Cancer-classification-using-MLFlow-and-DVC

Workflows

Update config.yaml
Update secrets.yaml [Optional]
Update params.yaml
Update the entity
Update the configuration manager in src config
Update the components
Update the pipeline
Update the main.py
Update the dvc.yaml

dagshub

MLFLOW_TRACKING_URI=https://dagshub.com/saitarak.padarthi/Chest-Cancer-classification-using-MLFlow-and-DVC.mlflow
MLFLOW_TRACKING_USERNAME=saitarak.padarthi
MLFLOW_TRACKING_PASSWORD=4cfc1ddecc00c42e181171252afa41da361a2078
python script.py

Run this to export as env variables:

export MLFLOW_TRACKING_URI=https://dagshub.com/saitarak.padarthi/Chest-Cancer-classification-using-MLFlow-and-DVC.mlflow

export MLFLOW_TRACKING_USERNAME=saitarak.padarthi 

export MLFLOW_TRACKING_PASSWORD=4cfc1ddecc00c42e181171252afa41da361a2078

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: 533267231738.dkr.ecr.us-east-1.amazonaws.com/chest

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 = eu-north-1

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

ECR_REPOSITORY_NAME = simple-app

saitarak/Chest-Cancer-classification-using-MLFlow-and-DVC