代码搜索:validation

找到约 7,219 项符合「validation」的源代码

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www.eeworm.com/read/223885/14614365

htm 17.10.htm

Better Form Validation
www.eeworm.com/read/309119/3707468

package-list

javax.xml javax.xml.datatype javax.xml.namespace javax.xml.parsers javax.xml.transform javax.xml.transform.dom javax.xml.transform.sax javax.xml.transform.stream javax.xml.validation javax.xm
www.eeworm.com/read/359526/2975204

sh test_x509v3_nist.sh

#!/bin/sh # X.509 Path Validation Test Suite, Version 1.07 # http://csrc.nist.gov/pki/testing/x509paths_old.html # http://csrc.nist.gov/pki/testing/x509tests.tgz if [ -z "$1" ]; then echo "usage
www.eeworm.com/read/335836/12494191

htm 17.10.htm

Better Form Validation
www.eeworm.com/read/280592/10312521

m crossvalidate.m

function [s_opt, b_opt, res_mean, res_std] = crossvalidate(fun, K, steps, X, y, varargin) % CROSSVALIDATE Perform K-fold cross validation on a function. % [S_OPT, B_OBT, RES_MEAN, RES_STD] = CRO
www.eeworm.com/read/159921/10588242

m smoker_l1o.m

% SMOKER_L1O Leave One Out validation for SVM trained by SMO. % [l1o_err, margin, error] = smoker_l1o( K, labels, C, eps, tol, verb ) % % mandatory inputs: % K [N x N ] kernel matrix of N training pa
www.eeworm.com/read/421949/10676915

m smoker_l1o.m

% SMOKER_L1O Leave One Out validation for SVM trained by SMO. % [l1o_err, margin, error] = smoker_l1o( K, labels, C, eps, tol, verb ) % % mandatory inputs: % K [N x N ] kernel matrix of N training pa
www.eeworm.com/read/128468/14295536

m smoker_l1o.m

% SMOKER_L1O Leave One Out validation for SVM trained by SMO. % [l1o_err, margin, error] = smoker_l1o( K, labels, C, eps, tol, verb ) % % mandatory inputs: % K [N x N ] kernel matrix of N training pa
www.eeworm.com/read/38039/1088760

txt pgl_lwa_license.txt

# {100} (100) [0] pgl_lwa_license.Label License Validation 许可证验证 # [1] LicenseKeyEntry.HelpText Enter license key for this material 输入此材料的许可证密钥 # [2] GetLicenseKey.Label Get License &Key 获取许可证密钥(&K)
www.eeworm.com/read/430506/1929480

m smoker_l1o.m

% SMOKER_L1O Leave One Out validation for SVM trained by SMO. % [l1o_err, margin, error] = smoker_l1o( K, labels, C, eps, tol, verb ) % % mandatory inputs: % K [N x N ] kernel matrix of N training pa