C:\ProgramData\anaconda3\python.exe "D:\Users\ASUS\PycharmProjects\ML paper prediction\分类模型.py"
正在加载数据: D:/JW/BaiduSyncdisk/数据/SZML/rasters/merged_t1.csv
原始数据形状: (581151, 28)
清理后数据形状: (581151, 28)
正在提取年份特征...
识别到年份: [2022, 2023, 2024]
重构后数据形状: (1743453, 19)
特征列: ['AP', ' COD', ' DO', ' IOA', ' MP', ' Oil', ' pH', ' TN', ' TP', 'year', 'COD', 'DO', 'IOA', 'MP', 'Oil', 'pH', 'TN', 'TP', ' AP']
分析时间趋势...
正在对目标变量进行分级...
Jenks分级失败: All values have to be finite
分级方法: 分位数法
目标值分级分布:
MP
1 232462
2 232458
3 232460
4 232460
5 232460
Name: count, dtype: int64
正在训练模型...
训练集大小: 1394762 样本
测试集大小: 348691 样本
Traceback (most recent call last):
File "D:\Users\ASUS\PycharmProjects\ML paper prediction\分类模型.py", line 334, in <module>
main()
File "D:\Users\ASUS\PycharmProjects\ML paper prediction\分类模型.py", line 305, in main
model, scaler, X_test, y_test, y_pred = train_model(
^^^^^^^^^^^^
File "D:\Users\ASUS\PycharmProjects\ML paper prediction\分类模型.py", line 152, in train_model
model.fit(X_train_scaled, y_train)
File "C:\ProgramData\anaconda3\Lib\site-packages\sklearn\base.py", line 1473, in wrapper
return fit_method(estimator, *args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\ProgramData\anaconda3\Lib\site-packages\sklearn\ensemble\_forest.py", line 363, in fit
X, y = self._validate_data(
^^^^^^^^^^^^^^^^^^^^
File "C:\ProgramData\anaconda3\Lib\site-packages\sklearn\base.py", line 650, in _validate_data
X, y = check_X_y(X, y, **check_params)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\ProgramData\anaconda3\Lib\site-packages\sklearn\utils\validation.py", line 1318, in check_X_y
y = _check_y(y, multi_output=multi_output, y_numeric=y_numeric, estimator=estimator)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\ProgramData\anaconda3\Lib\site-packages\sklearn\utils\validation.py", line 1328, in _check_y
y = check_array(
^^^^^^^^^^^^
File "C:\ProgramData\anaconda3\Lib\site-packages\sklearn\utils\validation.py", line 1064, in check_array
_assert_all_finite(
File "C:\ProgramData\anaconda3\Lib\site-packages\sklearn\utils\validation.py", line 123, in _assert_all_finite
_assert_all_finite_element_wise(
File "C:\ProgramData\anaconda3\Lib\site-packages\sklearn\utils\validation.py", line 172, in _assert_all_finite_element_wise
raise ValueError(msg_err)
ValueError: Input y contains NaN.
最新发布
博客提及分级分布，但内容仅提示点击阅读全文，未提供更多关键信息。
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