def algorithm1_print_running():
rfa = al1.create()
rfa.train('TestData(2018).csv')
def print_results(host, guest):
print('Statistic for ' + host + ' against ' + guest + ':')
results = rfa.request(dict(host=host, guest=guest))
for (x, y) in results.items():
print(x + ": " + str(y))
print()
print_results('Borussia Dortmund', 'SC Freiburg')
print_results('SC Freiburg', 'FC Bayern')
def test_algorithm_selection(new_gui):
new_gui.update_smd(None)
new_gui.select_crawl_from_season.set('2008')
new_gui.select_crawl_to_season.set('2008')
new_gui.start_crawler()
new_gui.select_algorithm.set('RelativeFrequencyAlgorithm')
new_gui.start_training()
new_gui.select_home.set('Arminia Bielefeld')
new_gui.select_away.set('Bayer Leverkusen')
new_gui.start_prediction()
result_gui = new_gui.is_trained[0]
rfa = algorithm1.create()
rfa.train('matches.csv')
result_algorithm = rfa.request(
dict(
host='Arminia Bielefeld',
guest='Bayer Leverkusen'))
assert result_algorithm == result_gui
def rfa():
rfa = al1.create()
return rfa