0

我正在为我的图像处理项目训练SVM分类器。我已经计算了正面和负面样本的特征,并且我正在给SVM机器。下面是它的代码 -将阵列阵列转换为单个一维矢量

from skimage.feature import local_binary_pattern 
from sklearn.svm import LinearSVC 
from sklearn.linear_model import LogisticRegression 
from sklearn.externals import joblib 
import argparse as ap 
import glob 
import os 
import numpy as np 
from config import * 
from sklearn.datasets import load_svmlight_file 
if __name__ == "__main__": 
    # Parse the command line arguments 
    parser = ap.ArgumentParser() 
    parser.add_argument('-p', "--posfeat", help="Path to the positive features directory", required=True) 
    parser.add_argument('-n', "--negfeat", help="Path to the negative features directory", required=True) 
    parser.add_argument('-c', "--classifier", help="Classifier to be used", default="LIN_SVM") 
    args = vars(parser.parse_args()) 

    pos_feat_path = args["posfeat"] 
    neg_feat_path = args["negfeat"] 

    # Classifiers supported 
    clf_type = args['classifier'] 

    fds = [] 
    labels = []  

    # Load the positive features 
    for feat_path in glob.glob(os.path.join(pos_feat_path,"*.feat")): 
     fd = joblib.load(feat_path) 
     fds.append(fd) 
     labels.append(1) 

    # Load the negative features 
    for feat_path in glob.glob(os.path.join(neg_feat_path,"*.feat")): 
     fd = joblib.load(feat_path) 
     fds.append(fd) 
     labels.append(0) 

    if clf_type is "LIN_SVM": 
     clf = LinearSVC() 
     print "Training a Linear SVM Classifier" 
     print fds 
     clf.fit(fds, labels) 
     # If feature directories don't exist, create them 
     if not os.path.isdir(os.path.split(model_path)[0]): 
      os.makedirs(os.path.split(model_path)[0]) 
     joblib.dump(clf, model_path) 
     print "Classifier saved to {}".format(model_path) 

其实这个问题是与clf.fit()。它接受feature参数作为列向量,但在我的情况下,fds是数组的数组。当我打印的FDS内容,我得到以下输出 -

[array([ 0.00277933, 0.00070328, 0.00168657, ..., 0.00408768, 
     0.00297903, 0.00028435]), array([ 6.52768819e-02, 2.63171446e-02, 2.08603860e-02, ..., 
     1.83740761e-03, 2.47804233e-03, 4.40952106e-18]), array([ 0., 0., 0., ..., 0., 0., 0.]), array([ 0.00620965, 0.01182592, 0.00999352, ..., 0.00089589, 
     0.00134092, 0.0026002 ]), array([ 0., 0., 0., ..., 0., 0., 0.]), array([ 3.64590106e-02, 5.63983750e-02, 6.84983685e-02, ..., 
     1.39839195e-03, -4.10784429e-20, -2.38254969e-18]), array([ 0.01085514, 0.01018574, 0.02266318, ..., 0.00684619, 
     0.00036176, 0.00130271]), array([ 2.16485104e-03, 1.50226723e-03, 3.21942375e-03, 
     2.64656094e-03, 2.37626208e-03, 1.34057657e-04, 
     2.39091821e-04, 8.97521723e-04, 1.38454609e-04, 
     1.24197312e-03, 1.60666499e-03, 1.92435265e-03, 
     3.34864054e-03, 4.85894399e-03, 3.66780053e-03, 
     1.40191912e-03, 2.38874303e-05, 1.26082007e-03, 
     6.97647267e-04, 3.96445045e-20, 9.20237544e-04, 
     9.11937075e-04, 2.84391853e-03, 2.27833476e-03, 
     8.45884552e-04, 7.49838529e-04, 9.92053442e-04, 
     3.71845597e-03, 8.97953013e-04, 4.03147212e-03, 
     3.63879390e-03, 3.47202846e-03, 2.49844107e-03, 
     3.58805258e-03, 1.81755692e-03, 6.15611050e-04, 
     3.87421125e-02, 5.28292081e-02, 4.50205552e-02, 
     1.87053052e-02, 2.38757517e-03, 5.76913479e-04, 
     1.08746617e-02, 4.45025259e-03, 1.65023747e-02, 
     4.88377889e-03, 1.37183167e-02, 3.05583432e-02, 
     1.45078200e-02, 1.54068986e-02, 1.25567916e-02, 
     3.15812077e-03, 2.03465022e-03, 1.30152773e-02, 
     1.17611551e-02, 8.41835019e-03, 7.26126040e-03, 
     7.09438642e-03, 4.13387457e-04, 3.67045146e-03, 
     3.24655772e-03, 3.62208618e-03, 7.05961786e-03, 
     5.32413350e-02, 2.94643428e-02, 5.24565899e-03, 
     9.08009594e-04, 1.17463672e-03, 1.40689894e-03, 
     2.44819931e-03, 3.55238586e-03, 2.68153796e-03, 
     1.02494651e-03, 1.74641589e-05, 9.21788648e-04, 
     5.10051628e-04, 2.89841944e-20, 6.72787925e-04, 
     6.66719432e-04, 2.07919581e-03, 1.66569613e-03, 
     6.18428270e-04, 5.48208787e-04, 7.25292704e-04, 
     1.52719734e-03, 2.52585599e-04, 5.04195253e-04, 
     5.49185184e-04, 1.97899522e-03, 8.02619830e-04, 
     1.19393286e-03, 2.24160583e-03, 2.96601637e-03, 
     2.83244534e-02, 3.86235636e-02, 3.29146383e-02, 
     1.36754945e-02, 1.74556206e-03, 4.21782859e-04, 
     7.95049185e-03, 3.25359058e-03, 1.20649266e-02, 
     3.57054272e-03, 1.00294950e-02, 2.23412797e-02, 
     1.06067027e-02, 1.12640214e-02, 9.18030115e-03, 
     2.30890984e-03, 1.48753777e-03, 9.51550118e-03, 
     3.26482882e-03, 4.71849778e-03, 2.04148875e-02, 
     5.97050449e-02, 3.04274415e-02, 2.23696435e-02, 
     -5.65191791e-19, 7.45718312e-04, 2.20736964e-03, 
     3.89248705e-02, 2.15414533e-02, 3.83511415e-03, 
     3.91414576e-03, 2.39010537e-02, 1.45339174e-02, 
     1.18966993e-02, 1.47790204e-02, 4.08729725e-02, 
     5.43413826e-04, 7.07381440e-03, 2.30874856e-02, 
     1.15286340e-01, 7.00020973e-02, 1.66219341e-02, 
     9.65820714e-04, 9.15703260e-03, 7.32836318e-03, 
     4.97580251e-03, 8.64347941e-03, 6.12213806e-02, 
     8.66396141e-02, 1.16438218e-02, 3.46289205e-03, 
     9.99954707e-19, 1.87641186e-03, 4.77370866e-04, 
     5.48322443e-04, 3.11589718e-20, 7.23269368e-04, 
     7.16745536e-04, 2.23520456e-03, 1.79067867e-03, 
     6.64830933e-04, 5.89342657e-04, 7.79713750e-04, 
     1.64178787e-03, 2.71537910e-04, 5.42026646e-04, 
     5.90392316e-04, 2.12748560e-03, 8.62842979e-04, 
     1.28351748e-03, 2.40980073e-03, 3.18856612e-03, 
     4.44089967e-04, 2.88681852e-04, 3.20667485e-04, 
     1.63589710e-03, 2.11776424e-03, 1.73073346e-03, 
     1.89914765e-03, 1.93551321e-03, 2.74125624e-04, 
     3.83845203e-03, 1.07820403e-02, 2.40176178e-02, 
     1.14025578e-02, 1.21091971e-02, 9.86912869e-03, 
     2.48215477e-03, 1.59915251e-03, 1.02294799e-02, 
     3.50979944e-03, 5.07254185e-03, 2.19466823e-02, 
     6.41849066e-02, 3.27105104e-02, 2.40481099e-02, 
     -6.07599950e-19, 8.01671957e-04, 2.37299569e-03, 
     2.52452640e-03, 1.79646442e-03, 3.03974636e-02, 
     1.35202488e-01, 2.95568822e-02, 8.82444253e-03, 
     2.61691132e-03, 1.93112678e-03, 1.00102477e-03, 
     5.84187914e-04, 7.60458546e-03, 2.48198140e-02, 
     1.23936645e-01, 7.52545799e-02, 1.78691314e-02, 
     1.03828935e-03, 9.84411423e-03, 7.87823386e-03, 
     5.34915299e-03, 9.29202749e-03, 6.58150179e-02, 
     9.31404632e-02, 1.25174952e-02, 3.72272399e-03, 
     1.07498453e-18, 2.01720508e-03, 5.13189539e-04, 
     2.74115205e-03, 2.42065051e-03, 1.83539029e-02, 
     1.58962250e-02, 3.77837253e-03, 3.56301635e-03, 
     2.99458196e-03, 1.90410601e-04, 2.39738687e-03, 
     2.12355483e-03, 3.51218114e-04, 7.01079183e-04, 
     7.63637297e-04, 2.75177592e-03, 1.11603600e-03, 
     1.66015342e-03, 3.11693371e-03, 4.12422037e-03, 
     5.74403923e-04, 3.73392782e-04, 4.14764293e-04, 
     2.11593546e-03, 2.73920191e-03, 2.23860064e-03, 
     2.45643437e-03, 2.50347106e-03, 3.54565167e-04, 
     5.12390092e-04, 4.03022742e-20, 1.13218940e-03, 
     1.39102995e-03, 2.38894617e-03, 1.89726190e-03, 
     1.63466741e-03, 1.39621447e-03, 1.07267287e-03, 
     4.53971653e-03, 6.56103077e-03, 2.83867264e-02, 
     8.30193538e-02, 4.23090969e-02, 3.11047978e-02, 
     -7.85894347e-19, 1.03691493e-03, 3.06932858e-03, 
     3.26532454e-03, 2.32361973e-03, 3.93173087e-02, 
     1.74876366e-01, 3.82300668e-02, 1.14138908e-02, 
     3.38481893e-03, 2.49779747e-03, 1.29476592e-03, 
     3.30566432e-03, 5.81677128e-03, 2.99128816e-02, 
     5.72199005e-02, 2.42549955e-02, 3.24375413e-03, 
     3.12173241e-03, 5.57935157e-03, 3.99256425e-04, 
     6.91881080e-03, 1.20186841e-02, 8.51278057e-02, 
     1.20471642e-01, 1.61906345e-02, 4.81512175e-03, 
     1.39042846e-18, 2.60913463e-03, 6.63780103e-04, 
     3.54551691e-03, 3.13096726e-03, 2.37396802e-02, 
     2.05608203e-02, 4.88709984e-03, 4.60854944e-03, 
     3.87331341e-03, 2.46284771e-04, 3.10087712e-03, 
     2.61093759e-03, 3.94157260e-03, 3.15819144e-03, 
     7.17143946e-03, 5.68248623e-03, 5.19881250e-03, 
     1.46679037e-03, 1.75533877e-03, 1.07150775e-03]), array([ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, ..., 
     1.71427415e-17, 1.49141851e-15, 1.13142094e-15]), array([ 0.07582537, 0.01128947, 0.00499143, ..., 0.00259608, 
     0.00437164, 0.00810198]), array([ 1.24500730e-02, 2.06806908e-02, 1.13564239e-02, ..., 
     1.38635639e-04, 3.59214729e-18, 6.05617914e-04]), array([ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, ..., 
     8.57137077e-18, -2.35712696e-16, 2.82855236e-16]), array([ 1.00419293e-02, 2.98379938e-02, 1.36988288e-02, 
     1.53794787e-02, 3.69879149e-03, 1.05807322e-02, 
     9.57733941e-03, 5.54598873e-03, 7.97046383e-03, 
     7.60044150e-03, 5.62515915e-03, 7.95557523e-03, 
     7.46200086e-03, 3.65604344e-03, 5.42450288e-03, 
     2.20858881e-03, 3.38844348e-03, 5.92794738e-03, 
     2.61374512e-03, 1.28500588e-03, 4.61032541e-03, 
     1.02903157e-02, 3.16831046e-02, 1.04887391e-02, 
     1.02502394e-03, 8.48660153e-04, 1.53897449e-03, 
     8.85590869e-03, 5.28265061e-03, 6.79200375e-03, 
     7.82124826e-03, 2.89332908e-03, 9.74789426e-03, 
     3.87239291e-03, 2.31933686e-03, 1.83105418e-03, 
     4.22846169e-02, 3.80646963e-02, 8.77437911e-03, 
     9.38874018e-03, 1.80134080e-02, 1.89301145e-02, 
     1.53909115e-02, 1.15075978e-03, 3.77233330e-02, 
     3.63161322e-03, 5.42777212e-03, 1.98190016e-02, 
     4.88949082e-02, 6.15634774e-02, 1.29291860e-02, 
     3.65290683e-03, 0.00000000e+00, 1.82853950e-03, 
     5.45654371e-03, 3.45406414e-03, 9.81383152e-04, 
     9.81986326e-03, 1.00335739e-02, 1.13913061e-03, 
     1.64660400e-03, 2.29052869e-03, 3.48408737e-03, 
     1.05300589e-02, 8.56577546e-03, 2.05927210e-02, 
     5.07037386e-02, 3.60376382e-02, 2.34924539e-02, 
     1.16494367e-02, 6.43764584e-03, 1.50920581e-03, 
     9.63808739e-03, 1.29422709e-02, 4.16020996e-02, 
     4.95608744e-02, 3.41212016e-02, 1.36411126e-02, 
     9.04121414e-03, 2.16982690e-03, 2.57533376e-03, 
     6.74441900e-03, 4.99160875e-03, 7.05955473e-03, 
     6.62157066e-03, 3.24427059e-03, 4.81355199e-03, 
     1.95983988e-03, 3.00680988e-03, 5.26029454e-03, 
     2.31936424e-03, 1.14027824e-03, 4.09107370e-03, 
     9.13133807e-03, 2.81147000e-02, 9.30741340e-03, 
     9.09577549e-04, 7.53077261e-04, 1.36564288e-03, 
     1.58766010e-03, 3.37538242e-03, 9.05139802e-03, 
     1.30465072e-02, 1.22976442e-02, 5.72141172e-03, 
     2.61824066e-03, 2.77473727e-03, 3.12641022e-03, 
     3.75221853e-02, 3.37775458e-02, 7.78613837e-03, 
     8.33130518e-03, 1.59845939e-02, 1.67980537e-02, 
     1.36574640e-02, 1.02115201e-03, 3.34746296e-02, 
     3.22259190e-03, 4.81645302e-03, 1.75868272e-02, 
     4.33879726e-02, 5.46297063e-02, 1.14729977e-02, 
     3.24148726e-03, 0.00000000e+00, 1.62259476e-03, 
     4.40925666e-03, 1.03080289e-02, 4.02471014e-02, 
     7.95836008e-02, 3.21026971e-02, 5.08106355e-03, 
     3.02090546e-03, 1.83154407e-03, 1.53160727e-18, 
     9.34407943e-03, 7.60102933e-03, 1.82734041e-02, 
     4.49930781e-02, 3.19787913e-02, 2.08465459e-02, 
     1.03373840e-02, 5.71258669e-03, 1.33922699e-03, 
     8.55256892e-03, 1.14846089e-02, 3.69165384e-02, 
     4.39789324e-02, 3.02781990e-02, 1.21047414e-02, 
     8.02292031e-03, 1.92544364e-03, 2.28527908e-03, 
     1.76035133e-03, 4.85343099e-03, 1.12399077e-02, 
     1.25868642e-02, 9.38685749e-03, 4.18635105e-03, 
     4.85282866e-03, 3.55451240e-03, 2.22414751e-03, 
     2.40131158e-03, 1.18056633e-03, 4.23561873e-03, 
     9.45396476e-03, 2.91080432e-02, 9.63626115e-03, 
     9.41714569e-04, 7.79684842e-04, 1.41389351e-03, 
     1.64375501e-03, 3.49464079e-03, 9.37120028e-03, 
     1.35074639e-02, 1.27321422e-02, 5.92355954e-03, 
     2.71074784e-03, 2.87277376e-03, 3.23687194e-03, 
     1.40457298e-03, 8.99593551e-04, 7.62588282e-03, 
     1.34684775e-02, 2.54216120e-02, 1.86096110e-03, 
     7.03846332e-04, 1.61466047e-03, 3.69902136e-04, 
     3.33645190e-03, 4.98662701e-03, 1.82082016e-02, 
     4.49209482e-02, 5.65598726e-02, 1.18783594e-02, 
     3.35601486e-03, 0.00000000e+00, 1.67992396e-03, 
     4.56504367e-03, 1.06722302e-02, 4.16691043e-02, 
     8.23954334e-02, 3.32369435e-02, 5.26058671e-03, 
     3.12763952e-03, 1.89625584e-03, 1.58572172e-18, 
     3.91101883e-04, 1.09678620e-02, 3.11576218e-02, 
     8.56000033e-02, 3.28877306e-02, 1.79750340e-02, 
     8.84814967e-04, 2.52962957e-04, 1.15424434e-03, 
     8.85474665e-03, 1.18903809e-02, 3.82208665e-02, 
     4.55327876e-02, 3.13479825e-02, 1.25324239e-02, 
     8.30638460e-03, 1.99347305e-03, 2.36602212e-03, 
     1.82254772e-03, 5.02491148e-03, 1.16370339e-02, 
     1.30315809e-02, 9.71851214e-03, 4.33426240e-03, 
     5.02428788e-03, 3.68009975e-03, 2.30273066e-03, 
     1.94769160e-03, 2.32858271e-03, 9.17937665e-03, 
     2.98328989e-02, 3.58401781e-02, 1.56781620e-02, 
     7.16552727e-03, 1.09781728e-03, 2.24428520e-03, 
     1.89775397e-03, 4.03464531e-03, 1.08192720e-02, 
     1.55946860e-02, 1.46995589e-02, 6.83888937e-03, 
     3.12962239e-03, 3.31668514e-03, 3.73704510e-03, 
     1.62161267e-03, 1.03860200e-03, 8.80426179e-03, 
     1.55496754e-02, 2.93498514e-02, 2.14852354e-03, 
     8.12607211e-04, 1.86416364e-03, 4.27060751e-04, 
     4.84657013e-03, 1.50413908e-03, 7.25643510e-03, 
     2.85078745e-02, 1.60210819e-02, 4.59817556e-03, 
     2.63947815e-03, 4.60802212e-04, 1.03463157e-03, 
     5.27045072e-03, 1.23213418e-02, 4.81079649e-02, 
     9.51274736e-02, 3.83728361e-02, 6.07347159e-03, 
     3.61093368e-03, 2.18927214e-03, 1.83075317e-18, 
     4.51536360e-04, 1.26626556e-02, 3.59722102e-02, 
     9.88272252e-02, 3.79696616e-02, 2.07526012e-02, 
     1.02153977e-03, 2.92051708e-04, 1.33260234e-03, 
     1.92050535e-03, 2.23247174e-02, 2.67249460e-02, 
     2.39157657e-02, 1.80724196e-02, 7.79629904e-03, 
     6.16250677e-03, 4.65559139e-03, 3.28074477e-03, 
     2.10417438e-03, 5.80137896e-03, 1.34352305e-02, 
     1.50452679e-02, 1.12202518e-02, 5.00400829e-03, 
     5.80065900e-03, 4.24876206e-03, 2.65855693e-03, 
     2.24865595e-03, 2.68840373e-03, 1.05978071e-02, 
     3.44427862e-02, 4.13783319e-02, 1.81008083e-02, 
     8.27277045e-03, 1.26745598e-03, 2.59108026e-03, 
     7.38388826e-04, 1.13856145e-03, 9.09884318e-03, 
     3.68504788e-02, 3.19515204e-02, 2.63534476e-03, 
     1.89872227e-03, 6.80209027e-04, 2.98910598e-04]), array([ 0., 0., 0., ..., 0., 0., 0.]), array([ 0.00337501, 0.0038908 , 0.03574201, ..., 0.00092693, 
     0.01126366, 0.06343084]), array([ 3.15868843e-02, 5.86536284e-03, 3.36624839e-02, ..., 
     4.57612692e-03, 4.57756636e-17, -1.06428418e-16]), array([ 0.00385122, 0.00432967, 0.00775764, ..., 0.00086161, 
     0.00021709, 0.00049941]), array([ 0.011524 , 0.02796046, 0.05111488, ..., 0.00238021, 
     0.00383298, 0.00954071]), array([ 0.02315484, 0.05619522, 0.0831222 , ..., 0.00152502, 
     0.00196837, 0.00498268]), array([ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, ..., 
     6.01456498e-18, 0.00000000e+00, 0.00000000e+00]), array([ 0., 0., 0., ..., 0., 0., 0.]), array([ 2.47301895e-02, 0.00000000e+00, 0.00000000e+00, ..., 
     2.10207273e-17, 1.68165818e-17, 0.00000000e+00]), array([ 2.28415738e-03, 3.11069199e-03, 9.69120593e-03, 
     6.21823490e-02, 3.06116400e-02, 5.71468930e-03, 
     0.00000000e+00, 2.44883606e-03, 4.00213343e-03, 
     7.91900433e-04, 5.67518439e-03, 6.99905611e-03, 
     1.51616639e-02, 1.81533198e-02, 1.78809230e-03, 
     3.10069103e-03, 3.09199858e-03, 2.26547450e-04, 
     2.77915277e-03, 1.93588007e-03, 2.14478798e-03, 
     6.01000390e-03, 6.97816680e-03, 2.21510312e-03, 
     1.93697266e-03, 2.13921138e-03, 2.75535010e-04, 
     3.88696919e-03, 5.37204816e-03, 2.32959376e-02, 
     2.22736028e-02, 1.63706631e-02, 2.38665981e-02, 
     5.24577019e-03, 9.67674620e-03, 9.37038726e-03, 
     1.71869372e-02, 1.33406486e-02, 5.96379750e-03, 
     2.57597087e-02, 8.62430123e-02, 5.30242817e-02, 
     4.81373197e-02, 3.11718521e-02, 9.95122286e-03, 
     5.80899602e-03, 4.96202221e-03, 7.53931346e-03, 
     1.21684372e-02, 7.36059551e-02, 4.84238368e-02, 
     3.85151738e-02, 1.00310586e-02, 1.02175972e-02, 
     1.91651213e-03, 8.90685188e-04, 1.39337366e-03, 
     -1.11916806e-18, 1.89730130e-03, 1.19910863e-18, 
     5.12504843e-04, 7.32863480e-04, 1.13961005e-03, 
     1.92927822e-03, 6.72659330e-03, 5.11359441e-03, 
     1.05964553e-02, 2.69740236e-03, 1.01146086e-03, 
     1.73974119e-03, 6.38973558e-04, 1.10564944e-03, 
     3.32994863e-03, 1.33145831e-02, 8.41895006e-03, 
     1.83728238e-02, 2.45025991e-02, 1.45865816e-02, 
     2.44589211e-02, 1.90770028e-02, 1.09942338e-02, 
     5.48865054e-04, 3.93346216e-03, 4.85103575e-03, 
     1.05085275e-02, 1.25820399e-02, 1.23932421e-03, 
     2.14908450e-03, 2.14305978e-03, 1.57019713e-04, 
     1.92622680e-03, 1.34175570e-03, 1.48654947e-03, 
     4.16552508e-03, 4.83655740e-03, 1.53528480e-03, 
     1.34251297e-03, 1.48268434e-03, 1.90972920e-04, 
     1.22943554e-02, 3.21757238e-02, 5.37967395e-02, 
     1.73660119e-02, 1.02993688e-02, 9.51304536e-04, 
     3.05121533e-03, 1.24018580e-03, 1.08432168e-03, 
     1.19122415e-02, 9.24638437e-03, 4.13349949e-03, 
     1.78540172e-02, 5.97749081e-02, 3.67510536e-02, 
     3.33639072e-02, 2.16051660e-02, 6.89717829e-03, 
     4.02620681e-03, 3.43917048e-03, 5.22548734e-03, 
     8.43392635e-03, 5.10161819e-02, 3.35624918e-02, 
     2.66948117e-02, 6.95251232e-03, 7.08180195e-03, 
     2.00376306e-02, 2.35542622e-02, 4.09049076e-02, 
     2.26962183e-02, 2.86014517e-02, 1.26147024e-02, 
     1.37020116e-02, 4.97423439e-03, 3.29693232e-03, 
     1.33717997e-03, 4.66219217e-03, 3.54422495e-03, 
     7.34438798e-03, 1.86956571e-03, 7.01042073e-04, 
     1.20581212e-03, 4.42871656e-04, 7.66324041e-04, 
     2.30798262e-03, 9.22831842e-03, 5.83516221e-03, 
     1.27341778e-02, 1.69827163e-02, 1.01099388e-02, 
     1.69524431e-02, 1.32222433e-02, 7.62008769e-03, 
     8.44157831e-03, 6.47360076e-03, 2.71822337e-03, 
     1.64374192e-02, 4.02230016e-02, 4.17892681e-02, 
     3.43222865e-02, 2.06433194e-02, 5.03072684e-03, 
     1.81144156e-03, 1.26179951e-03, 1.39796492e-03, 
     3.91729845e-03, 4.54834347e-03, 1.44379607e-03, 
     1.26251166e-03, 1.39433012e-03, 1.79592707e-04, 
     1.15617259e-02, 3.02583493e-02, 5.05909531e-02, 
     1.63311588e-02, 9.68562206e-03, 8.94615616e-04, 
     2.86939122e-03, 1.16628224e-03, 1.01970617e-03, 
     1.54569263e-02, 2.93328964e-02, 3.65188854e-02, 
     9.37014932e-03, 5.90287046e-03, 2.54989048e-03, 
     4.16839785e-19, -1.04209946e-19, 2.68138844e-03, 
     3.78628225e-03, 3.23422784e-03, 4.91409680e-03, 
     7.93134263e-03, 4.79760910e-02, 3.15624789e-02, 
     2.51040487e-02, 6.53820712e-03, 6.65979229e-03, 
     1.88435738e-02, 2.21506468e-02, 3.84673548e-02, 
     2.13437344e-02, 2.68970707e-02, 1.18629832e-02, 
     1.28854989e-02, 4.67781619e-03, 3.10046576e-03, 
     6.57489339e-03, 5.89197646e-03, 1.65745939e-02, 
     1.07850564e-02, 5.81424811e-03, 4.74631306e-03, 
     1.44939189e-03, 4.07471847e-03, 2.60309030e-03, 
     2.17044828e-03, 8.67839631e-03, 5.48744070e-03, 
     1.19753390e-02, 1.59707041e-02, 9.50748026e-03, 
     1.59422349e-02, 1.24343203e-02, 7.16600120e-03, 
     7.93853860e-03, 6.08783425e-03, 2.55624249e-03, 
     1.54579016e-02, 3.78260840e-02, 3.92990156e-02, 
     3.22769968e-02, 1.94131692e-02, 4.73094221e-03, 
     4.58748700e-03, 6.26731717e-04, 1.29942713e-02, 
     1.66994897e-02, 5.23927693e-02, 3.47067518e-02, 
     1.10702831e-02, 8.50793475e-03, 3.61883101e-03, 
     1.05810863e-02, 2.76919042e-02, 4.62999423e-02, 
     1.49459866e-02, 8.86410939e-03, 8.18736332e-04, 
     2.62601591e-03, 1.06736081e-03, 9.33216990e-04, 
     1.41459046e-02, 2.68449461e-02, 3.34214356e-02, 
     8.57539433e-03, 5.40220226e-03, 2.33361451e-03, 
     3.81484372e-19, -9.53710931e-20, 2.45395910e-03, 
     9.68689053e-03, 3.40046362e-02, 1.95740887e-02, 

     7.29174901e-03, 5.59183013e-03, 2.34797355e-03, 
     1.41984746e-02, 3.47442174e-02, 3.60971424e-02, 
     2.96472400e-02, 1.78314882e-02, 4.34549039e-03, 
     4.21372314e-03, 5.75668975e-04, 1.19355677e-02, 
     1.53389047e-02, 4.81240872e-02, 3.18790316e-02, 
     1.01683357e-02, 7.81475381e-03, 3.32398805e-03, 
     7.15864511e-03, 2.23975294e-02, 2.11049569e-02, 
     8.55663417e-03, 4.91762830e-02, 1.27232128e-02, 
     6.83987122e-03, 2.27773723e-03, 6.16178451e-03, 
     3.06646003e-03, 2.54343577e-03, 3.32853433e-03, 
     9.19226880e-03, 1.76784394e-02, 7.13207851e-03, 
     1.67260950e-03, 2.99755352e-04, 8.09506951e-04, 
     6.40663319e-03, 4.38101779e-04, 4.33530978e-03, 
     1.88219124e-02, 3.44139846e-02, 2.05521800e-02, 
     3.00896494e-02, 9.82413146e-03, 4.36021231e-04, 
     1.14912235e-03, 9.78694469e-04, 5.61239427e-03, 
     1.83075913e-02, 3.52533146e-02, 3.67903406e-02, 
     1.97564461e-02, 1.58691571e-03, 1.03836581e-03, 
     5.50154356e-03, 4.93011266e-03, 1.38687953e-02, 
     9.02439839e-03, 4.86507344e-03, 3.97147854e-03, 
     1.21277899e-03, 3.40952162e-03, 2.17813641e-03, 
     1.19303503e-02, 3.06836659e-02, 8.91770873e-03, 
     7.52329949e-03, 7.70403177e-03, 2.85135831e-03, 
     2.43832383e-03, 2.67502856e-03, 3.33053851e-03, 
     1.34214958e-02, 2.96811483e-02, 8.12940941e-03, 
     1.35628440e-02, 7.28220703e-03, 6.74775946e-03, 
     1.35236822e-02, 1.59988944e-02, 2.23522779e-02, 
     3.83858080e-03, 5.24417908e-04, 1.08729595e-02, 
     1.39733018e-02, 4.38396618e-02, 2.90408825e-02, 
     9.26306190e-03, 7.11901636e-03, 3.02805768e-03, 
     6.52132016e-03, 2.04035062e-02, 1.92260098e-02, 
     7.79484807e-03, 4.47981819e-02, 1.15904815e-02, 
     6.23092631e-03, 2.07495322e-03, 5.61320878e-03, 
     4.13679670e-02, 3.65996800e-02, 1.92106220e-02, 
     1.19064817e-02, 6.68462712e-03, 8.04271192e-03, 
     7.74439591e-04, 8.24640103e-03, 2.40608956e-02, 
     5.83625890e-03, 3.99098143e-04, 3.94934274e-03, 
     1.71462218e-02, 3.13501519e-02, 1.87224460e-02, 
     2.74108068e-02, 8.94950170e-03, 3.97202823e-04, 
     1.04681747e-03, 8.91562563e-04, 5.11273004e-03, 
     1.66776901e-02, 3.21147574e-02, 3.35149440e-02, 
     1.79975552e-02, 1.44563465e-03, 9.45921439e-04, 
     8.81922587e-03, 1.96011987e-02, 2.74321704e-02, 
     2.15755384e-02, 2.38825301e-02, 2.74034001e-03, 
     4.47157331e-03, 9.27394918e-04, 6.26538308e-03]), array([ 1.46869614e-02, 0.00000000e+00, 6.74961853e-03, ..., 
     5.97372865e-18, -5.79803075e-18, 1.05418741e-17]), array([ 0., 0., 0., ..., 0., 0., 0.]), array([ 6.39907559e-02, 2.37185990e-03, 0.00000000e+00, ..., 
     -3.39158065e-16, -1.59881698e-16, -1.16368016e-16]), array([ 0.01775981, 0.  , 0.02125695, ..., 0.00725893, 
     0.00505652, 0.11425592]), array([ 8.36622684e-02, 0.00000000e+00, 5.12932939e-02, ..., 
     -4.46473402e-18, 3.44422339e-17, -2.55127658e-18]), array([ 8.56730692e-02, 9.77617126e-03, 5.75159285e-03, ..., 
     1.03040390e-02, 6.19005808e-17, -6.44797717e-19]), array([ 0., 0., 0., ..., 0., 0., 0.]), array([ 3.26515286e-02, 0.00000000e+00, 3.59276747e-02, ..., 
     2.99950752e-16, -1.81788334e-16, 9.08941672e-17]), array([ 7.71669866e-02, 6.37272170e-03, 6.59405956e-03, ..., 
     1.69042884e-02, -9.23119768e-18, -6.17032687e-17]), array([ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, ..., 
     0.00000000e+00, 0.00000000e+00, -2.19427092e-15]), array([ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, ..., 
     -8.57137077e-17, -1.54284674e-16, 3.42854831e-17]), array([ 1.42126295e-03, 1.43564360e-02, 1.43729969e-02, ..., 
     2.27698485e-03, 5.29720282e-19, 4.22702751e-03]), array([ 2.61735012e-02, 2.53839045e-03, 1.07993726e-02, ..., 
     4.13179682e-03, 8.73881700e-04, 1.39557418e-17]), array([ 0.01348336, 0.02011074, 0.01089088, ..., 0.00640271, 
     0.00542313, 0.01164971]), array([ 0., 0., 0., ..., 0., 0., 0.]), array([ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, ..., 
     3.34283460e-16, -4.79996763e-16, -5.82853213e-16]), array([ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, ..., 
     -2.14284269e-18, 8.57137077e-18, -1.07142135e-18]), array([ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, ..., 
     -9.42850785e-17, 5.54996258e-16, -2.28427031e-15]), array([ 0., 0., 0., ..., 0., 0., 0.]), array([ 0.01736646, 0.02205019, 0.01496867, ..., 0.0007993 , 
     0.00236273, 0.00058242]), array([ 0.02973898, 0.02933299, 0.01211934, ..., 0.00509325, 
     0.00236023, 0.00843372]), array([ 0., 0., 0., ..., 0., 0., 0.]), array([ 0.0118332 , 0.00329815, 0.05391171, ..., 0.01341036, 
     0.01036899, 0.00677799 

有一种方法与上述数组的数组转换为单个列向量或列矩阵。

+0

您是否混淆了样本和特征的概念?因为看起来fds列表中的每个对象都是样本(内含功能)。在这种情况下,您可以简单地执行np.array(fds)以获取对象矩阵,其中每行都是数据集的样本,并且每个列都是样本的特征。在其他情况下,您可以使用np.vstack和np.hstack。 –

+0

对不起。它没有解决错误。 –

回答

0

最简单的解决方案似乎使用方法np.hstack。基本上它需要一系列数组并将它们水平堆叠以构成一个数组(列明智)。
查看完整说明here