemaker-ssh-helper. This uses AWS SSM + SSH along with VSCode's remote development extension.
1
vote
Accepted
Pandas On AWS Sagemaker
In my opinion, your question is composed of two parts :
How to run a processing job on a big AWS Sagemaker instance with more than 64GB of memory ?
How to run pandas in parallel ?
How to run a job ...
1
vote
How to fix Sagemaker's "No finished training job found associated with this estimator" error?
I think that you have to train your model first. To do that in sagemaker, you can do the following. I assume that you want to train a machine learning model without using a python script as an entry ...
1
vote
SageMaker - mini_batch_size what is it and why can't I get it higher than 5?
How many images do you have as input?
Maybe you haven't load the images as expected (seems about 30k).
Check if the download process has been done properly by getting the images'quantity.
Only top scored, non community-wiki answers of a minimum length are eligible
Related Tags
sagemaker × 27aws × 20
machine-learning × 7
python × 6
image-classification × 3
machine-learning-model × 3
data-science-model × 3
mlops × 3
keras × 2
tensorflow × 2
pandas × 2
training × 2
jupyter × 2
pipelines × 2
deep-learning × 1
scikit-learn × 1
time-series × 1
data-mining × 1
xgboost × 1
feature-engineering × 1
computer-vision × 1
supervised-learning × 1
named-entity-recognition × 1
gpu × 1
generative-models × 1