from algorithms.Model1 import Model1 from scrapers.scraper import Scraper import pickle import os import numpy as np from settings import settings if __name__ == "__main__": print("Starting altomfotball.no scraper!") data = None if not settings["use_pickle_model"]: scraper = Scraper.scrape() pickle.dump(scraper, open(os.path.join(os.getcwd(), "model.p"), "wb")) data = scraper else: data = pickle.load(open(os.path.join(os.getcwd(), "model.p"), "rb")) model = Model1() X_train = [] Y_train = [] X_test = [] Y_test = [] train_years = [x for x in range(2016, 2017)] test_years = [x for x in range(2017, 2018)] for year, season in data.items(): if year not in train_years and year not in test_years: