代码搜索:TestData
找到约 755 项符合「TestData」的源代码
代码结果 755
www.eeworm.com/read/126074/6018867
txt testdat1.txt
;***********************************************************************
; TESTDATA.BAT, October 1997
;
; This batch input file loads WXSYS.CLP into FuzzyCLIPS and
; executes the program. No data
www.eeworm.com/read/124399/6050118
txt testdat1.txt
;***********************************************************************
; TESTDATA.BAT, October 1997
;
; This batch input file loads WXSYS.CLP into FuzzyCLIPS and
; executes the program. No data
www.eeworm.com/read/409299/2234789
svn-base leastsquaresregressorpredict.m.svn-base
function [testInfo, predictionInfo] = leastSquaresRegressorPredict(trainData, testData, classifierInfo, params);
%A function to make predictions using least squares regression
if (nargin ~= 4)
www.eeworm.com/read/339586/3298313
sh runtests.sh
function die() {
echo "$1" >&2;
exit 1;
}
failed=0;
for i in \
testCoders \
testCountStream \
testData \
testDataPerformance \
testDataStream \
testDnsUtil \
testFifo \
testFileSyst
www.eeworm.com/read/409299/2235028
svn-base dualsparsedoublefeaturesproject.m.svn-base
function [testInfo, projectionInfo] = dualSparseDoubleFeaturesProject(trainData, testData, subspaceInfo, params)
%Extract new features on a test set for CCA features
if (nargin ~= 4)
fprintf
www.eeworm.com/read/487231/1239196
cc roadc.cc
/*
Jiangsu Olympiad in Informatics
Training Problem
Testdata Creator Program
Task: Road Construction
Author: Wenyuan Dai
Algorithm: Prim Algorithm
Complex: O
www.eeworm.com/read/487231/1240744
cc boosterc.cc
/*
Jiangsu Olympiad in Informatics
Training Problem
Testdata Creator Program
Task: Signal Booster
Author: Wenyuan Dai
Algorithm: Greedy Method
Complex: O(n)
www.eeworm.com/read/409299/2234860
svn-base partitiondata.m.svn-base
function [trainData, testData] = partitionData(d, trainIndices, testIndices)
%Partitions a dataset into training and test sets give some indices
% Copyright (C) 2006 Charanpal Dhanjal
% This
www.eeworm.com/read/409299/2234889
svn-base dualsparsegeneralfeaturesproject.m.svn-base
function [testInfo, projectionInfo] = dualSparseGeneralFeaturesProject(trainData, testData, subspaceInfo, params)
%Extract new features on a test set
if (nargin ~= 4)
fprintf('%s\n', help(spr
www.eeworm.com/read/409299/2234943
svn-base dualgreedypcaproject.m.svn-base
function [testInfo, projectionInfo] = dualGreedyPCAProject(trainData, testData, subspaceInfo, params)
%Find the projections for a greedy PCA on a test set
if (nargin ~= 4)
fprintf('%s\n', he