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import os
import pandas as pd
import traceback as tb
import numpy as np
from argparse import ArgumentParser
# Args:
# niterations
# binary_operators
# unary_operators
# col_to_fit
empty_df = pd.DataFrame(
{
"equation": [],
"loss": [],
"complexity": [],
}
)
if __name__ == "__main__":
parser = ArgumentParser()
parser.add_argument("--niterations", type=int)
parser.add_argument("--binary_operators", type=str)
parser.add_argument("--unary_operators", type=str)
parser.add_argument("--col_to_fit", type=str)
parser.add_argument("--filename", type=str)
args = parser.parse_args()
niterations = args.niterations
binary_operators = eval(args.binary_operators)
unary_operators = eval(args.unary_operators)
col_to_fit = args.col_to_fit
filename = args.filename
os.environ["PATH"] += ":/home/user/.local/bin/"
try:
import pysr
from julia.api import JuliaInfo
info = JuliaInfo.load(julia="/home/user/.local/bin/julia")
from julia import Main as _Main
pysr.sr.Main = _Main
from pysr import PySRRegressor
df = pd.read_csv(filename)
y = np.array(df[col_to_fit])
X = df.drop([col_to_fit], axis=1)
model = PySRRegressor(
update=False,
niterations=niterations,
binary_operators=binary_operators,
unary_operators=unary_operators,
)
model.fit(X, y)
df = model.equations_[["equation", "loss", "complexity"]]
# Convert all columns to string type:
df = df.astype(str)
df.to_csv("pysr_output.csv", index=False)
except Exception as e:
error_message = tb.format_exc()
# Dump to file:
empty_df.to_csv("pysr_output.csv", index=False)
with open("error.log", "w") as f:
f.write(error_message)
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