Mobile_price_prediction

End-to-end-Machine-Learning-Project-with-MLflow

Workflows

1. Update config.yaml
2. Update schema.yaml
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 app.py

How to run?

STEPS:

Clone the repository

https://github.com/Rajatgoel179/End_to_End_Mobile_Price_Prediction_with_mlflow

STEP 01- Create a conda environment after opening the repository

conda create -n mlproj python=3.8 -y

conda activate mlproj

STEP 02- install the requirements

pip install -r requirements.txt

# Finally run the following command
python app.py

Now,

open up you local host and port

MLflow

Documentation

cmd

• mlflow ui

dagshub

dagshub

MLFLOW_TRACKING_URI=https://dagshub.com/rajatgoel179/End_to_End_Mobile_Price_Prediction_with_mlflow.mlflow MLFLOW_TRACKING_USERNAME=rajatgoel179 MLFLOW_TRACKING_PASSWORD=afcc0cd2ead5d9b1ab9f24c4e7ef07e3abe30391 python script.py

Run this to set as env variables:

export  MLFLOW_TRACKING_URI=https://dagshub.com/rajatgoel179/End_to_End_Mobile_Price_Prediction_with_mlflow.mlflow

export MLFLOW_TRACKING_USERNAME=Rajatgoel179 

export MLFLOW_TRACKING_PASSWORD=afcc0cd2ead5d9b1ab9f24c4e7ef07e3abe30391