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mlinterview's Introduction

Interview

Creating environment

The following will install virtualenv and creates environment

./create_env.sh

Using environment

  • Activating environment
. interview/bin/activate
  • Installing requirements
pip install -r requirements.txt

Reading Jupyter Notebook

jupyter notebook

Open interview.ipnyb

The ML webservice

server.py

Deploying pod

  • Installing kubernetes-cli
brew install kubernetes-cli
  • Checking kubectl
kubectl version
Client Version: version.Info{Major:"1", Minor:"12", GitVersion:"v1.12.2", GitCommit:"17c77c7898218073f14c8d573582e8d2313dc740", GitTreeState:"clean", BuildDate:"2018-10-30T21:40:58Z", GoVersion:"go1.11.1", Compiler:"gc", Platform:"darwin/amd64"}
  • Install Minikube
brew cask install minikube
  • Create POD
kubectl create -f pods/nginx.yml

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