sklearn SVM fit()"ValueError:设置具有序列的数组元素" [英] sklearn SVM fit() "ValueError: setting an array element with a sequence"

问题描述

我正在使用sklearn将svm应用到我自己的一组图像上.图像放置在数据框中. 我将具有2D列表的numpy数组传递给fit函数，这些2D列表表示图像，我传递给函数的第二个输入是目标列表(目标是数字). 我总是收到此错误"ValueError:设置具有序列的数组元素".

I am using sklearn to apply svm on my own set of images. The images are put in a data frame. I pass to the fit function a numpy array that has 2D lists, these 2D lists represents images and the second input I pass to the function is the list of targets (The targets are numbers). I always get this error "ValueError: setting an array element with a sequence".

trainingImages = images.ix[images.partID <=9]
trainingTargets = images.clustNo.ix[images.partID<=9]
trainingImages.reset_index(inplace=True,drop=True)
trainingTargets.reset_index(inplace=True,drop=True)

classifier = svm.SVC(gamma=0.001)
classifier.fit(trainingImages.image.values,trainingTargets.values.tolist())

错误:

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-43-5336fbeca868> in <module>()
      8 classifier = svm.SVC(gamma=0.001)
      9 
---> 10 classifier.fit(trainingImages.image.values,trainingTargets.values.tolist())
     11 
     12 #classifier.fit(t, list(range(0,2899)))

/Library/Frameworks/Python.framework/Versions/3.5/lib/python3.5/site-packages/sklearn/svm/base.py in fit(self, X, y, sample_weight)
    148         self._sparse = sparse and not callable(self.kernel)
    149 
--> 150         X = check_array(X, accept_sparse='csr', dtype=np.float64, order='C')
    151         y = self._validate_targets(y)
    152 

/Library/Frameworks/Python.framework/Versions/3.5/lib/python3.5/site-packages/sklearn/utils/validation.py in check_array(array, accept_sparse, dtype, order, copy, force_all_finite, ensure_2d, allow_nd, ensure_min_samples, ensure_min_features, warn_on_dtype, estimator)
    371                                       force_all_finite)
    372     else:
--> 373         array = np.array(array, dtype=dtype, order=order, copy=copy)
    374 
    375         if ensure_2d:

ValueError: setting an array element with a sequence.

推荐答案

我有相同的确切错误，这是两种可能性之一:

I had the same exact error, it's one of two possibilities:

1-数据和标签的长度不同.

1- Data and labels are not in the same length.

2-对于特定特征向量，元素数量不等于 相等.

2- For a specific feature vector, the number of elements are not equal.

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