Running-Optimizer/Makefile at main · Dhruva05/Running-Optimizer · GitHub

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.PHONY: cleandata eda baseline qa agg install pipeline train features eval
CONFIG=configs/baseline.yaml
PYTHON?=python
VENV?=venv

install:
	python3 -m venv $(VENV)
	$(VENV)/bin/pip install -r requirements.txt

pipeline:
	$(PYTHON) -m src.pipeline \
		$(if $(DATASET),--dataset $(DATASET)) \
		$(if $(NAME),--name $(NAME)) \
		$(if $(TABLE),--table $(TABLE)) \
		$(if $(INP),--inp $(INP)) \
		$(if $(STAMP),--stamp) \
		$(if $(OVERWRITE),--overwrite) \
		$(if $(NO_PLOT),--no-plot) \
		$(if $(EVAL_SPLIT),--eval-split $(EVAL_SPLIT)) \
		$(if $(TEST_FRAC),--test-frac $(TEST_FRAC))

features:
	$(PYTHON) -m scripts.make_features \
		$(if $(DATASET),--dataset $(DATASET)) \
		$(if $(INP),--inp $(INP))

train:
	$(PYTHON) -m scripts.train_model \
		$(if $(NAME),--name $(NAME)) \
		$(if $(TABLE),--table $(TABLE)) \
		$(if $(STAMP),--stamp) \
		$(if $(OVERWRITE),--overwrite) \
		$(if $(NO_PLOT),--no-plot) \
		$(if $(TEST_FRAC),--test-frac $(TEST_FRAC))

eval:
	$(PYTHON) scripts/evaluate_model.py \
		$(if $(EVAL_SPLIT),--split $(EVAL_SPLIT)) \
		$(if $(TEST_FRAC),--test-frac $(TEST_FRAC))

cleandata:
\tpython -m src.data.clean --in data/processed/features.csv \
\t  --out data/processed/features_day2.parquet \
\t  --report reports/cleaning_report.md \
\t  --outliers data/interim/outliers.csv \
\t  --config $(CONFIG)

qa:
\tpython scripts/qa_check.py

eda:
\tjupyter nbconvert --execute --to html \
\t  --output reports/eda_day2.html notebooks/01_eda_day2.ipynb

baseline:
\tpython scripts/train_baseline.py --config $(CONFIG)

agg:
\tpython scripts/aggregate_results.py