trenowanie modelu, wytrenowany model
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Anna Nowak
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@ -57,6 +57,9 @@ docs/source/changelog.md
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#fifa dataset
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#fifa dataset
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fifa19*
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fifa19*
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*.csv
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data.csv
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test.csv
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train.csv
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dev.csv
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stat.txt
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stat.txt
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.venv/
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.venv/
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@ -8,3 +8,4 @@ RUN pip3 install -r requirements.txt
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COPY ["Zadanie 1.py", "."]
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COPY ["Zadanie 1.py", "."]
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COPY ["stats.py", "."]
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COPY ["stats.py", "."]
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COPY ["train.py", "."]
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239
Zadanie 1.py
239
Zadanie 1.py
@ -3,6 +3,236 @@ import os
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import pandas as pd
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import pandas as pd
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from sklearn.model_selection import train_test_split
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from sklearn.model_selection import train_test_split
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positions=['RF', 'ST', 'LW', 'GK', 'RCM', 'LF', 'RS', 'RCB', 'LCM', 'CB',
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'LDM', 'CAM', 'CDM', 'LS', 'LCB', 'RM', 'LM', 'LB', 'RDM', 'RW',
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'CM', 'RB', 'RAM', 'CF', 'LAM', 'RWB', 'LWB']
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nationalities=['Argentina', 'Portugal', 'Brazil', 'Spain', 'Belgium', 'Croatia',
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'Uruguay', 'Slovenia', 'Poland', 'Germany', 'France', 'England',
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'Italy', 'Egypt', 'Denmark', 'Gabon', 'Wales', 'Senegal',
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'Costa Rica', 'Slovakia', 'Netherlands', 'Bosnia Herzegovina',
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'Morocco', 'Serbia', 'Algeria', 'Austria', 'Greece', 'Chile',
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'Sweden', 'Colombia', 'Korea Republic', 'Finland', 'Guinea',
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'Montenegro', 'Armenia', 'Switzerland', 'Norway', 'Czech Republic',
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'Scotland', 'Ghana', 'Central African Rep.', 'DR Congo',
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'Ivory Coast', 'Russia', 'Ukraine', 'Iceland', 'Mexico', 'Jamaica',
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'Albania', 'Venezuela', 'Japan', 'Turkey', 'Ecuador', 'Paraguay',
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'Mali', 'Nigeria', 'Cameroon', 'Dominican Republic', 'Israel',
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'Kenya', 'Hungary', 'Republic of Ireland', 'Romania',
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'United States', 'Cape Verde', 'Australia', 'Peru', 'Togo',
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'Syria', 'Zimbabwe', 'Angola', 'Burkina Faso', 'Iran', 'Estonia',
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'Tunisia', 'Equatorial Guinea', 'New Zealand', 'FYR Macedonia',
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'United Arab Emirates', 'China PR', 'Guinea Bissau', 'Bulgaria',
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'Kosovo', 'South Africa', 'Madagascar', 'Georgia', 'Tanzania',
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'Gambia', 'Cuba', 'Belarus', 'Uzbekistan', 'Benin', 'Congo',
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'Mozambique', 'Honduras', 'Canada', 'Northern Ireland', 'Cyprus',
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'Saudi Arabia', 'Curacao', 'Moldova', 'Bolivia',
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'Trinidad & Tobago', 'Sierra Leone', 'Zambia', 'Chad',
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'Philippines', 'Haiti', 'Comoros', 'Libya', 'Panama',
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'São Tomé & Príncipe', 'Eritrea', 'Oman', 'Iraq', 'Burundi',
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'Fiji', 'New Caledonia', 'Lithuania', 'Luxembourg', 'Korea DPR',
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'Liechtenstein', 'St Kitts Nevis', 'Latvia', 'Suriname', 'Uganda',
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'El Salvador', 'Kuwait', 'Antigua & Barbuda', 'Thailand',
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'Mauritius', 'Guatemala', 'Liberia', 'Kazakhstan', 'Niger',
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'Mauritania', 'Montserrat', 'Namibia', 'Azerbaijan', 'Guam',
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'Faroe Islands', 'Nicaragua', 'Barbados', 'Lebanon', 'Palestine',
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'Guyana', 'Sudan', 'Ethiopia', 'Puerto Rico', 'Grenada', 'Jordan',
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'Rwanda', 'Bermuda', 'Qatar', 'Afghanistan', 'Hong Kong',
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'Andorra', 'Belize', 'South Sudan', 'Indonesia', 'Botswana']
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clubs = ['FC Barcelona', 'Juventus', 'Paris Saint-Germain',
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'Manchester United', 'Manchester City', 'Chelsea', 'Real Madrid',
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'Atlético Madrid', 'FC Bayern München', 'Tottenham Hotspur',
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'Liverpool', 'Napoli', 'Arsenal', 'Inter', 'Lazio',
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'Borussia Dortmund', 'Vissel Kobe', 'Olympique Lyonnais', 'Roma',
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'Valencia CF', 'FC Porto', 'FC Schalke 04', 'Beşiktaş JK',
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'LA Galaxy', 'Sporting CP', 'Real Betis', 'Olympique de Marseille',
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'RC Celta', 'Bayer 04 Leverkusen', 'Real Sociedad',
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'Villarreal CF', 'Sevilla FC', 'SL Benfica', 'AS Saint-Étienne',
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'AS Monaco', 'Leicester City', 'Atalanta', 'Grêmio',
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'Atlético Mineiro', 'RB Leipzig', 'Ajax', 'Dalian YiFang FC',
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'Everton', 'Milan', 'West Ham United', '1. FC Köln',
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'TSG 1899 Hoffenheim', 'Shanghai SIPG FC', 'OGC Nice', 'Al Nassr',
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'Wolverhampton Wanderers', 'Borussia Mönchengladbach',
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'Hertha BSC', 'SV Werder Bremen', 'Cruzeiro',
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'Athletic Club de Bilbao', 'Torino', 'Medipol Başakşehir FK',
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'Beijing Sinobo Guoan FC', 'Crystal Palace', 'PFC CSKA Moscow',
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'VfL Wolfsburg', 'Shakhtar Donetsk', 'Toronto FC',
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'Lokomotiv Moscow', 'Sassuolo', 'New York City FC', 'Fluminense',
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'PSV', 'Levante UD', 'Fulham', 'Watford', 'Atlanta United',
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'Montpellier HSC', 'Galatasaray SK', 'Fenerbahçe SK', 'SD Eibar',
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'Los Angeles FC', 'Sampdoria', 'Al Hilal', 'VfB Stuttgart',
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'SC Braga', 'River Plate', 'Deportivo Alavés',
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'Eintracht Frankfurt', 'Girona FC', 'Guangzhou R&F; FC', 'Burnley',
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'Stoke City', 'Southampton', 'Tianjin Quanjian FC', 'Getafe CF',
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'Beijing Renhe FC', 'Montreal Impact', 'Chievo Verona', 'Genoa',
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'Portland Timbers', 'Tigres U.A.N.L.', 'RCD Espanyol',
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'Hebei China Fortune FC', 'Cagliari', 'Chicago Fire', 'DC United',
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'Sagan Tosu', 'Dynamo Kyiv', 'Santos', 'Internacional',
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'América FC (Minas Gerais)', 'Independiente', 'Boca Juniors',
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'Cruz Azul', '1. FSV Mainz 05', 'Bournemouth', 'Spartak Moscow',
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'Racing Club', 'FC Augsburg', 'Fiorentina', 'FC Nantes',
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'Feyenoord', 'Club Brugge KV', 'Brighton & Hove Albion',
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'Guangzhou Evergrande Taobao FC', 'Al Ahli', 'Jiangsu Suning FC',
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'SC Freiburg', 'PAOK', 'Stade Rennais FC', 'Trabzonspor', 'SPAL',
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'Portimonense SC', 'Olympiacos CFP', 'Club Atlético Huracán',
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'Kasimpaşa SK', 'Newcastle United', 'Querétaro', 'KRC Genk',
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'Hannover 96', 'Stade Malherbe Caen', 'Godoy Cruz',
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'Toulouse Football Club', 'RSC Anderlecht', 'Huddersfield Town',
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'CD Tondela', 'Seattle Sounders FC', 'Hamburger SV',
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'FC Red Bull Salzburg', 'Rio Ave FC', 'FC Girondins de Bordeaux',
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'Melbourne Victory', 'Parma', 'FC Basel 1893', 'Al Wehda',
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'BSC Young Boys', 'KAA Gent', 'Al Ittihad', 'Standard de Liège',
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'Shanghai Greenland Shenhua FC', 'Colo-Colo', 'Junior FC',
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'West Bromwich Albion', 'RC Strasbourg Alsace', 'Göztepe SK',
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'Deportivo Cali', 'Deportivo Toluca', 'Bologna', 'Nagoya Grampus',
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'Amiens SC', 'Changchun Yatai FC', 'Club Atlético Lanús',
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'Botafogo', 'Club América', 'Udinese', 'Real Valladolid CF',
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'CD Leganés', 'Club Atlético Banfield', 'Celtic',
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'Vitória Guimarães', 'FC København', 'UD Las Palmas',
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'Deportivo de La Coruña', 'Universidad Católica',
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'San Lorenzo de Almagro', 'Rayo Vallecano', 'Monterrey',
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'Columbus Crew SC', 'MKE Ankaragücü', 'Guizhou Hengfeng FC',
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'Swansea City', 'Tianjin TEDA FC',
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'Chongqing Dangdai Lifan FC SWM Team', 'AEK Athens', 'Al Taawoun',
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'Melbourne City FC', 'En Avant de Guingamp',
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'Akhisar Belediyespor', 'Foggia', 'LOSC Lille',
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'Clube Sport Marítimo', 'Real Sporting de Gijón', 'BB Erzurumspor',
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'Shandong Luneng TaiShan FC', 'Bahia', 'Once Caldas',
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'FC Groningen', 'Angers SCO', 'Paraná', 'Antalyaspor',
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'Minnesota United FC', 'Club León', 'Empoli', 'Leeds United',
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'Viktoria Plzeň', 'Alanyaspor', 'Frosinone', 'Atlético Paranaense',
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'Derby County', 'Kawasaki Frontale', 'Aston Villa', 'Guadalajara',
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'Dijon FCO', 'Santos Laguna', 'Vitória', 'Çaykur Rizespor',
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'U.N.A.M.', 'Nottingham Forest', 'Royal Antwerp FC',
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'Club Tijuana', 'Sport Club do Recife', 'Real Salt Lake',
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'AZ Alkmaar', 'SK Slavia Praha', 'Willem II', 'Middlesbrough',
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'Dinamo Zagreb', 'Club Atlas', 'Granada CF', 'Sydney FC',
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'Sporting Kansas City', 'SV Zulte-Waregem', 'Málaga CF',
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'Real Oviedo', 'Pachuca', 'Boavista FC', 'Atiker Konyaspor',
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'Kaizer Chiefs', 'GD Chaves', 'Palermo', 'Atlético Nacional',
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'Puebla FC', 'Perth Glory', 'Panathinaikos FC', 'FC Sion',
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'New York Red Bulls', 'Al Shabab', 'Club Atlético Colón',
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'Monarcas Morelia', 'Albacete BP', 'Rangers FC', 'Sparta Praha',
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'Philadelphia Union', 'Legia Warszawa', 'Urawa Red Diamonds',
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'Rosario Central', 'Stade de Reims', 'ADO Den Haag', 'Chapecoense',
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'FC Midtjylland', 'San Jose Earthquakes', 'Cardiff City',
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'Belgrano de Córdoba', '1. FC Nürnberg', 'Brescia',
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'Kashima Antlers', 'Vitória de Setúbal',
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'CD Everton de Viña del Mar', 'Fortuna Düsseldorf', 'SD Huesca',
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'Preston North End', 'Club Atlético Talleres', 'Benevento',
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'Gimnasia y Esgrima La Plata', 'Houston Dynamo', 'Club Necaxa',
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'Norwich City', 'Holstein Kiel', 'Ettifaq FC', 'Kayserispor',
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'1. FC Heidenheim 1846', 'Vitesse', 'Brentford',
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'Yeni Malatyaspor', 'Ceará Sporting Club', 'FC Ingolstadt 04',
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'Estudiantes de La Plata', 'AIK', 'Queens Park Rangers',
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'Suwon Samsung Bluewings', 'Heart of Midlothian', 'Reading',
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'FC Dallas', 'Heracles Almelo', 'Bursaspor', 'Venezia FC',
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'CD Lugo', 'Henan Jianye FC', 'Orlando City SC', 'CA Osasuna',
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'Livorno', 'Universidad de Chile', 'Brøndby IF', 'Aberdeen',
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'Defensa y Justicia', 'Atlético Tucumán', 'Blackburn Rovers',
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'SV Darmstadt 98', 'Moreirense FC', 'Sanfrecce Hiroshima',
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'CD Numancia', 'KV Oostende', 'Vancouver Whitecaps FC',
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'Odense Boldklub', 'SC Heerenveen', 'Racing Club de Lens',
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'Independiente Santa Fe', 'Sporting de Charleroi',
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'Millonarios FC', 'Sheffield Wednesday', 'Perugia', 'Daegu FC',
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'Vélez Sarsfield', 'Grasshopper Club Zürich', 'Sivasspor',
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'Rosenborg BK', 'SK Sturm Graz', 'FC Metz',
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'CD Universidad de Concepción', 'Brisbane Roar', 'CD Feirense',
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'Hull City', 'Neuchâtel Xamax', 'Real Zaragoza', 'CD Aves',
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'Millwall', 'Unión de Santa Fe', 'KAS Eupen', 'Cádiz CF',
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'CD Tenerife', '1. FC Union Berlin', 'Al Fayha', 'AJ Auxerre',
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'Nîmes Olympique', 'Patriotas Boyacá FC', 'Molde FK',
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'Bristol City', 'CD Nacional', 'Sporting Lokeren', 'FC St. Pauli',
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'Deportes Iquique', 'Al Qadisiyah', 'Sheffield United',
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'Lobos BUAP', 'FC Utrecht', 'Club Atlético Tigre',
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'FK Austria Wien', 'Patronato', 'Malmö FF', 'Kashiwa Reysol',
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'US Cremonese', 'VfL Bochum 1848', 'SK Rapid Wien',
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'Hellas Verona', 'Rionegro Águilas', 'Lecce', 'Santa Clara',
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'BK Häcken', 'New England Revolution', 'Orlando Pirates',
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'Atlético Huila', 'Western Sydney Wanderers', 'Kalmar FF',
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'Independiente Medellín', 'Lech Poznań', 'Djurgårdens IF',
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'CF Reus Deportiu', 'SK Brann', 'Ulsan Hyundai FC',
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'Sint-Truidense VV', 'Al Fateh', 'Royal Excel Mouscron',
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'AC Ajaccio', 'PEC Zwolle', 'Sunderland', 'Club Atlético Aldosivi',
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'US Salernitana 1919', 'FC Lorient', 'Argentinos Juniors',
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'AD Alcorcón', 'Crotone', 'Excelsior', 'Gimnàstic de Tarragona',
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'FC Tokyo', 'KV Kortrijk', 'IFK Norrköping', 'Adelaide United',
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'FC St. Gallen', 'Tiburones Rojos de Veracruz', 'CD Palestino',
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'Jeju United FC', 'Deportes Tolima', 'Jeonbuk Hyundai Motors',
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'Birmingham City', 'América de Cali', 'La Equidad', 'Spezia',
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'Aalborg BK', 'Le Havre AC', 'KSV Cercle Brugge', 'Górnik Zabrze',
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'Wigan Athletic', 'Jagiellonia Białystok', 'Cittadella',
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'Hibernian', 'FC Lugano', 'San Martín de San Juan',
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'Strømsgodset IF', "Newell's Old Boys", 'Al Faisaly',
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'Colorado Rapids', 'IF Elfsborg', 'SV Sandhausen', 'Al Batin',
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'VVV-Venlo', 'Stade Brestois 29', 'UD Almería', 'Gyeongnam FC',
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'Yokohama F. Marinos', 'Kilmarnock', 'Pescara', 'Newcastle Jets',
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'Central Coast Mariners', 'Córdoba CF', 'RCD Mallorca',
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'Hammarby IF', 'Cerezo Osaka', 'KFC Uerdingen 05',
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'Shimizu S-Pulse', 'MSV Duisburg', 'Os Belenenses',
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'DSC Arminia Bielefeld', 'Ipswich Town', 'FC Seoul',
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'Lechia Gdańsk', 'Gamba Osaka', 'CF Rayo Majadahonda', 'Carpi',
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'LASK Linz', 'Bolton Wanderers', 'Al Raed', 'Extremadura UD',
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'SC Paderborn 07', 'Wellington Phoenix', 'Unión Española',
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'Alianza Petrolera', 'Cracovia', 'Gangwon FC', 'Júbilo Iwata',
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'Elche CF', 'AS Béziers', 'La Berrichonne de Châteauroux',
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'Clermont Foot 63', 'ESTAC Troyes', 'Pohang Steelers', 'Örebro SK',
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'Arka Gdynia', 'SG Dynamo Dresden', 'SpVgg Greuther Fürth',
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'Wisła Kraków', 'Stabæk Fotball', 'Eintracht Braunschweig',
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'Valenciennes FC', 'FC Thun', 'San Luis de Quillota',
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'Fortuna Sittard', ' SSV Jahn Regensburg', 'FC Nordsjælland',
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'FC Erzgebirge Aue', 'Jeonnam Dragons', 'Wolfsberger AC',
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'Chamois Niortais Football Club', 'Club Deportes Temuco',
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'AS Nancy Lorraine', 'Red Star FC', 'Al Hazem', 'Pogoń Szczecin',
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'Charlton Athletic', 'Grenoble Foot 38', 'FC Hansa Rostock',
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'San Martin de Tucumán', 'Incheon United FC', 'Śląsk Wrocław',
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'GFC Ajaccio', '1. FC Kaiserslautern', 'Waasland-Beveren',
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'Deportivo Pasto', 'Lincoln City', 'Motherwell',
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'Rotherham United', 'Burton Albion', 'Wisła Płock',
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'CD Huachipato', 'FC Wacker Innsbruck', 'Atlético Bucaramanga',
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'Peterborough United', 'Ascoli', 'FC Zürich', 'Fleetwood Town',
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'Padova', 'SV Wehen Wiesbaden', 'FC Sochaux-Montbéliard',
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'Unión La Calera', 'Scunthorpe United', 'NAC Breda',
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'1. FC Magdeburg', "CD O'Higgins", 'CD Antofagasta',
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'Plymouth Argyle', 'Aarhus GF', 'Lillestrøm SK', 'Karlsruher SC',
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'GIF Sundsvall', 'FC Emmen', 'Barnsley', 'Audax Italiano',
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'V-Varen Nagasaki', 'Paris FC', 'SpVgg Unterhaching', 'Hobro IK',
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'De Graafschap', 'Hokkaido Consadole Sapporo', 'Tromsø IL',
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'FC Luzern', 'FK Haugesund', 'Zagłębie Lubin', 'VfR Aalen',
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'Dundalk', 'Piast Gliwice', 'Ohod Club', 'Östersunds FK',
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'Crawley Town', 'FC Admira Wacker Mödling', 'Vålerenga Fotball',
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'Oxford United', 'Dundee FC', 'Portsmouth', 'Envigado FC',
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'Miedź Legnica', 'Odds BK', 'SC Fortuna Köln', 'Cosenza',
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'US Orléans Loiret Football', 'Sarpsborg 08 FF',
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'Jaguares de Córdoba', 'Bradford City', 'St. Johnstone FC',
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'Boyacá Chicó FC', 'SV Mattersburg', 'Luton Town',
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'Kristiansund BK', 'Sangju Sangmu FC', 'Walsall', 'Korona Kielce',
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'Shonan Bellmare', 'FC Würzburger Kickers', 'FSV Zwickau',
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'St. Mirren', 'AC Horsens', 'HJK Helsinki', 'Accrington Stanley',
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'Southend United', 'Bristol Rovers', 'Hamilton Academical FC',
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'TSV 1860 München', 'Curicó Unido', 'SCR Altach',
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'Ranheim Fotball', 'Stevenage', 'SG Sonnenhof Großaspach',
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'Oldham Athletic', 'Milton Keynes Dons', 'FK Bodø/Glimt',
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'SC Preußen Münster', 'Vejle Boldklub', 'Vegalta Sendai', 'Bury',
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||||||
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'Randers FC', 'VfL Osnabrück', 'SønderjyskE', 'IFK Göteborg',
|
||||||
|
'Mansfield Town', 'Coventry City', 'Esbjerg fB', 'Waterford FC',
|
||||||
|
'Shrewsbury', 'IK Start', 'Rochdale', 'Gillingham',
|
||||||
|
'FC Energie Cottbus', 'FC Carl Zeiss Jena', 'Hallescher FC',
|
||||||
|
'Wycombe Wanderers', 'AFC Wimbledon', 'Blackpool',
|
||||||
|
'Doncaster Rovers', 'Sandefjord Fotball', 'VfL Sportfreunde Lotte',
|
||||||
|
'Cheltenham Town', 'IK Sirius', 'Vendsyssel FF', 'Swindon Town',
|
||||||
|
'SV Meppen', 'Notts County', 'SKN St. Pölten', 'Exeter City',
|
||||||
|
'Northampton Town', 'Shamrock Rovers', 'Colchester United',
|
||||||
|
'Livingston FC', 'TSV Hartberg', 'Tranmere Rovers',
|
||||||
|
'Cambridge United', 'Grimsby Town', 'Port Vale',
|
||||||
|
'Itagüí Leones FC', 'Forest Green Rovers', 'Dalkurd FF',
|
||||||
|
'Zagłębie Sosnowiec', 'Carlisle United', 'Trelleborgs FF',
|
||||||
|
"St. Patrick's Athletic", 'Morecambe', 'Cork City',
|
||||||
|
'IF Brommapojkarna', 'Crewe Alexandra', 'Yeovil Town',
|
||||||
|
'Bohemian FC', 'Macclesfield Town', 'Newport County',
|
||||||
|
'Sligo Rovers', 'Derry City', 'Limerick FC', 'Bray Wanderers']
|
||||||
|
|
||||||
if os.getenv("KAGGLE_KEY") is None or os.getenv("KAGGLE_USERNAME") is None:
|
if os.getenv("KAGGLE_KEY") is None or os.getenv("KAGGLE_USERNAME") is None:
|
||||||
print("Brak zmiennych środowiskowych KAGGLE_KEY lub KAAGLE_USERNAME")
|
print("Brak zmiennych środowiskowych KAGGLE_KEY lub KAAGLE_USERNAME")
|
||||||
exit()
|
exit()
|
||||||
@ -17,9 +247,10 @@ df=pd.read_csv('data.csv')
|
|||||||
df = df[df["Release Clause"].notna()]
|
df = df[df["Release Clause"].notna()]
|
||||||
df = df[df["Release Clause"].notnull()]
|
df = df[df["Release Clause"].notnull()]
|
||||||
|
|
||||||
if df["Overall"].mean() > 1:
|
df["Age"]= df["Age"]/50
|
||||||
df["Overall"]= df["Overall"]/100
|
df["Nationality"] = df["Nationality"].apply(nationalities.index)/(len(nationalities)-1)
|
||||||
|
df["Position"] = df["Position"].apply(positions.index)/(len(positions)-1)
|
||||||
|
df["Club"] = df["Club"].apply(clubs.index)/(len(clubs)-1)
|
||||||
df["Release Clause"] = df["Release Clause"].str.replace("€", "")
|
df["Release Clause"] = df["Release Clause"].str.replace("€", "")
|
||||||
|
|
||||||
df["Release Clause"] = (df["Release Clause"].replace(r'[KM]+$', '', regex=True).astype(float) *
|
df["Release Clause"] = (df["Release Clause"].replace(r'[KM]+$', '', regex=True).astype(float) *
|
||||||
@ -28,7 +259,7 @@ df["Release Clause"] = (df["Release Clause"].replace(r'[KM]+$', '', regex=True).
|
|||||||
|
|
||||||
df.to_csv('data.csv')
|
df.to_csv('data.csv')
|
||||||
train, dev = train_test_split(df, train_size=0.6, test_size=0.4, shuffle=True)
|
train, dev = train_test_split(df, train_size=0.6, test_size=0.4, shuffle=True)
|
||||||
dev, test = train_test_split(dev, train_size=0.5, test_size=0.5, shuffle=False)
|
dev, test = train_test_split(dev, train_size=0.5, test_size=0.5, shuffle=True)
|
||||||
|
|
||||||
test.to_csv('test.csv')
|
test.to_csv('test.csv')
|
||||||
dev.to_csv('dev.csv')
|
dev.to_csv('dev.csv')
|
||||||
|
|||||||
2
evaluation_result.txt
Normal file
2
evaluation_result.txt
Normal file
@ -0,0 +1,2 @@
|
|||||||
|
Train: 25.844615936279297
|
||||||
|
Test: 25.38555335998535
|
||||||
@ -1,4 +1,6 @@
|
|||||||
kaggle
|
kaggle==1.5.12
|
||||||
pandas
|
pandas==1.2.4
|
||||||
numpy
|
numpy==1.19.2
|
||||||
sklearn
|
sklearn
|
||||||
|
tensorflow==2.4.1
|
||||||
|
jinja2==2.11.3
|
||||||
3330
results.csv
Normal file
3330
results.csv
Normal file
File diff suppressed because it is too large
Load Diff
56
train.py
Normal file
56
train.py
Normal file
@ -0,0 +1,56 @@
|
|||||||
|
import pandas as pd
|
||||||
|
from os import path
|
||||||
|
from tensorflow import keras
|
||||||
|
from tensorflow.keras import layers
|
||||||
|
|
||||||
|
model_name = "model.h5"
|
||||||
|
train_data=pd.read_csv('train.csv')
|
||||||
|
|
||||||
|
input_columns=["Age","Nationality","Position","Club"]
|
||||||
|
X=train_data[input_columns].to_numpy()
|
||||||
|
Y=train_data[["Overall"]].to_numpy()
|
||||||
|
model = None
|
||||||
|
|
||||||
|
if path.exists(model_name):
|
||||||
|
model = keras.models.load_model(model_name)
|
||||||
|
else:
|
||||||
|
model = keras.Sequential(name="fifa_overall")
|
||||||
|
model.add(keras.Input(shape=(len(input_columns),), name="player_info"))
|
||||||
|
model.add(layers.Dense(4, activation="relu", name="layer1"))
|
||||||
|
model.add(layers.Dense(8, activation="relu", name="layer2"))
|
||||||
|
model.add(layers.Dense(8, activation="relu", name="layer3"))
|
||||||
|
model.add(layers.Dense(5, activation="relu", name="layer4"))
|
||||||
|
model.add(layers.Dense(1, activation="relu", name="output"))
|
||||||
|
|
||||||
|
model.compile(
|
||||||
|
optimizer=keras.optimizers.RMSprop(),
|
||||||
|
loss=keras.losses.MeanSquaredError(),
|
||||||
|
)
|
||||||
|
|
||||||
|
history = model.fit(
|
||||||
|
X,
|
||||||
|
Y,
|
||||||
|
batch_size=16,
|
||||||
|
epochs=15,
|
||||||
|
)
|
||||||
|
|
||||||
|
model.save(model_name)
|
||||||
|
|
||||||
|
test_data=pd.read_csv('test.csv')
|
||||||
|
X_test=test_data[input_columns].to_numpy()
|
||||||
|
Y_test=test_data[["Overall"]].to_numpy()
|
||||||
|
|
||||||
|
results_train = model.evaluate(X, Y, batch_size=128)
|
||||||
|
results_test = model.evaluate(X_test, Y_test, batch_size=128)
|
||||||
|
y_pred = model(X_test)
|
||||||
|
|
||||||
|
lines = ["Name;Overall;Predicted overall\n"]
|
||||||
|
for i in range(len(X_test)):
|
||||||
|
name = test_data["Name"][i]
|
||||||
|
lines.append(f"{name};{int(Y_test[i])};{int(y_pred[i])}\n")
|
||||||
|
|
||||||
|
with open('results.csv', 'w+', encoding="UTF-8") as f:
|
||||||
|
f.writelines(lines)
|
||||||
|
|
||||||
|
with open('evaluation_result.txt', 'w+', encoding="UTF-8") as f:
|
||||||
|
f.write(f"Train: {str(results_train)}\nTest: {str(results_test)}")
|
||||||
Loading…
Reference in New Issue
Block a user