ValueError: Input contains NaN, infinity or a value too large for dtype('float64').

[Ishank-811]

import pandas as pd
import numpy as np
from sklearn import datasets , linear_model
from sklearn.linear_model import LogisticRegression
df = pd.read_csv('Data_Train.csv')
pd.isnull(df).sum() > 0
data=df.describe()
df.isnull()
df.describe().columns
x1 = df[['Year', 'Seats']].values
y1= df[['Price']]
from sklearn.model_selection import train_test_split
x_train , x_test , y_train , y_test = train_test_split(x1, y1)
x_train.shape , x_test.shape , y_train.shape , y_test.shape
from sklearn.linear_model import LinearRegression
linreg = LinearRegression();
from sklearn.neighbors import KNeighborsClassifier
knn= KNeighborsClassifier()
knn.fit(x_train,y_train)

[Guanzhou-Ke]

Are you sure your problem should be posted here? I cannot see any error about gcForest.