What is the key difference between training, testing and deploying machine learning algorithms in SageMaker’s notebooks vs SageMaker’s containers? I do not completely understand the different use cases for both alternatives, when it is appropriate to use one over the other. At a first glance, structuring a whole ML project using Docker containers seem more ..
I try to follow the steps of the tutorial An introduction to deep learning on remote sensing images (Tutorial) using OTBTF library. My normalisation is made using two Radar images (vv and vh polarities). I run otbtf_PatchesExtraction to extract patches of size 16×16. I then so expect to have as input of my model a ..
I am new to docker. I am trying to create a docker image for my ml model which uses flask. I have correctly set up a virtual environment and downloaded all the required packages in it. Using opencv-python was giving the error so I remove it installed opencv-contrib-python-headless but doesn’t work at all. Also it ..
I am wondering to find some limitations on what will happen if today I am running preparing docker container (Kubernetes) with Spark for advanced machine learning and if I can use the same after 10 years to reproduce the same results? For example: Can I use the same versions for Kubernetes/docker/spark/python/MLcode after 10 years? Is ..
I have this machine learning model working on my local machine so when i run python model_inference.py path/to/model path/to/wav/file passing a pytorch and wav file i get my output printed to the console. I want to dockerize this so i can deploy it via aws lambda container image so someone can pass in an audio ..
I have 2 docker images first docker image using tensorflow and because of which the complete memory is being utilized. As the complete memory is being utilized by running my first docker image I’m unable to run the second docker image. I request anayone could please help me in running the two docker images at ..
I have an application with the following folder structure: -Code -Done -Error -Input -Model -Output -Dockerfile The code runs in the "Code" folder and generates output and places it in "Output" folder. FROM python:3 WORKDIR ./ ADD ./Code/* /Code/ ADD ./Model/* /Model/ ADD ./Input/* /Input/ ADD ./Output/* /Output/ ADD ./Done/* /Done/ ADD ./Error/* /Error/ RUN ..
I have installed Ubuntu 20.04 on WSL2 on a Windows 10 (Dev Channel, Build 21390) In order to work with GPU-optimized containerized images for a Machine Learning project, I followed this guide . As stated in the guide: "NVIDIA Container Toolkit does not yet support Docker Desktop WSL 2 backend. Note: For this release, install ..
I am using MLflow in ML pipeline to deploy the models on sagemaker. The project was deployed on ECS-EC2 container. AssignPublicIp has to be enabled to use ECS Exec for accessing container. When enabled is used for assignPublicIP with EC2 launch type getting below error. An error occurred (TargetNotConnectedException) when calling the Execute Command operation: ..
Developed a xgboost regressor model and dockerized it and deployed it in kubernetes cluster. This works as expected. The same dockerized model when I deploy in kubernetes gives a same prediction value as 0.5 all the time for different inputs. Source: Docker..