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README.md 1.3 KB

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Kidney-Disease-Classification

How to run?

STEPS:

Clone the repository

https://github.com/AzizKorbi/Kidney-Disease-Classification/tree/main

STEP 01- Create a conda environment after opening the repository

conda create -n cnncls python=3.8 -y
conda activate cnncls

MLflow

cmd
  • mlflow ui

dagshub

dagshub

MLFLOW_TRACKING_URI=https://dagshub.com/AzizKorbi/Kidney-Disease-Classification.mlflow MLFLOW_TRACKING_USERNAME=AzizKorbi MLFLOW_TRACKING_PASSWORD=5f77627c20b6fd4a3554a071d61ce51a044afb10 python script.py

Run this to export as env variables:


export MLFLOW_TRACKING_URI=https://dagshub.com/AzizKorbi/Kidney-Disease-Classification.mlflow

export MLFLOW_TRACKING_USERNAME=AzizKorbi 

export MLFLOW_TRACKING_PASSWORD=5f77627c20b6fd4a3554a071d61ce51a044afb10

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)
Tip!

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