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Reshma 9646cefecc
Model evaluation with mlfow added-error fixed
1 month ago
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prepare base model added
2 months ago
ec3e80a6f7
mlflow added but bugs are there
2 months ago
9646cefecc
Model evaluation with mlfow added-error fixed
1 month ago
src
9646cefecc
Model evaluation with mlfow added-error fixed
1 month ago
286685e97a
folder structure added
2 months ago
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data ingestion notebok added
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Initial commit
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Model Evaluation added
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trials added
2 months ago
286685e97a
folder structure added
2 months ago
9646cefecc
Model evaluation with mlfow added-error fixed
1 month ago
9646cefecc
Model evaluation with mlfow added-error fixed
1 month ago
4eff579746
added requirements
2 months ago
9646cefecc
Model evaluation with mlfow added-error fixed
1 month ago
4eff579746
added requirements
2 months ago
286685e97a
folder structure added
2 months ago
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README.md

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Chest-Disease-Classification-From-Chest-CT-Scan

To activate python environment using bash

source chest/Scripts/activate

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/ReshmaChikate5/Chest-Disease-Classification-From-Chest-CT-Scan.mlflow \
MLFLOW_TRACKING_USERNAME=ReshmaChikate5 \
MLFLOW_TRACKING_PASSWORD=96c75beb6b32b3a1e411de33eabe748e722be036 \
python script.py

RUN from bash terminal

export MLFLOW_TRACKING_URI=https://dagshub.com/ReshmaChikate5/Chest-Disease-Classification-From-Chest-CT-Scan.mlflow

export MLFLOW_TRACKING_USERNAME=ReshmaChikate5 

export MLFLOW_TRACKING_PASSWORD=96c75beb6b32b3a1e411de33eabe748e722be036

Execute above 3 commands on git bash

Tip!

Press p or to see the previous file or, n or to see the next file

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Chest disease classification from chest Ct scan images

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