代码搜索：Sign
找到约 10,000 项符合「Sign」的源代码
代码结果 10,000
www.eeworm.com/read/208524/4992517
java signonmodel.java
/*
*/
package org.impact.stars.signon.model;
/**
* This class represents the model data for the
* sign on info. Note that this object is immutable
* since it is intended to be read only.
*/
pu
www.eeworm.com/read/192559/5152748
c key1024.c
/* This file is only needed if run-time DLL and EXE signature checking is turned on.
The public key below should correspond to the private key used to sign the
executables
*/
const
www.eeworm.com/read/180488/5283279
c key1024.c
/* This file is only needed if run-time DLL and EXE signature checking is turned on.
The public key below should correspond to the private key used to sign the
executables
*/
const
www.eeworm.com/read/312185/3675419
java binaryprediction.java
package jboost.booster;
import jboost.examples.Label;
/**
* This is a prediction for a binary label, which consists of a single
* real valued number whose sign is the prediction and whose magnitud
www.eeworm.com/read/305566/3771789
c pfacc.c
/* Copyright (c) Colorado School of Mines, 1990.
/* All rights reserved. */
/*
FUNCTION: prime factor fft: complex to complex transform, in place
PARAMETERS:
isign i sign of
www.eeworm.com/read/305566/3772105
c pfacc.c
/* Copyright (c) Colorado School of Mines, 1990.
/* All rights reserved. */
/*
FUNCTION: prime factor fft: complex to complex transform, in place
PARAMETERS:
isign i sign of
www.eeworm.com/read/305566/3773087
c pfacc.c
/* Copyright (c) Colorado School of Mines, 1990.
/* All rights reserved. */
/*
FUNCTION: prime factor fft: complex to complex transform, in place
PARAMETERS:
isign i sign of
www.eeworm.com/read/409299/2235052
svn-base dualpca2test.m.svn-base
% A script to test dualPCA2 code
rand('state',0);
numTrainExamples = 1000;
numTestExamples = 1000;
numFeatures = 20;
trainX = rand(numTrainExamples, numFeatures);
trainY = sign(rand(num
www.eeworm.com/read/409299/2235055
m dualpca2test.m
% A script to test dualPCA2 code
rand('state',0);
numTrainExamples = 1000;
numTestExamples = 1000;
numFeatures = 20;
trainX = rand(numTrainExamples, numFeatures);
trainY = sign(rand(num