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tune.py
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tune.py
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#!/usr/bin/env python3
"""script for hyperparameter tuning"""
import argparse
import json
import os
from typing import Dict
from utils.io import load_pickle
def set_up_parser() -> argparse.ArgumentParser:
"""Set up the argument parser.
Returns:
the argument parser
"""
# Initialize new parser
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument(
"files", nargs="+", help="pickle files to compare", metavar="FILE"
)
return parser
def main(args: argparse.Namespace) -> None:
"""High-level pipeline.
Compare hyperparameter performance.
Args:
args: command-line arguments
"""
best_rmse = float("inf")
best_r2 = 0
best_rmse_dict: Dict[str, float] = {}
best_r2_dict: Dict[str, float] = {}
for filename in args.files:
basename = os.path.splitext(os.path.basename(filename))[0]
data = load_pickle(os.path.dirname(filename), basename)
rmse = data["accuracies"]["RMSE"]
r2 = data["accuracies"]["R^2"]
if rmse < best_rmse:
best_rmse = rmse
best_rmse_dict = data
if r2 > best_r2:
best_r2 = r2
best_r2_dict = data
print("\nBest RMSE:\n")
print(best_rmse_dict["args"])
print(json.dumps(best_rmse_dict["accuracies"], indent=4))
print("\nBest R^2:\n")
print(best_r2_dict["args"])
print(json.dumps(best_r2_dict["accuracies"], indent=4))
if __name__ == "__main__":
# Parse supplied arguments
parser = set_up_parser()
args = parser.parse_args()
main(args)