sunnysavita10/ml-project-with-docker-mlflow-and-dagshub

this is my end to end project

first initialize the git

git init

git add abc.txt
git add .

git commit -m "this is my first commit"

git pull

bash your_file_name.sh

python setup.py install

another way you can mention -e . in your requirement file and you can run

pip install -r requirements.txt

MLflow

Documentation

local cmd

• mlflow ui

dagshub

dagshub

MLFLOW_TRACKING_URI=https://dagshub.com/sunny.savita/fsdsmendtoend.mlflow
MLFLOW_TRACKING_USERNAME=sunny.savita
MLFLOW_TRACKING_PASSWORD=3c2c8cd1436ad32b510cfdd84944a528ba4fb650
python script.py

Run this to export as env variables:

export MLFLOW_TRACKING_URI=https://dagshub.com/sunny.savita/fsdsmendtoend.mlflow

export MLFLOW_TRACKING_USERNAME=sunny.savita

export MLFLOW_TRACKING_PASSWORD=3c2c8cd1436ad32b510cfdd84944a528ba4fb650

DVC cmd

• dvc init
• dvc repro
• dvc dag