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zmiana jezyka zmiennych kategorycznych

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unknown 2024-01-08 22:50:39 +01:00
parent 0b3e58f05e
commit f96465ed56
3 changed files with 33 additions and 39 deletions
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38
app/src/components/Hero.jsx
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@ -342,10 +342,10 @@ const Hero = () => {
<select className="dropbtn" <select className="dropbtn"
onChange={event => setBodyPart(event.target.value)} onChange={event => setBodyPart(event.target.value)}
defaultValue={bodyPart}> defaultValue={bodyPart}>
<option value = "prawa">Noga Prawa</option> <option value = "Right Foot">Noga Prawa</option>
<option value = "lewa">Noga Lewa</option> <option value = "Left Foot">Noga Lewa</option>
<option value = "glowa">Głowa</option> <option value = "Head">Głowa</option>
<option value = "inna" >Inna</option> <option value = "Other" >Inna</option>
</select> </select>
</form> </form>
@ -355,23 +355,23 @@ const Hero = () => {
<form className="dropdown" id = "shootTypeList"> <form className="dropdown" id = "shootTypeList">
<select className="dropbtn" onChange={event => setTechnique(event.target.value)} <select className="dropbtn" onChange={event => setTechnique(event.target.value)}
defaultValue = {technique}> defaultValue = {technique}>
<option value="zwykly"> Zwykły </option> <option value="Normal"> Zwykły </option>
<option value = "voley"> Wolej </option> <option value = "Volley"> Wolej </option>
<option value = "pol-voley"> Półwolej </option> <option value = "Half Volley"> Półwolej </option>
<option value = "lob"> Lob </option> <option value = "Lob"> Lob </option>
<option value = "szczupak"> Szczupak </option> <option value = "Diving Head"> Szczupak </option>
<option value = "z_gory"> Kopnięcie z góry </option> <option value = "Overhead Kick"> Kopnięcie z góry </option>
<option value = "pietka"> Piętka </option> <option value = "Backheel"> Piętka </option>
</select> </select>
</form> </form>
<form className="dropdown" id = "actionTypeList" onChange={event => setActionType(event.target.value)} <form className="dropdown" id = "actionTypeList" onChange={event => setActionType(event.target.value)}
defaultValue={technique}> defaultValue={technique}>
<select className="dropbtn"> <select className="dropbtn">
<option value = "pozycyjny"> Atak Pozycyjny </option> <option value = "Open Play"> Atak Pozycyjny </option>
<option value = "wolny"> Rzut Wolny </option> <option value = "Free Kick"> Rzut Wolny </option>
<option value = "karny"> Rzut Karny </option> <option value = "Penalty"> Rzut Karny </option>
<option value= "rozny"> Rzut Rozny </option> <option value= "Corner"> Rzut Rozny </option>
<option value="rozpoczecie"> Rozpoczęcie </option> <option value="rozpoczecie"> Rozpoczęcie </option>
</select> </select>
</form> </form>
@ -379,10 +379,10 @@ const Hero = () => {
onChange={event => setPossition(event.target.value)} onChange={event => setPossition(event.target.value)}
defaultValue={shooterPossition}> defaultValue={shooterPossition}>
<select className="dropbtn"> <select className="dropbtn">
<option value= "napastnik" > Napastnik </option> <option value= "Center Forward" > Napastnik </option>
<option value = "bramkarz"> Bramkarz </option> <option value = "Goalkeeper"> Bramkarz </option>
<option value = "obronca"> Obrońca </option> <option value = "Left Center Back"> Obrońca </option>
<option value = "pomocnik"> Pomocnik </option> <option value = "Right Wing"> Pomocnik </option>
</select> </select>
</form> </form>

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app/src/flask-server/modele/__pycache__/modele.cpython-310.pyc
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26
app/src/flask-server/modele/modele.py
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@ -1,15 +1,12 @@
from joblib import load from joblib import load
import pandas as pd import pandas as pd
from math import sqrt from math import sqrt
import numpy as np
import math import math
from sklearn.preprocessing import LabelEncoder import numpy as np
# Funkcja zwraca prawdopodobieństwo zdobycia gola # Funkcja zwraca prawdopodobieństwo zdobycia gola
def LogisticRegression_predict_proba(position_x, position_y, distance_to_goalM, angle, match_minute, Number_Intervening_Opponents, Number_Intervening_Teammates, isFoot, isHead): def LogisticRegression_predict_proba(position_x, position_y, distance_to_goalM, angle, match_minute, Number_Intervening_Opponents, Number_Intervening_Teammates, isFoot, isHead):
# distance_to_goalM = sqrt(( (position_x**2) + (position_y**2))) # distance_to_goalM = sqrt(( (position_x**2) + (position_y**2)))
model = load('regresja_logistyczna.joblib') model = load('regresja_logistyczna.joblib')
X_new = pd.DataFrame(columns=['position_x', 'position_y', 'distance_to_goalM', 'angle','match_minute', 'Number_Intervening_Opponents','Number_Intervening_Teammates', 'isFoot', 'isHead']) X_new = pd.DataFrame(columns=['position_x', 'position_y', 'distance_to_goalM', 'angle','match_minute', 'Number_Intervening_Opponents','Number_Intervening_Teammates', 'isFoot', 'isHead'])
X_new.loc[len(X_new.index)] = [position_x, position_y, distance_to_goalM, angle, match_minute, Number_Intervening_Opponents, Number_Intervening_Teammates, isFoot, isHead] X_new.loc[len(X_new.index)] = [position_x, position_y, distance_to_goalM, angle, match_minute, Number_Intervening_Opponents, Number_Intervening_Teammates, isFoot, isHead]
@ -102,7 +99,7 @@ def xgboost_predict_proba_v2(shooter,goalkeeper,teamMatesList,opponentsList, min
'shot_open_goal','shot_follows_dribble', 'shot_redirect', 'shot_open_goal','shot_follows_dribble', 'shot_redirect',
'x1', 'y1','number_of_players_opponents', 'x1', 'y1','number_of_players_opponents',
'number_of_players_teammates','angle', 'distance', 'number_of_players_teammates','angle', 'distance',
'x_player_opponent_Goalkeeper', 'x_player_opponent_8', 'x_player_opponent_Goalkeeper',
'x_player_opponent_1', 'x_player_opponent_2','x_player_opponent_3', 'x_player_opponent_1', 'x_player_opponent_2','x_player_opponent_3',
'x_player_opponent_4','x_player_opponent_5', 'x_player_opponent_6', 'x_player_opponent_4','x_player_opponent_5', 'x_player_opponent_6',
'x_player_teammate_2','x_player_opponent_9', 'x_player_opponent_10', 'x_player_teammate_2','x_player_opponent_9', 'x_player_opponent_10',
@ -139,8 +136,10 @@ def xgboost_predict_proba_v2(shooter,goalkeeper,teamMatesList,opponentsList, min
teamMatesList = zmienWMaciez(teamMatesList) teamMatesList = zmienWMaciez(teamMatesList)
opponentsList = zmienWMaciez(opponentsList) opponentsList = zmienWMaciez(opponentsList)
number_of_players_opponents = len(teamMatesList)
number_of_players_teammates = len(opponentsList) # DO ROZBUDOWY
number_of_players_opponents = 3
number_of_players_teammates = 3
# Bramkarz # Bramkarz
x_player_opponent_Goalkeeper = goalkeeper[0] x_player_opponent_Goalkeeper = goalkeeper[0]
y_player_opponent_Goalkeeper = goalkeeper[1] y_player_opponent_Goalkeeper = goalkeeper[1]
@ -151,16 +150,13 @@ def xgboost_predict_proba_v2(shooter,goalkeeper,teamMatesList,opponentsList, min
x_player_teammate_Goalkeeper = np.nan x_player_teammate_Goalkeeper = np.nan
y_player_teammate_Goalkeeper = np.nan y_player_teammate_Goalkeeper = np.nan
#Reszta Zawodnikow #Reszta Zawodnikow
print("AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA")
print(X_new.head)
X_new.loc[len(X_new.index)] = [minute, position_name, shot_body_part_name, X_new.loc[len(X_new.index)] = [minute, position_name, shot_body_part_name,
shot_technique_name,shot_type_name, shot_first_time, shot_technique_name,shot_type_name, shot_first_time,
shot_one_on_one,shot_aerial_won, shot_deflected, shot_one_on_one,shot_aerial_won, shot_deflected,
shot_open_goal,shot_follows_dribble, shot_redirect, shot_open_goal,shot_follows_dribble, shot_redirect,
shooter[0], shooter[1],number_of_players_opponents, shooter[0], shooter[1],number_of_players_opponents,
number_of_players_teammates,angle, distance, number_of_players_teammates,angle, distance,
x_player_opponent_Goalkeeper, opponentsList[8][0], x_player_opponent_Goalkeeper,
opponentsList[0][0], opponentsList[1][0], opponentsList[2][0], opponentsList[0][0], opponentsList[1][0], opponentsList[2][0],
opponentsList[3][0], opponentsList[4][0], opponentsList[5][0], opponentsList[3][0], opponentsList[4][0], opponentsList[5][0],
opponentsList[6][0], opponentsList[7][0], teamMatesList[8][0], opponentsList[6][0], opponentsList[7][0], teamMatesList[8][0],
@ -180,14 +176,12 @@ def xgboost_predict_proba_v2(shooter,goalkeeper,teamMatesList,opponentsList, min
x_player_teammate_Goalkeeper, y_player_teammate_Goalkeeper, x_player_teammate_Goalkeeper, y_player_teammate_Goalkeeper,
shot_kick_off] shot_kick_off]
categorical_columns = ['position_name', 'shot_technique_name', 'shot_type_name', 'number_of_players_opponents', 'number_of_players_teammates', 'shot_body_part_name'] # list all your object columns here
# X_new = pd.get_dummies(X_new, columns=categorical_columns)
X_new[categorical_columns] = X_new[categorical_columns].astype('category')
return model.predict_proba(X_new)[0][1].round(2) return model.predict_proba(X_new)[0][1].round(2)
# Pomocnicze Funkcje # Pomocnicze Funkcje
# trzeba uzupelnic
def sortNearestToShooter(playerList, shooter): def sortNearestToShooter(playerList, shooter):
return playerList return playerList
@ -204,14 +198,14 @@ def loc2angle(x, y):
rads = math.pi + rads if rads < 0 else rads rads = math.pi + rads if rads < 0 else rads
deg = math.degrees(rads) deg = math.degrees(rads)
return deg return deg
# zamiana stringa odzielonego ',' na liste
def konwertujDoListy(listaString): def konwertujDoListy(listaString):
listaString = listaString.split(",") listaString = listaString.split(",")
listaFloat = [] listaFloat = []
for elem in listaString: for elem in listaString:
listaFloat.append(float(elem)) listaFloat.append(float(elem))
return listaFloat return listaFloat
#Zamiana listy w formie [1x,1y,2x,2y,3x,3y...] do postaci maciezy [xi, yi]
def zmienWMaciez(lista): def zmienWMaciez(lista):
maciez = [] maciez = []
for i in range(0,len(lista),2): for i in range(0,len(lista),2):