XGBoost错误: /workspace/src/metric/elementwise_metric.cc:28:检查失败: preds.size() == info.labelsSize() (

Question

我是机器学习的新手，正在尝试解决kaggle竞赛中的房价问题。我正在尝试运行此代码并适合此模型，但由于我事先是novice...thank，因此输出了一个error..please帮助和解释

我尝试在谷歌中搜索，但显示多类错误，不知道它是什么，并显示解决方案为"mlogloss“或"merror”

import pandas as pd
from sklearn.ensemble import RandomForestRegressor
from sklearn.metrics import mean_absolute_error
from sklearn.model_selection import train_test_split
from sklearn.tree import DecisionTreeRegressor
from learntools.core import *
from xgboost import XGBRegressor


iowa_file_path = '../input/train.csv'

home_data = pd.read_csv(iowa_file_path)

y = home_data.SalePrice

features = ['LotArea', 'YearBuilt', '1stFlrSF', '2ndFlrSF', 'FullBath', 
'BedroomAbvGr', 'TotRmsAbvGrd']
X = home_data[features]


train_X, val_X, train_y, val_y = train_test_split(X, y, random_state=1)


iowa_model = XGBRegressor(n_estimators=1000,learning_rate=0.05)

iowa_model.fit(train_X, train_y,early_stopping_rounds=5,eval_set= 
[(train_X,val_y)],verbose=False)

Answer 1

你得到了一个‘输入错误’的尝试

iowa_model.fit(train_X, train_y,early_stopping_rounds=5,eval_set= [(val_X,val_y)],verbose=False)