PolynomialFeatures fit_transform是给值误差

我得到一个ValueError试图运行的多项式回归例如：PolynomialFeatures fit_transform是给值误差

from sklearn.preprocessing import PolynomialFeatures 
import numpy as np 

poly = PolynomialFeatures(degree=2) 
poly.fit_transform(X) ==> ERROR

的错误是：

File "/root/.local/lib/python2.7/site-packages/sklearn/base.py", line 426, in fit_transform 
    return self.fit(X, **fit_params).transform(X) 

File "/root/.local/lib/python2.7/site-packages/sklearn/preprocessing/data.py", line 473, in fit 
    self.include_bias) 

File "/root/.local/lib/python2.7/site-packages/sklearn/preprocessing/data.py", line 463, in _power_matrix 
    powers = np.vstack(np.bincount(c, minlength=n_features) for c in combn) 

File "/usr/lib/python2.7/dist-packages/numpy/core/shape_base.py", line 226, in vstack 
    return _nx.concatenate(map(atleast_2d,tup),0) 

File "/root/.local/lib/python2.7/site-packages/sklearn/preprocessing/data.py", line 463, in <genexpr> 

    powers = np.vstack(np.bincount(c, minlength=n_features) for c in combn) 
    ValueError: The first argument cannot be empty.

我scikit学习的版本是0.15.2 http://scikit-learn.org/stable/modules/linear_model.html#polynomial-regression-extending-linear-models-with-basis-functions

来源

2014-10-20 Subrata Mitra

什么是'X.shape'？ – 2014-10-20 17:49:42

>>> X.shape （3，2）这甚至发生在这个例子中：http://scikit-learn.org/stable/modules/linear_model.html#polynomial-regression-extending-linear-models- with-basis-functions – 2014-10-21 02:37:04

你能告诉我你使用的是NumPy版本吗？我无法在本地重现这一点。 – 2014-10-24 08:51:45

哟：

这例子取自ü应该尝试这样

poly = PolynomialFeatures(degree=2, include_bias=False)

注意，本例中的最终矩阵不具有第一列现在创建PolynomialFeatures类的对象时include_bias设置为false。

来源

2015-01-12 00:32:19 Spinov

PolynomialFeatures fit_transform是给值误差

回答

相关问题