from sklearn.ensemble import VotingRegressor. 当我尝試匯入時，它会丟擲錯誤： ImportError: cannot import name 'VotingRegressor' from 'sklearn.ensemble' (C:\ProgramData\Anaconda3\lib\site-packages\sklearn\ensemble__init__.py)
... functions/classes of the module sklearn.ensemble , or try the search function . ... X) assert_raise_message(NotFittedError, msg % 'VotingRegressor', ...
import pandas as pd import numpy as np import matplotlib.pyplot as plt import ... name print("Geography PctSomeCol18_24 dropped for " + df_name(data)) ...
sklearn.ensemble .VotingRegressor ¶. class sklearn.ensemble.VotingRegressor(estimators, *, weights=None, n_jobs=None, verbose=False) [source] ¶. Prediction voting regressor for unfitted estimators. A voting regressor is an ensemble meta-estimator that fits several base regressors, each on the whole dataset.
sklearn.ensemble.StackingRegressor¶ class sklearn.ensemble. StackingRegressor (estimators, final_estimator = None, *, cv = None, n_jobs = None, passthrough = False, verbose = 0) [source] ¶. Stack of estimators with a final regressor. Stacked generalization consists in stacking the output of individual estimator and use a regressor to compute the final prediction.
23.12.2015 · import numpy as np from sklearn.datasets import load_boston from sklearn.ensemble import RandomForestRegressor from sklearn.pipeline import Pipeline from sklearn.preprocessing import Imputer from sklearn.cross_validation import cross_val_score. It is a very start of some example from scikit-learn site.
Prediction voting regressor for unfitted estimators. A voting regressor is an ensemble meta-estimator that fits several base regressors, each on the whole ...
10.08.2017 · ImportError: cannot import name ‘<name>’ 出现此问题一般是因为在导入模块时顺序上了问题 看如下例子：./test ├── main.py ├── sub_a.py ├── sub_b.py # main.py from sub_a import x print(x + 1) # sub_a.py from sub_b import b a = 1 x = a + b print(x) # sub_b.py from sub_a import a b = a + 1. 运行：