priyanshu9898/chest-cancer-classification

CT Scan Chest Cancer Classification using Deep learning, Transformers, mlflow, DVC, AWS

Chest-Cancer-Classification

CT Scan Chest Cancer Classification using Deep learning, Transformers, mlflow, DVC, AWS

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
10. app.py

How to run?

STEPS:

Clone the repository

git clone https://github.com/Prriyanshu9898/Chest-Cancer-Classification

STEP 01- Create a Python environment after opening the repository

python -m venv env

env\Scripts\activate

STEP 02- install the requirements

pip install -r requirements.txt

MLflow

• Documentation

• MLflow tutorial

cmd

• mlflow ui

dagshub

dagshub

MLFLOW_TRACKING_URI=https://dagshub.com/Priyanshu9898/Chest-Cancer-Classification.mlflow
MLFLOW_TRACKING_USERNAME=Priyanshu9898
MLFLOW_TRACKING_PASSWORD=1dc505ed931b2af16eacead37f82f256c16d99fe
python script.py

Run this to export as env variables:

export MLFLOW_TRACKING_URI=https://dagshub.com/Priyanshu9898/Chest-Cancer-Classification.mlflow

export MLFLOW_TRACKING_USERNAME=Priyanshu9898 

export MLFLOW_TRACKING_PASSWORD=1dc505ed931b2af16eacead37f82f256c16d99fe

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)