Questions tagged [sagemaker]

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.

Filter by
Sorted by
Tagged with
0
votes
0answers
6 views

How to handle features containing strings in XGBoost in AWS Sagemaker

How can i handle the string containing spaces and colons as a feature for my xgboost classifier model? AWS Sagemaker requires the input in csv format, I don't know how to convert the string to the ...
0
votes
0answers
9 views

Development on Sagemaker takes a long time

I have created a notebook in sagemaker and a python script called my_script.py. I then train a model using the following command: ...
0
votes
1answer
9 views

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 ...
1
vote
0answers
10 views

not getting point predictions from sagemaker clarify [closed]

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 ...
0
votes
0answers
34 views

How to feed in the bounding box annotations to MobileNet (preferably v3) for training using keras?

I am trying to train an object detection model using transfer learning with MobileNet as the base model in AWS sagemaker. (The answer doesn't have to related to sagemaker. I can manage to add it if I ...
0
votes
0answers
64 views

ML Pipeline on AWS SageMaker: How to create long-running query/preprocessing tasks

I'm a software engineer transitioning toward machine learning engineering, but need some assistance. I'm currently using AWS Lambda and Step Functions to run query and preprocessing jobs for my ML ...
1
vote
1answer
664 views

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....
1
vote
1answer
70 views

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?
0
votes
0answers
17 views

Schedule Sagemaker with boto3 comprehend

I have a jupyter notebook running on SageMaker which I have to run daily to output CSV files. I am using boto3 'comprehend' to analyze the text in my workflow. I want to be able to schedule this daily ...
1
vote
1answer
178 views

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,...
1
vote
0answers
49 views

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 ...
0
votes
0answers
304 views

Not able to deploy saved model into AWS Sagemaker

I am following this article https://machinelearningmastery.com/how-to-perform-object-detection-with-yolov3-in-keras/ to deploy YOLOv3 inside the AWS Sagemaker. I have the model.weights having weights ...
1
vote
2answers
97 views

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 ...
1
vote
0answers
31 views

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 ...
1
vote
1answer
714 views

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. ...
1
vote
1answer
778 views

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 <...