ValueError: définition d'un élément de tableau avec une séquence. lors de l'utilisation de SVM dans scikit-learn
Je travaille sur des SVM scikit-learn pour un problème de classification binaire. J'ai calculé les caractéristiques des fichiers audio et les ai écrites dans un fichier CSV. Voici à quoi ressemble chaque ligne d'un fichier CSV:
"13_10 The Long And Winding Road " "[-6.5633095666136669e-16,-1.56E-15,-3.21E-15,-2.20E-
15,-2.52E-15,-3.04E-15,-3.39E-15,-3.47E-15,-3.07E-15,-6.02E-15,-3.00E-15,-4.77E-15,-3.05E-
15,-2.13E-15,-1.57E-15,-1.87E-15,-2.05E-15,-1.76E-15,-1.38E-15,-9.89E-16,-7.89E-16,-8.99E-
16,-1.09E-15,-7.26E-16,-8.68E-16,-4.68E-16,-2.82E-16,-1.99E-16,-1.75E-16,-2.18E-16,-1.43E-
16,-1.56E-16,-1.91E-16,-1.21E-16,-4.82E-17,-4.39E-17,-2.89E-17,-2.05E-17,0.0]" 0
La première colonne a le nom de l'audio, la deuxième colonne a le tableau de caractéristiques et le dernier élément est l'étiquette {0,1} pour la classification binaire.
Il y a 39 valeurs float dans le tableau. J'utilise le code suivant pour les extraire du fichier CSV.
with open('File.csv', 'rb') as csvfile:
albumreader = csv.reader(csvfile, delimiter=' ')
data = list()
for row in albumreader:
data.append(row[0:])
data = np.array(data)
X_train = list()
Y_train = list()
k = data.shape[0]
for i in range(k):
feature = data[i][1]
x = map(float, feature[1:-2].split(','))
X_train.append(x)
label = data[i][2]
y = float(label)
Y_train.append(y)
Ainsi, lorsque j'imprime X_train et Y_train, j'obtiens des valeurs exactes dans un tableau. Mais quand j'utilise
clf = svm.SVC(C=1.0, cache_size=200,kernel='linear', max_iter=-1)
clf.fit(X_train,Y_train)
Je reçois l'erreur en disant
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "C:\Python27\lib\site-
packages\spyderlib\widgets\externalshell\sitecustomize.py",line 540, in runfile
execfile(filename, namespace)
File "SVM_test.py", line 55, in <module>
clf.fit(X_train,Y_train)
File "sklearn\svm\base.py", line 137, in fit
File "sklearn\utils\validation.py", line 165, in atleast2d_or_csr
File "sklearn\utils\validation.py", line 142, in _atleast2d_or_sparse
File "sklearn\utils\validation.py", line 120, in array2d
File "C:\Python27\lib\site-packages\numpy\core\numeric.py", line 460, in asarray
return array(a, dtype, copy=False, order=order)
ValueError: setting an array element with a sequence.
Quelqu'un peut-il m'aider quant à ce que je peux faire maintenant? Je ne suis vraiment pas sûr de ce qui se passe à l'intérieur. Les dimensions de X_train et de Y_train sont identiques [X_train a 21 vecteurs avec 39 éléments et Y_train a 21 flottants {0 ou 1}, je ne vois pas ce qui a causé ces erreurs.
Remarque: J'ai le sentiment que quelque chose ne va pas bien lorsque je convertis le tableau numpy en chaîne, puis une chaîne en un tableau numpy. Merci d'avance.
Edit: X_Train est très grand. C'est ici..
[[93812.4999999983, 73189.57452, 48892.17363, 37682.69053, 33709.51536, 20815.68443, 12476.88854, 13364.13645, 9574.010981, 5844.293383, 7910.017736, 12721.38592, 14184.99241, 6988.131481, 9407.380437, 6333.852471, 5688.156663, 7167.61338, 6911.084942, 9210.064235, 5732.338515, 3585.039683, 4433.278772, 4757.658741, 3387.832928, 2711.640327, 2680.255742, 1649.410788, 2024.333977, 997.2348795, 1102.115501, 1386.86396, 1160.477719, 883.941971, 881.2712624, 749.3620066, 885.6355941, 514.1635441, 0.0], [93411.33935126709, 90714.51224, 89773.71828, 61018.71033, 28082.94493, 10120.93228, 11106.07725, 6204.140734, 5968.528906, 4970.099848, 6967.870007, 6990.611982, 7656.630743, 6615.957476, 5573.621516, 8957.245225, 8512.408652, 6976.021692, 7774.215884, 5301.046573, 4666.784091, 2539.587812, 2953.578612, 3529.863917, 2365.101263, 2579.870258, 2890.325096, 3302.179572, 2078.005268, 1425.18236, 1297.961119, 736.4896705, 640.0635888, 819.022382, 659.9559469, 438.2773842, 359.3957991, 193.9937669, 0.0], [95528.45827960827, 79000.64725, 75540.32258, 47915.39365, 29573.63325, 13554.15721, 10101.04124, 6935.685456, 13681.96711, 7726.754596, 9413.96529, 9468.785586, 10479.23762, 10070.81121, 8893.475453, 9517.553541, 8493.077533, 8021.721412, 8568.069341, 7687.282084, 9902.16325, 5442.263263, 5575.258138, 4748.557573, 4580.647869, 3014.91771, 3958.708771, 2851.846841, 3407.31788, 1982.369432, 1937.459179, 1689.049684, 1457.579778, 1055.411047, 1048.471861, 661.6174333, 827.8371903, 414.802354], [101683.46698748806, 62367.04137, 66444.15995, 49621.45404, 31623.19485, 16585.34427, 12271.46378, 12114.5615, 6666.281052, 9335.886213, 19314.70299, 22588.00911, 14133.31813, 12723.03772, 7994.399321, 11447.449, 15457.39519, 7419.208867, 9286.751692, 6128.746537, 5617.886066, 4461.131891, 4651.73188, 5835.270092, 3876.10397, 4499.228748, 2661.999151, 1431.362029, 1378.115091, 1048.827946, 1470.297845, 1087.453644, 825.6318213, 861.5003481, 804.8519616, 397.0719915, 368.8037827, 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155.124636], [129161.3158422606, 99871.12426, 69682.53863, 42152.57846, 27722.10719, 16851.46834, 12503.65957, 15820.8482, 10208.86252, 3737.281589, 11388.29292, 9216.418551, 8412.969115, 8915.691889, 7214.795344, 6312.935476, 5691.760401, 4452.333587, 6080.803383, 3169.211512, 4640.513939, 2965.070935, 2603.678979, 3427.596811, 2650.097593, 3407.197764, 2399.210804, 1585.540133, 900.6057596, 1562.799097, 1414.458688, 1085.727804, 862.853398, 1046.809149, 1299.422095, 452.1395434, 416.0278005, 342.487369], [97676.58730158686, 85928.37013, 60031.54702, 50283.65633, 30440.49477, 23396.44028, 17693.84492, 13834.72723, 13079.6, 9484.172923, 11026.12866, 15489.77935, 14751.23748, 7719.575611, 6916.062149, 9947.922301, 9860.230801, 6685.554777, 5314.504743, 6412.026375, 5126.472976, 3994.412881, 3469.94381, 3087.75188, 2150.012155, 2510.441776, 1633.896465, 1468.22101, 1451.997957, 1594.288508, 1208.749937, 1539.411357, 846.1440547, 1015.738147, 760.9050287, 531.4752058, 352.2906744, 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Y_Train est juste les étiquettes pour des ensembles individuels de fonctionnalités. C'est comme ça:
[0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0]
J'espère que cela pourra aider!
Enfin, j'ai trouvé la réponse à ma question à l'aide des idées de @larsmans et @eickenberg. Le problème était que X_train n'avait pas le même nombre d'éléments dans tous les tableaux. Donc, il n'a pas été possible de former un tableau 2D. Maintenant que j'ai ajouté une valeur supplémentaire à ce tableau, la dimensionnalité a été vérifiée pour tous les tableaux 1D et X_train a pu former un tableau 2D. Merci pour les idées les gars!
J'ai eu le même problème. La taille des données était cohérente, donc cela n'a pas aidé. Qu'est-ce qui a marché: Clf.fit (list (X_train), Y_train)
Je vois l'erreur lorsque X_train contient n éléments et que tous les éléments n ont pas la même taille ..__ La solution consiste à s'assurer que tous les n éléments du X_train ont la même taille, que ce soit par des techniques de remplissage ou de rognage.