Makefile

.PHONY: clean

all: render_report

download_data: 
	python scripts/download_data.py \
		--name=ObesityDataSet_raw_data_sinthetic.csv \
    	--write_to=data/raw

clean_data: download_data
	python scripts/clean_data.py \
        --raw-data='data/raw/ObesityDataSet_raw_data_sinthetic.csv' \
        --name='ObesityDataSet_processed_data.csv' \
        --data-to="data/processed/" \
        --plot-to="results/figures"

split_preprocess_data: clean_data
	python scripts/split_n_preprocess.py \
        --clean-data=data/processed/ObesityDataSet_processed_data.csv \
        --data-to=data/processed \
        --preprocessor-to=results/models \
        --seed=522 \
        --html-to="results/htmls"

eda: split_preprocess_data
	python scripts/eda.py \
		--training_data_split=data/processed/obesity_train.csv \
		--plot_path=results/figures/

fit_obesity_classifier: eda
	python scripts/fit_obesity_classifier.py \
		--encoded-train-data=data/processed/obesity_train_target_encoding.csv \
		--data-to=results/tables --preprocessor=results/models/obesity_preprocessor.pickle \
		--seed=522 --pipeline-to=results/models

evaluate_models: fit_obesity_classifier
	python scripts/evaluate_models.py \
		--test-data=data/processed/obesity_test_target_encoding.csv \
		--pipeline-path=results/models/trained_pipelines.pkl \
		--data-to=results/tables \
		--plot-to=results/figures

render_report: evaluate_models
	quarto render report/obesity_level_predictor_report.qmd --to html

clean:
	rm -f data/raw/*
	rm -f data/processed/*
	rm -f results/figures/*
	rm -f results/htmls/*
	rm -f results/tables/*
	rm -f results/models/*