-
Notifications
You must be signed in to change notification settings - Fork 0
/
predictor.py
35 lines (23 loc) · 888 Bytes
/
predictor.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
from sklearn.linear_model import LinearRegression
from sklearn.preprocessing import PolynomialFeatures
from csvReader import CSVReader
class Predictor:
model: LinearRegression
poly_features: PolynomialFeatures
def __init__(self):
print("Começo do treinamento")
data = CSVReader()
trainingX = data.getXTest()
trainingY = data.getYTest()
self.poly_features = PolynomialFeatures(degree=3)
polyX = self.poly_features.fit_transform(trainingX)
# fit final model
self.model = LinearRegression()
self.model = self.model.fit(polyX, trainingY)
print("Final do Treinamento")
def predict(self, player):
predictX = [[player.overall, player.age, player.position, player.preferredFoot]]
polyPredictX = self.poly_features.fit_transform(predictX)
predictY = self.model.predict(polyPredictX)
print("X=%s, Predicted=%s" % (predictX, predictY))
return predictY