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get_unique_fts.py
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get_unique_fts.py
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"""Run univariate feature selection and
compare to rfe output
Authors:
Fangzhou Li - fzli@ucdavis.edu
Arielle Yoo - asmyoo@ucdavis.edu
"""
import os
import pickle
import logging
from statistics import stdev
import numpy as np
import pandas as pd
import click
import scipy as sp
from sklearn.metrics import precision_score
from ast import literal_eval
from functools import reduce
from .run_univariate import make_readable
@click.command()
@click.argument(
'path-input-dir',
type=click.Path(exists=True))
def main(
path_input_dir):
ages = ['12', '12to18', '13', '16', '17', '18']
df_all = pd.DataFrame()
for age in ages:
if age == '12to18':
df = pd.read_csv(
f"{path_input_dir}/output_{age}_yesmental/f1/feature_selection_corr.csv")
else:
df = pd.read_csv(
f"{path_input_dir}/output_{age}_yesmental/feature_selection_corr.csv")
df["codebook"] = make_readable(df["Variable"])
df_all = pd.concat([df_all, df])
# print(df_all)
df_unique = df_all[["Variable", "codebook"]]
df_unique = df_unique.drop_duplicates(subset=["Variable"])
df_unique = df_unique.sort_values(by=["Variable"])
df_unique.to_csv(f"{path_input_dir}/unique_features.csv", index=False)
if __name__ == '__main__':
main()