本文整理汇总了Python中sklearn.svm.SVR.prepareData方法的典型用法代码示例。如果您正苦于以下问题：Python SVR.prepareData方法的具体用法？Python SVR.prepareData怎么用？Python SVR.prepareData使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类sklearn.svm.SVR的用法示例。
在下文中一共展示了SVR.prepareData方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: SVR
# 需要导入模块: from sklearn.svm import SVR [as 别名]
# 或者: from sklearn.svm.SVR import prepareData [as 别名]
img[:,:,1] = np.random.rand(*img.shape[:-1])
img[0,0] = 3
img[1,1] = 3
img[3:6,3:6] = 50
dot[4,4] = 1
dot[5,5] = 1
dot[0,0] = 2
dot[1,1] = 2
backup_image = np.copy(img)
Counter = SVR(pMult, lMult, DENSITYBOUND, kernel = "linear", optimization =
"svr")
sigma = [0]
testimg, testdot, testmapping, testtags = Counter.prepareData(img, dot,
sigma,
normalize =
False, smooth
= True
)
#print "blub", testimg.shape
#print testimg
#print testdot, np.sum(testdot)
boxConstraints = []
#boxConstraints = [(12, img[:,:,:])]
#boxConstraints = [(3, img[0:30,0:30,:])]
#boxConstraints.reshape((-1, boxConstraints.shape[-1]))
success = Counter.fitPrepared(testimg[testmapping,:], testdot[testmapping], testtags, epsilon = 0.000,
boxConstraints = boxConstraints)
#success = Counter.fitPrepared(testimg[indices,:], testdot[indices], testtags[:len(indices)], epsilon = 0.000)
#print Counter.w, Counter.
print "learning finished"