mayurborkar / DogCat_Classification_Using_ML-FLow

It is Dog-Cat Classification Using Mlflow

It is Dog-Cat Classification Model that be implemented using Mlflow.

Step1: Run The Bash File

bash init_setup.sh

Step2: Create The Utils Dir inside src for creating some python repeated file

mkdir utils

touch utils/common.py && touch src/data_mgmt.py && touch src/model.py

Step3: To Use src as package we have run the setup.py file

pip install -e .

Step4: Create The src/stage_01_get_data.py file

touch src/stage_01_get_data.py

Step5: Create The src/stage_02_base_model_creation.py file

touch src/stage_02_base_model_creation.py

Step6: Create The src/stage_03_prepare_callbacks.py file

touch src/stage_03_prepare_callbacks.py

Step7: Create The src/stage_04_train.py file

touch src/stage_04_train.py

Step8: Create The main.py For Starting Point

touch src/main.py

Step9: Create the MLproject File To Use Mlops & Run It by Below Command

mlflow run . --no-conda

Step10: To run any specific entry point in MLproject file

mlflow run . -e get_data --no-conda

Step11: To run any specific entry point in MLproject file

mlflow run . -e get_data -P config=configs/your_config.yaml --no-conda