代码搜索：eval
找到约 10,000 项符合「eval」的源代码
代码结果 10,000
www.eeworm.com/read/245644/12786287
bio eval_svm.com.bio
4
1
10.0
Data/bio.app
Data/bio.test
Save_alpha/bio.alpha
SV/bio.sv
Data/bio.outputs
www.eeworm.com/read/245644/12786290
text eval_svm.com.text
4
2
10.0
Data/text.app
Data/text.test
Save_alpha/text.alpha
SV/text.sv
Data/text.outputs
www.eeworm.com/read/245644/12786297
gaussians eval_svm.com.gaussians
3
1
0.1
Data/gaussians.app
Data/gaussians.test
Save_alpha/gaussians.alpha
SV/gaussians.sv
Data/gaussians.outputs
www.eeworm.com/read/143999/12824285
zip codeshield_2.0eval.zip
www.eeworm.com/read/139460/13155293
m gademo1eval.m
function sol= gademo1eval(sol,options)
% Demonstration evaluation function used in gademo1.
% f(x)=x+10sin(5x)+7cos(4x)
%
% function [val,sol] = gaDemo1Eval(sol,options)
%
% val - the fittness of thi
www.eeworm.com/read/139460/13155304
asv gademo1eval.asv
function [val,sol ]= gademo1eval(sol,options)
% Demonstration evaluation function used in gademo1.
% f(x)=x+10sin(5x)+7cos(4x)
%
% function [val,sol] = gaDemo1Eval(sol,options)
%
% val - the fittness
www.eeworm.com/read/323410/13341007
m eval_ar_perf.m
function [ypred, ll, mse] = eval_AR_perf(coef, C, y, model)
% Evaluate the performance of an AR model.
%
% Inputs
% coef(:,:,k,m) - coef. matrix to use for k steps back, model m
% C(:,:,m) - cov
www.eeworm.com/read/136583/13370500
m eval_ar_perf.m
function [ypred, ll, mse] = eval_AR_perf(coef, C, y, model)
% Evaluate the performance of an AR model.
%
% Inputs
% coef(:,:,k,m) - coef. matrix to use for k steps back, model m
% C(:,:,m) - cov
www.eeworm.com/read/319979/13437918
inf tornado-vxsim-eval.inf
; INF file for Tornado
[AddIcon]
; format:
; group, item, exe, [args], [dir], [fmin], [iconIndex], [iconPath], [logValue], [osversion], [infVals]
Startup,Tornado Registry,host\x86-win32\bin\wtxregd.e
www.eeworm.com/read/319563/13448702
m eval_ar_perf.m
function [ypred, ll, mse] = eval_AR_perf(coef, C, y, model)
% Evaluate the performance of an AR model.
%
% Inputs
% coef(:,:,k,m) - coef. matrix to use for k steps back, model m
% C(:,:,m) - cov