--------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
/home/le243287/dev/scikit-learn/examples/svm/plot_rbf_parameters.py in <module>()
    117 scaler = StandardScaler()
    118 X = scaler.fit_transform(X)
--> 119 X_2d = scaler.fit_transform(X_2d)
    120 
    121 ##############################################################################

/home/le243287/dev/scikit-learn/sklearn/base.pyc in fit_transform(self, X, y, **fit_params)
    453         if y is None:
    454             # fit method of arity 1 (unsupervised transformation)
--> 455             return self.fit(X, **fit_params).transform(X)
    456         else:
    457             # fit method of arity 2 (supervised transformation)

/home/le243287/dev/scikit-learn/sklearn/preprocessing/data.pyc in fit(self, X, y)
    501         y: Passthrough for ``Pipeline`` compatibility.
    502         """
--> 503         return self.partial_fit(X, y)
    504 
    505     def partial_fit(self, X, y=None):

/home/le243287/dev/scikit-learn/sklearn/preprocessing/data.pyc in partial_fit(self, X, y)
    565             self.mean_, self.var_, self.n_samples_seen_ = \
    566                 _incremental_mean_and_var(X, self.mean_, self.var_,
--> 567                                           self.n_samples_seen_)
    568 
    569         if self.with_std:

/home/le243287/dev/scikit-learn/sklearn/utils/extmath.pyc in _incremental_mean_and_var(X, last_mean, last_variance, last_sample_count)
    730     updated_sample_count = last_sample_count + new_sample_count
    731 
--> 732     updated_mean = (last_sum + new_sum) / updated_sample_count
    733 
    734     if last_variance is None:

ValueError: operands could not be broadcast together with shapes (4,) (2,)