xgboost model fit error in python

[oldwan2]

When I use the following code in python: import xgboost as xgb import pandas as pd import numpy as np import matplotlib. pyplot as plt plt.style.use('seaborn-v0_8') import shap from sklearn. model_selection import train_test_split

my_random_state = 50

data = pd. read_csv('G:/Input for model.csv')

cols = [ 'Aspect', 'Aspect_cv', 'Slope_cv', 'Elevation_cv', 'Forest height', 'Root depth', 'Tree density', 'Drought intensity', 'Available water capacity', 'Soil clay', 'Soil sand', 'Precipitation', 'Native plant species richness' ]

x_all = data[cols].values y_all = data['y'].values x_train, x_test, y_train, y_test = train_test_split(x_all, y_all,test_size=0.3, random_state=my_random_state)

model = xgb. XGBRegressor(max_depth=4, learning_rate=0.05, n_estimators=150)

model. fit(x_train, y_train) Error occurs I have reinstalled the xgboost package and python several times, but it still doesn't work, what can I do?

[trivialfis]

Hi, could you please share how you install XGBoost?

[oldwan2]

Hi, could you please share how you install XGBoost?

thks for u reply,I use the windows powershell to install it.

[trivialfis]

@hcho3 Have you seen this on Windows before?

[trivialfis]

Closing due to unable to reproduce.