Search - kernelFunction

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[Graph Drawing] kernelFunction DL : 0: 计算核函数矩阵 gauss laplace poly hpoly spline cauchy cubic r tps bubble -Calculation of nuclear function matrix gauss laplace poly hpoly spline cauchy cubic r tps bubble
Date : 2025-07-16 Size : 1kb User : dq
[Other] svmTrain DL : 0: [model] = SVMTRAIN(X, Y, C, kernelFunction, tol, max_passes) trains an SVM classifier and returns trained model. X is the matrix of training examples. Each row is a training example, and the jth column holds the jth feature. Y is a column matrix containing 1 for positive examples and 0 for negative examples. C is the standard SVM regularization parameter. tol is a tolerance value used for determining equality of floating point numbers. max_passes controls the number of iterations over the dataset (without changes to alpha) before the algorithm quits.- [model] = SVMTRAIN(X, Y, C, kernelFunction, tol, max_passes) trains an SVM classifier and returns trained model. X is the matrix of training examples. Each row is a training example, and the jth column holds the jth feature. Y is a column matrix containing 1 for positive examples and 0 for negative examples. C is the standard SVM regularization parameter. tol is a tolerance value used for determining equality of floating point numbers. max_passes controls the number of iterations over the dataset (without changes to alpha) before the algorithm quits.
Date : 2025-07-16 Size : 2kb User : yaoyt