Questions tagged [aws]

Amazon Web Services (AWS) is a popular cloud computing service offered by Amazon.

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Why does my first Amazon sagemaker autogluon training job fail and keep failing?

I followed the instructions from this article about creating a code-free machine learning pipeline. I already had a working pipeline offline using the same data in TPOT (autoML). I uploaded my data to ...
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1answer
19 views

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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1answer
24 views

Alternative to EC2 for running ML batch training jobs on AWS

We are building an ML pipeline on AWS, which will obviously require some heavy-compute components including preprocessing and batch training. Most the the pipeline is on Lambda, but Lambda is known to ...
2
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1answer
319 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 ...
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0answers
16 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 ...
-2
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1answer
307 views

ImportError: Pandas requires version '0.3.0' or newer of 's3fs' [closed]

I'm trying to read files from S3, using boto3, pandas, anaconda, but I have the following error: ...
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0answers
120 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
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1answer
1k 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....
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1answer
250 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,...
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0answers
51 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 ...
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0answers
11 views

Real time visualization in AWS

I want to improve my current application. I am using redis using ElastiCache in AWS in order to store some user data from my website. This solution is not scalable and I want to scale it using Amazon ...
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2answers
670 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 ...
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0answers
12 views

Processing XML via StreamXmlRecordReader and Pig in parallel

I'm trying to process a single large XML file with many records and then parse each record in parallel using AWS EMR. ...
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0answers
39 views

Scalable test-to-control matching method needed for Amazon cloud environment

I'm working on a project to port some of my employer's processes from our local Unix servers to the Amazon cloud. One process matches records from a test group to records from a control group using ...
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0answers
19 views

Moving paper documents to cloud (AWS) - [closed]

I'm trying to solve a simple problem and seeking advise/suggestions - I have lot of paper documents in my drawers which I want to store on cloud (S3) as PDFs. My idea blueprint is - 1) scanning all ...
1
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1answer
56 views

Using Amazon Personalize to build a Recommendation System

I would like to build a recommendation system based only in the items metadata. I have an input vector with some desirable topics that the user want to read about, for example: (self-help, yoga, ...
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0answers
33 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 ...
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0answers
41 views

Word embedding microservices in the cloud

I would like to build nlp classifiers for various tasks such as sentiment analysis, topic modeling, name entity recognition etc. . I realized that most of them only involve simple logistic regression ...
3
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1answer
54 views

AWS : Workflow for deep learning

I am using my company computer since I don't have another one or linux. Therefore, I am starting to use cloud resources to perform some tasks. I have a very simple question: Since most cloud ...
2
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1answer
1k 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. ...
0
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1answer
43 views

Intermittent type error when running CNN inside Docker container

I've been working on a simple computer vision API with a few endpoints for grabbing useful information from ebay images. The API lives in a docker container that looks for the h5 files, downloads ...
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0answers
72 views

Where is $SPARK_HOME on an EC2 instance?

I am working on an EC2 instance with anaconda and pyspark pre-installed. My $SPARK_HOME variable is not set. Any ideas on how to locate my spark home?
3
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2answers
3k views

sklearn and pandas in AWS Lambda

I made a front end where I would like to make REST calls to an AWS Lambda interfaced with AWS API Gateway. I dumped my model as a pickle file (and so my encoders) which I initially trained locally. ...
1
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1answer
918 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 <...
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0answers
273 views

Should I remove the trend from timeseries when using DeepAR

I saw that for some other algorithms for timeseries data it is advised to remove trend and seasonality before doing the prediction (ex: ARIMA and LSTM) I figured out from the paper that SageMaker's ...
3
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2answers
3k views

Keras neural network entirely different results on two different hardwares (one is AWS)

I have a Keras model. which is defined as follows: ...
2
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2answers
2k views

AWS EC2 Segmentation Fault (core dumped) issue with fast-style-transfer

I'm trying to utilize AWS EC2 p2.xlarge instance to convert images using style-transfer code given in this git repo:https://github.com/lengstrom/fast-style-transfer.git, yet when the input file ...
1
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1answer
114 views

How can I split an image into rectangles?

I have a labelled form to which people will add their name and a series of numbers. They will then take a picture of the form. Like so: I can get decent results by simply sending this to AWS ...
1
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0answers
430 views

Get deepAR fit() metrics to python

I use deepAR RNN on AWS via python. I run the estimator.fit(inputs=data_channels) and want to get insight on the algorithm performance and the fit that the model ...
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2answers
285 views

deepAR RNN from AWS Sagemaker - should I clean the data first?

I test the Sagemaker AWS solution for RNN: deepAR. Previously I used sklearn for this and obviously I cleaned the data to avoid highly correlated time series (KBest,...
3
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2answers
2k views

How do I get the name of Sagemaker Estimator's job

I'm having a stumbling block with SageMaker. How do I know what my job name is? For example: ...
3
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1answer
3k views

Why is Amazon P2 instance cost much more than G3?

I'm currently looking for the correct number of 2018 budget for the AWS instances in preparation of more deep neural net training, but now a bit confused because of this chart below: p2.16xlarge ...
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0answers
74 views

Maximum Dimensionality of AWS Machine Learning

I am toying with AWS Machine Learning and I have a dataset with about 200 records with about 220,000 variables each. Apparently, AWS Machine Learning has a hard limit of 1000 variables. How can I ...
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2answers
5k views

Does any cloud service provide free GPU access?

Is there any cloud developer platform which provides free access to an NVIDIA GPU instance, maybe only for a limited trial period? I'd like to work on it before committing to a paid option. I have ...
3
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1answer
568 views

Using AWS ML to recommend products

I have millions of user ratings on about 2k products. I want to use Machine Learning to analyse these ratings and recommend products to users based on other users ratings of the same and different ...
4
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2answers
612 views

AWS machine learning prediction schema problems

I've trained an AWS Machine Learning model with the training data from here : https://www.kaggle.com/c/titanic/data I'm now trying to run a batch prediction with the test data from the same source ...
1
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1answer
711 views

How do I access data on my EBS Volume from R-Studio Server on Ubuntu EC2 Instance

I have setup R-Studio Server on an Ubuntu EC2 instance for the first time and successfully started r-studio server in my browser. I also have putty ssh client. How do I set path in r-studio server to ...
13
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5answers
19k views

Downloading a large dataset on the web directly into AWS S3

Does anyone know if it's possible to import a large dataset into Amazon S3 from a URL? Basically, I want to avoid downloading a huge file and then reuploading it to S3 through the web portal. I ...
0
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1answer
1k views

Can hadoop with Spark be configured with 1GB RAM

I'm trying to set up a cluster (1 namenode, 1 datanode) on AWS. I'm using free one year trial period of AWS, but the challenge is, instance is created with 1GB of RAM. As I'm a student, I cannot ...
6
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2answers
1k views

Processing data stored in Redshift

We're currently using Redshift as our data warehouse, which we're very happy with. However, we now have a requirement to do machine learning against the data in our warehouse. Given the volume of data ...
5
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3answers
432 views

What technologies are fastest at performing joins on large datasets?

By "large", I mean in the range of 100m to 10b rows. I'm currently using both Hadoop MapReduce and Amazon RedShift. MapReduce has been a little disappointing here. Redshift works very well if the ...
12
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3answers
3k views

Does Amazon RedShift replace Hadoop for ~1XTB data?

There is plenty of hype surrounding Hadoop and its eco-system. However, in practice, where many data sets are in the terabyte range, is it not more reasonable to use Amazon RedShift for querying ...
12
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3answers
2k views

Instances vs. cores when using EC2

Working on what could often be called "medium data" projects, I've been able to parallelize my code (mostly for modeling and prediction in Python) on a single system across anywhere from 4 to 32 cores....