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.

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Pandas On AWS Sagemaker

Hello Guys i have a question We want to start working with AWS Sagemaker. I understand that i can open Jupiter notebook and work like it was in my computer. but i know pandas working on single ...
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How Can I Process SageMaker Ground Truth NER JSON Output into DataFrame?

So, I've recently created a job using AWS SageMaker Ground Truth for NER purposes, and have received an output in the form a manifest file. I'm now trying to process the manifest file into a dataframe,...
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Docker File AWS [closed]

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 ...
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Training a DeepAR time series model with monthly data. Can only train on Daily

I am training a DeepAR model (arXiv) in Jupyter Notebook. I am following this tutorial. I create a collection of time series (concat_df), as needed by the DeepAR ...
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COVID-19 Rapid Test Result Image Detection

I fine-tuned an Inception V3 model provided in AWS SageMaker to detect COVID-19 Rapid Test Results (see the image below for an example). I provided about 20 pictures of negative and about 20 pictures ...
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When to tune hyperparameters in deep learning

I am currently playing around with different CNN and LSTM model architectures for my multivariate time series classification problem. I can achieve validation accuracy of better than 50 %. I would ...
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122 views

OOM memory after kernel restart, was working before

Ran my CNN on a SageMaker notebook and it started training, but I had to restart the kernel due to AWS disconnecting. However when I tried to rerun my code, I received an OOM error, and it never ...
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622 views

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. ...
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SageMaker - mini_batch_size what is it and why can't I get it higher than 5?

I'm following this tutorial but I keep getting the error: "The number of input images must be bigger or equal to the mini_batch_size." I've tried a series ...
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Keras training output

I am currently training images for classification. Initially I was using a local machine with a decent GPU. The number of training images is around 3561. I used a batch size of 64. The output during ...
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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 ...
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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....
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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 ...
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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 ...
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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....
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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?
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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,...
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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 ...
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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 ...
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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 ...
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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. ...
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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 <...
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