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error(-215)

I've got this "error: (-215) _samples.type() == CV_32F in function cv::ml::SVMImpl::do_train",even if there is no data of the type of CV_32F

error(-215)

I've got this "error: (-215) _samples.type() == CV_32F in function cv::ml::SVMImpl::do_train",even if there is no data of the type of CV_32F

import numpy as np import cv2 as cv

preliminary of datas

pid,labels,pcl,nam,sex,age,sis,pac,tic,fare,cab,emb=np.loadtxt('train.csv' ,dtype=str,delimiter=',',usecols=(0,1,2,3,4,5,6,7,8,9,10,11),unpack=True) pid=pid[1:];labels=labels[1:];pcl=pcl[1:];nam=nam[1:]; sex=sex[1:];age=age[1:];sis=sis[1:];pac=pac[1:];tic=tic[1:];fare=fare[1:]; cab=cab[1:];emb=emb[1:]; age[np.where(age=='')]='18' cab[np.where(cab=='')]='999999' a_,b=np.loadtxt(nam,dtype=str,delimiter='-',unpack=True) nam,a_=np.loadtxt(b,dtype=str,delimiter='.',unpack=True) a_,nam=np.loadtxt(nam,dtype=str,delimiter=' ',unpack=True) nam[np.where(nam=='Miss')]=1 nam[np.where(nam=='Mr')]=2 nam[np.where(nam=='Mrs')]=3 nam[np.where(nam=='Master')]=4 nam[np.where(nam=='Rev')]=5 nam[np.where(nam=='Col')]=6 nam[np.where(nam=='Dr')]=7 nam[np.where(nam=='Mlle')]=8 nam[np.where(nam=='Lady')]=9 nam[np.where(nam=='Ms')]=10 nam[np.where(nam=='Major')]=11 nam[np.where(nam=='Sir')]=12 nam[np.where(nam=='Capt')]=13 nam[np.where(nam=='Jonkheer')]=14 nam[np.where(nam=='Mme')]=15 nam[np.where(nam=='Don')]=16 nam[np.where(nam=='the')]=17 sex[np.where(sex=='male')]=1 sex[np.where(sex=='female')]=0 emb[np.where(emb=='')]='S' emb[np.where(emb=='C')]=1 emb[np.where(emb=='S')]=2 emb[np.where(emb=='Q')]=3 pid=pid.astype(int) labels=labels.astype(int)

features

pcl=pcl.astype(int) nam=nam.astype(int) sex=sex.astype(int) age=age.astype(float) sis=sis.astype(int) pac=pac.astype(int) fare=fare.astype(float) emb=emb.astype(int) traindata=np.array([pcl,nam,sex,age,sis,pac,fare,emb]) traindata=traindata.astype(float) labels=labels.astype(float)

building SVM

svm=cv.ml.SVM_create() svm.train(traindata,cv.ml.ROW_SAMPLE,labels)

error(-215)

I've got this "error: (-215) _samples.type() == CV_32F in function cv::ml::SVMImpl::do_train",even if there is no data of the type of CV_32F

import numpy as np import cv2 as cvcv #preliminary of datas preliminary of datas pid,labels,pcl,nam,sex,age,sis,pac,tic,fare,cab,emb=np.loadtxt('train.csv' ,dtype=str,delimiter=',',usecols=(0,1,2,3,4,5,6,7,8,9,10,11),unpack=True) pid=pid[1:];labels=labels[1:];pcl=pcl[1:];nam=nam[1:]; sex=sex[1:];age=age[1:];sis=sis[1:];pac=pac[1:];tic=tic[1:];fare=fare[1:]; cab=cab[1:];emb=emb[1:]; age[np.where(age=='')]='18' cab[np.where(cab=='')]='999999' a_,b=np.loadtxt(nam,dtype=str,delimiter='-',unpack=True) nam,a_=np.loadtxt(b,dtype=str,delimiter='.',unpack=True) a_,nam=np.loadtxt(nam,dtype=str,delimiter=' ',unpack=True) nam[np.where(nam=='Miss')]=1 nam[np.where(nam=='Mr')]=2 nam[np.where(nam=='Mrs')]=3 nam[np.where(nam=='Master')]=4 nam[np.where(nam=='Rev')]=5 nam[np.where(nam=='Col')]=6 nam[np.where(nam=='Dr')]=7 nam[np.where(nam=='Mlle')]=8 nam[np.where(nam=='Lady')]=9 nam[np.where(nam=='Ms')]=10 nam[np.where(nam=='Major')]=11 nam[np.where(nam=='Sir')]=12 nam[np.where(nam=='Capt')]=13 nam[np.where(nam=='Jonkheer')]=14 nam[np.where(nam=='Mme')]=15 nam[np.where(nam=='Don')]=16 nam[np.where(nam=='the')]=17 sex[np.where(sex=='male')]=1 sex[np.where(sex=='female')]=0 emb[np.where(emb=='')]='S' emb[np.where(emb=='C')]=1 emb[np.where(emb=='S')]=2 emb[np.where(emb=='Q')]=3 pid=pid.astype(int) labels=labels.astype(int) features labels=labels.astype(int) #features pcl=pcl.astype(int) nam=nam.astype(int) sex=sex.astype(int) age=age.astype(float) sis=sis.astype(int) pac=pac.astype(int) fare=fare.astype(float) emb=emb.astype(int) traindata=np.array([pcl,nam,sex,age,sis,pac,fare,emb]) traindata=traindata.astype(float) labels=labels.astype(float) building SVM labels=labels.astype(float) #building SVM svm=cv.ml.SVM_create() svm.train(traindata,cv.ml.ROW_SAMPLE,labels)svm.train(traindata,cv.ml.ROW_SAMPLE,labels)

error(-215)

I've got this "error: (-215) _samples.type() == CV_32F in function cv::ml::SVMImpl::do_train",even if there is no data of the type of CV_32F

import numpy as np import cv2 as cv #preliminary of datas pid,labels,pcl,nam,sex,age,sis,pac,tic,fare,cab,emb=np.loadtxt('train.csv' ,dtype=str,delimiter=',',usecols=(0,1,2,3,4,5,6,7,8,9,10,11),unpack=True) pid=pid[1:];labels=labels[1:];pcl=pcl[1:];nam=nam[1:]; sex=sex[1:];age=age[1:];sis=sis[1:];pac=pac[1:];tic=tic[1:];fare=fare[1:]; cab=cab[1:];emb=emb[1:]; age[np.where(age=='')]='18' cab[np.where(cab=='')]='999999' a_,b=np.loadtxt(nam,dtype=str,delimiter='-',unpack=True) nam,a_=np.loadtxt(b,dtype=str,delimiter='.',unpack=True) a_,nam=np.loadtxt(nam,dtype=str,delimiter=' ',unpack=True) nam[np.where(nam=='Miss')]=1 nam[np.where(nam=='Mr')]=2 nam[np.where(nam=='Mrs')]=3 nam[np.where(nam=='Master')]=4 nam[np.where(nam=='Rev')]=5 nam[np.where(nam=='Col')]=6 nam[np.where(nam=='Dr')]=7 nam[np.where(nam=='Mlle')]=8 nam[np.where(nam=='Lady')]=9 nam[np.where(nam=='Ms')]=10 nam[np.where(nam=='Major')]=11 nam[np.where(nam=='Sir')]=12 nam[np.where(nam=='Capt')]=13 nam[np.where(nam=='Jonkheer')]=14 nam[np.where(nam=='Mme')]=15 nam[np.where(nam=='Don')]=16 nam[np.where(nam=='the')]=17 sex[np.where(sex=='male')]=1 sex[np.where(sex=='female')]=0 emb[np.where(emb=='')]='S' emb[np.where(emb=='C')]=1 emb[np.where(emb=='S')]=2 emb[np.where(emb=='Q')]=3 pid=pid.astype(int) labels=labels.astype(int) #features pcl=pcl.astype(int) nam=nam.astype(int) sex=sex.astype(int) age=age.astype(float) sis=sis.astype(int) pac=pac.astype(int) fare=fare.astype(float) emb=emb.astype(int) traindata=np.array([pcl,nam,sex,age,sis,pac,fare,emb]) traindata=traindata.astype(float) labels=labels.astype(float) #building SVM svm=cv.ml.SVM_create() svm.train(traindata,cv.ml.ROW_SAMPLE,labels)