Amazon SageMaker is a fully-managed AWS service that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale.
Questions tagged [sagemaker]
23 questions
7
votes
1 answer
Does AWS Sagemaker continue running when I go offline?
I'm pulling data from web services in an AWS Sagemaker Notebook.
I'd like to be able to close my computer for an hour, reconnect my computer and see that the data collection has continued to run.
Additionally, I'd like my notebook's kernel…
the_cat_lady
- 271
- 2
- 8
3
votes
2 answers
upload model to S3
I'm using AWS Sage Maker to build my model. I want to store the model in S3 for later use. How do you save your model in S3 with Amazon Sage Maker? I know this seems trivial but I didn't understand the sources/documentation I've read.
Laurent
- 53
- 1
- 4
2
votes
1 answer
How to include lifecycle configuration in Sagemaker studio's user notebook
I want to use lifecycle configuration in Sagemaker studio so that on start of user's notebook it runs the given lifecycle configuration.
My lifecycle configuration will have shell script which will launch cronjob having python script to send…
sparkingmyself
- 21
- 3
2
votes
2 answers
IDE for Machine Learning workflow - AWS SageMaker
Looks like we don't really use an IDE in any of Machine Learning workflow stages if we use AWS SageMaker.
Entire work is done in jupyter notebook. Is this correct?
NewDev
- 145
- 1
- 6
2
votes
1 answer
How to fix Sagemaker's "No finished training job found associated with this estimator" error?
I ran a complete AWS SageMaker Autopilot experiment. I now want to generate batch forecasts using this model but I get the error: "No finished training job found associated with this estimator. Please make sure this estimator is only used for…
cona
- 21
- 2
1
vote
1 answer
What is the benefit of training an ML model with an AWS SageMaker Estimator?
It looks like there are different routes to deploying an ML model on SageMaker. You can:
pre-train a model, create a deployment archive, then deploy
create an estimator, train the model on SageMaker with a script, then
deploy
My question is: are…
Nick Koprowicz
- 213
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- 10
1
vote
0 answers
How can I prepare my discrete batches of data for training?
I'm trying to calculate effect of parameters of an operation on the thickness of a wall.
Each operation is thinning the wall thickness and at some point the wall is replaced and operation starts again.
My operational parameters are changing daily…
Oncel Umut TURER
- 111
- 1
1
vote
0 answers
not getting point predictions from sagemaker clarify
I wanted to create shap values for my predictions in sagemaker. I found out that I can use "clarify" functionality in sagemaker to get shap values. However, I want to get point predictions as well. The bias config in clarify can include a prediction…
Fatima
- 71
- 3
1
vote
2 answers
Deploying multiple pre-trained model (tar.gz files) on Sagemaker in a single endpoint
We have followed the following steps:
Trained 5 TensorFlow models in local machine using 5 different training sets.
Saved those in .h5 format.
Converted those into tar.gz (Model1.tar.gz,...Model5.tar.gz) and uploaded it in the S3…
Subh2608
- 13
- 1
- 4
1
vote
1 answer
AWS SageMaker Model as endpoint size limit
Is there a size limit imposed on models deployed on AWS SageMaker as endpoints? I first tried to deploy a simple TensorFlow/Keras Iris classification model by converting to protobuf, tarring the model, and deploying. The size of the tarred file was…
Allen Wu
- 13
- 3
1
vote
0 answers
Sagemaker - XGBOOST rank:ndcg
Does anyone know if the rank:ndcg is available on AWS Sagemaker? I am currently trying to run a model, but it seems like it's not implemented. Am I using an older xgboost version? Kinda new to AWS Sagemaker, so if you have any tutorials/docs, shoot…
Robert
- 23
- 2
1
vote
0 answers
Integrate SageMaker notebook instances into development flow
I often get stuck by the calculation time when I work on a model locally. Even sampling quite heavily sometimes still let the running times very long. Ideally, these times must be of the order of the second. Otherwise it makes experimenting a bit…
louisD
- 11
- 1
1
vote
1 answer
Difference between AWS amazonei_tensorflow and tensorflow conda environments
In AWS SageMaker there are several Conda environments available based on different ML frameworks:
conda info -e
I would like to know the difference between a tensorflow and an amazonei_tensorflow environment.
Javide
- 177
- 7
1
vote
1 answer
Is it possible to work with AWS Sagemaker Studio Notebooks using a local IDE?
Is it possible to work with AWS Sagemaker Studio Notebooks using an IDE such as VSCode or PyCharm/IntelliJ running on my local machine?
And if yes, how?
Ideally I'd like to want to connect to the Sagemaker-managed Jupyter kernel from my local IDE,…
florian
- 111
- 1
1
vote
0 answers
Docker File AWS
I am trying to implement a docker file for Amazon Sagemaker Container,in initial step i am following this link
https://towardsdatascience.com/brewing-up-custom-ml-models-on-aws-sagemaker-e09b64627722
In above link's section "Creating Your Own Docker…
user172500
- 31
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