/Chest-Disease-Classification-from-Chest-CT-Scan-Image

Primary LanguageJupyter NotebookMIT LicenseMIT

Chest-Disease-Classification-from-Chest-CT-Scan-Image

Workflows

  1. Update config.yaml
  2. Update params.yaml
  3. Update the entity
  4. Update the configuration manager in src config
  5. Update the components
  6. Update the pipeline
  7. Update the main.py
  8. Update the dvc.yaml

Live matarials docs

link

Git commands

git add .

git commit -m "Updated"

git push origin main

How to run?

conda create -n chest python=3.8 -y
conda activate chest
pip install -r requirements.txt
python app.py

Mlflow dagshub connection uri

MLFLOW_TRACKING_URI=https://dagshub.com/entbappy/Chest-Disease-Classification-from-Chest-CT-Scan-Image.mlflow \
MLFLOW_TRACKING_USERNAME=entbappy \
MLFLOW_TRACKING_PASSWORD=6824692c47a369aa6f9eac5b10041d5c8edbcef0 \
python script.py

RUN from bash terminal

export MLFLOW_TRACKING_URI=https://dagshub.com/entbappy/Chest-Disease-Classification-from-Chest-CT-Scan-Image.mlflow

export MLFLOW_TRACKING_USERNAME=entbappy 

export MLFLOW_TRACKING_PASSWORD=6824692c47a369aa6f9eac5b10041d5c8edbcef0

DVC cmd

  1. dvc init
  2. dvc repro
  3. dvc dag