End-to-End-Chest-Cancer-Classification-using-MLflow-DVC - GitLite

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End-to-End-Chest-Cancer-Classification-using-MLflow-DVC

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- .gitignore
- config
- - main.yaml
- config.yaml
- model.h5
- 01_data_ingestion.ipynb
- 02_prepare_base_model.ipynb
- 03_model_trainer.ipynb
- 04_model_evaluation_with_mlflow.ipynb
- trials.ipynb
- - __init__.py
- index.html
.dvcignore
.gitignore
app.py
Dockerfile
dvc.lock
dvc.yaml
LICENSE
main.py
params.yaml
README.md
requirements.txt
scores.json
setup.py
template.py

# Use via CDN

jsDelivr

jsDelivr serves any public GitHub repository as a CDN with zero setup. Pick a version and a file to get a ready-to-paste link and snippet.

Version

File

Link

Example

Command Glossary

Commands referenced in this DOCs, explained below.

🔍

`apt-get`

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Debian and Ubuntu package management utility.
Search for packages using `apt-cache`.
It is recommended to use `apt` when used interactively in Ubuntu versions 16.04 and later.

sudo apt-get update

Update the list of available packages and versions (it's recommended to run this before other `apt-get` commands):

sudo apt-get install {{package}}

Install a package, or update it to the latest available version:

sudo apt-get remove {{package}}

Remove a package:

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`newgrp`

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Switch primary group membership.

newgrp {{group_name}}

Change user's primary group membership:

newgrp

Reset primary group membership to user's default group in `/etc/passwd`:

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`usermod`

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Modify a user account.
See also: `users`, `useradd`, `userdel`.

sudo usermod {{[-l|--login]}} {{new_username}} {{username}}

Change a username:

sudo usermod {{[-u|--uid]}} {{id}} {{username}}

Change a user ID:

sudo usermod {{[-s|--shell]}} {{path/to/shell}} {{username}}

Change a user shell:

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## 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](https://mlflow.org/docs/latest/index.html)

- [MLflow tutorial](https://youtube.com/playlist?list=PLkz_y24mlSJZrqiZ4_cLUiP0CBN5wFmTb&si=zEp_C8zLHt1DzWKK)

##### cmd
- mlflow ui

### dagshub
[dagshub](https://dagshub.com/)

MLFLOW_TRACKING_URI=https://dagshub.com/entbappy/chest-Disease-Classification-MLflow-DVC.mlflow \
MLFLOW_TRACKING_USERNAME=entbappy \
MLFLOW_TRACKING_PASSWORD=6824692c47a4545eac5b10041d5c8edbcef0 \
python script.py

Run this to export as env variables:

```bash

export MLFLOW_TRACKING_URI=https://dagshub.com/entbappy/chest-Disease-Classification-MLflow-DVC.mlflow

export MLFLOW_TRACKING_USERNAME=entbappy

export MLFLOW_TRACKING_PASSWORD=6824692c47a369aa6f9353c5b10041d5c8edbcef0

```

### DVC cmd

1. dvc init
2. dvc repro
3. 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