amarshiv86/weather-aus-rain-dataset

MLOps: update processed datasets [2026-03-26 03:50 UTC]

MLOps: update processed datasets [2026-02-25 01:56 UTC]

Cleanup: remove models/.gitignore

Cleanup: remove .github/workflows/retrain.yaml

Cleanup: remove .gitattributes

MLOps: clean upload - data only

Cleanup: remove src/evaluate.py

Cleanup: remove src/train.py

Cleanup: remove src/prepare.py

Cleanup: remove README.md

Cleanup: remove params.yaml

Cleanup: remove metrics.json

Cleanup: remove .gitignore

Cleanup: remove .gitattributes

Replacing DVC with git lfs

Use hugging face instead of gdrive.

Fixing dvc pull storage

Configure DVC to use shared folder ID

Adding mlflow library

Correcting retrain.yaml

Updated train.py to include MLflow logic after removing it from params.yaml

Added the dvc repro logic to push dvc.lock and metrics.json to git

Testing n_estimators

Push new model.pkl to Gdrive everytime action is executed

Changing n_estimators from 200 to 150

Correcting github action file - retrain.yaml to correct path for train.py

Fixing google credentials env

Adding GDRIVE config

workflow folder name needs 's'

Add line to enable manual triggers

Add GitHub Actions workflow for model retraining

Adding public config file

removing config file

Reproduce pipeline with updated training and evaluation scripts

Initialize DVC pipeline and structure

Configure Google Drive as DVC remote

Add weather data pointer and ignore raw csv

Initialize DVC