Chest-Cancer-Classification-using-MLOPS

Workflows

1. Update config.yaml
2. Update secrets.yaml [Optional]
3. Update params.yaml
4. Update the entity
5. Update the configuration manager in src config
6. Update the components
7. Update the pipeline
8. Update the main.py
9. Update the dvc.yaml

MLflow

Documentation

  MLflow tutorial

cmd

mlflow ui

dagshub

dagshub

MLFLOW_TRACKING_URI=https://dagshub.com/rahulkumar7759/Chest-Cancer-Classification-using-MLOPS.mlflow MLFLOW_TRACKING_USERNAME=rahulkumar7759 MLFLOW_TRACKING_PASSWORD=4a0e85b75d773a5c657426f17d1a8490861c4f3c python script.py

Run this to export as env variables:

set MLFLOW_TRACKING_URI=https://dagshub.com/rahulkumar7759/Chest-Cancer-Classification-using-MLOPS.mlflow

set MLFLOW_TRACKING_USERNAME=rahulkumar7759

set MLFLOW_TRACKING_PASSWORD=4a0e85b75d773a5c657426f17d1a8490861c4f3c

DVC cmd

dvc init dvc repro dvc dag

About MLflow & DVC

MLflow

Its Production Grade Trace all of your expriements Logging & taging your model

DVC

Its very lite weight for POC only lite weight expriements tracker It can perform Orchestration (Creating Pipelines)

AWS-CICD-Deployment-with-Github-Actions

1. Login to AWS console.
2. Create IAM user for deployment

with specific access

1. EC2 access : It is virtual machine

2. ECR: Elastic Container registry to save your docker image in aws

Description: About the deployment

1. Build docker image of the source code

2. Push your docker image to ECR

3. Launch Your EC2

4. Pull Your image from ECR in EC2

5. Lauch your docker image in EC2

Policy:

1. AmazonEC2ContainerRegistryFullAccess

2. AmazonEC2FullAccess

3. Create ECR repo to store/save docker image

• Save the URI: 566373416292.dkr.ecr.us-east-1.amazonaws.com/chicken

4. Create EC2 machine (Ubuntu)
5. Open EC2 and Install docker in EC2 Machine:

optinal

sudo apt-get update -y

sudo apt-get upgrade

#required

curl -fsSL https://get.docker.com -o get-docker.sh

sudo sh get-docker.sh

sudo usermod -aG docker ubuntu

newgrp docker 6. Configure EC2 as self-hosted runner: setting>actions>runner>new self hosted runner> choose os> then run command one by one 7. Setup github secrets: AWS_ACCESS_KEY_ID=

AWS_SECRET_ACCESS_KEY=

AWS_REGION = us-east-1

AWS_ECR_LOGIN_URI = demo>> 566373416292.dkr.ecr.ap-south-1.amazonaws.com

ECR_REPOSITORY_NAME = simple-app