team-data-import-ml4k-text.py

gistfile1.txt

import csv
import ml4k
import os

listOfFiles = [
    './nflscrapR-data/games_data/regular_season/reg_games_2017.csv',
    './nflscrapR-data/games_data/regular_season/reg_games_2016.csv'  
]

API_KEY = "******************************"
model = ml4k.Model(API_KEY)

for file in listOfFiles: 
    with open(file) as csv_file:
        csv_reader = csv.reader(csv_file, delimiter=',')
        line_count = 0
        for row in csv_reader:
        
        
            home_team = row[2]
            away_team = row[3]
            home_score = row[8]
            away_score = row[9]
            matchup = away_team + ' @ ' + home_team
            if home_team > away_team:
                winner = 'home_team'
            if home_team < away_team:
                winner = 'away_team'
            if home_team != away_team:

                print( 'label: ' + winner)
                print( 'value: ' + matchup)
                model.add_training_data(winner, matchup)

            if line_count == 0:
                print(f'Column names are {", ".join(row)}')
                line_count += 1
            else:
                print( matchup + ' and ' + winner + ' won!')
                line_count += 1
                
        print(f'Processed {line_count} lines.')