feat: added argument support

This commit is contained in:
Krzysztof Rudnicki 2023-05-29 21:59:33 +02:00
parent e0b160f071
commit f4e00bf019

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@ -4,6 +4,8 @@ recomends anime based on another anime entered by user
"""
import pandas as pd
import numpy as np
import argparse
from sklearn.neighbors import NearestNeighbors
from scipy.sparse import csr_matrix
@ -184,8 +186,27 @@ def create_model(pivot_table):
return model
def handle_arguments():
parser = argparse.ArgumentParser(description='Example script with pyargs')
parser.add_argument('--data_limit', '-dl',
help='Specify data limit, Recommended at least 50k', required=False, type=int, default=-1)
parser.add_argument('--seed', '-s', help='Specify seed',
type=int, required=False, default=42)
parser.add_argument('--debug', '-d', help='Use debug (more information) prints',
type=bool, required=False, default=False)
parser.add_argument('--database', '-db', help='Specify database path',
required=False, default="database")
# Parse the command-line arguments
args = parser.parse_args()
# Access the values of the arguments
return args.seed, args.debug, args.data_limit, args.database
if __name__ == "__main__":
RATING_DATA, ANIME_CONTACT_DATA = get_data(524288)
PIVOT_TABLE = preprocessing(RATING_DATA, ANIME_CONTACT_DATA)
seed, debug, data_limit, db = handle_arguments()
RATING_DATA, ANIME_CONTACT_DATA = get_data(data_limit, db)
PIVOT_TABLE = preprocessing(RATING_DATA, ANIME_CONTACT_DATA, debug)
MODEL = create_model(PIVOT_TABLE)
predict(MODEL, PIVOT_TABLE)
predict(MODEL, PIVOT_TABLE, seed)