代码搜索：construct
找到约 6,584 项符合「construct」的源代码
代码结果 6,584
www.eeworm.com/read/493294/6400498
m confmat.m
%CONFMAT Construct confusion matrix
%
% [C,NE,LABLIST] = CONFMAT(LAB1,LAB2,METHOD,FID)
%
% INPUT
% LAB1 Set of labels
% LAB2 Set of labels
% METHOD 'count' (default) to count n
www.eeworm.com/read/481066/6657315
m cluster.m
function T = cluster(Z, cutoff, depth)
%CLUSTER Construct clusters from LINKAGE output.
% T = CLUSTER(Z, CUTOFF) constructs clusters from cluster tree Z. Z
% is a matrix of size M-1 by 3, gene
www.eeworm.com/read/406636/11438564
h tsample.h
#ifndef __TSAMPLE_H
#define __TSAMPLE_H
#include
// support 16-bit sample
class TSample
{
// Construct
public:
inline TSample() : iData(NULL){}
inline TSample(TInt16* a
www.eeworm.com/read/406636/11438591
cpp cmenu.cpp
#include
#include
#include
#include
#include "CMenu.h"
#include
#include
// Construct and destruct
// NewL()
CMen
www.eeworm.com/read/400577/11573376
m confmat.m
%CONFMAT Construct confusion matrix
%
% [C,NE,LABLIST] = CONFMAT(LAB1,LAB2,METHOD,FID)
%
% INPUT
% LAB1 Set of labels
% LAB2 Set of labels
% METHOD 'count' (default) to count n
www.eeworm.com/read/255755/12058342
m confmat.m
%CONFMAT Construct confusion matrix
%
% [C,NE,LABLIST] = CONFMAT(LAB1,LAB2,METHOD,FID)
%
% INPUT
% LAB1 Set of labels
% LAB2 Set of labels
% METHOD 'count' (default) to count n
www.eeworm.com/read/150905/12249744
m confmat.m
%CONFMAT Construct confusion matrix
%
% [C,NE,LABLIST] = CONFMAT(LAB1,LAB2,METHOD,FID)
%
% INPUT
% LAB1 Set of labels
% LAB2 Set of labels
% METHOD 'count' (default) to count n
www.eeworm.com/read/150226/12303979
m cluster.m
function T = cluster(Z, cutoff, depth)
%CLUSTER Construct clusters from LINKAGE output.
% T = CLUSTER(Z, CUTOFF) constructs clusters from cluster tree Z. Z
% is a matrix of size M-1 by 3, gene
www.eeworm.com/read/149739/12354006
m confmat.m
%CONFMAT Construct confusion matrix
%
% [C,NE,LABLIST] = CONFMAT(LAB1,LAB2,METHOD,FID)
%
% INPUT
% LAB1 Set of labels
% LAB2 Set of labels
% METHOD 'count' (default) to count n
www.eeworm.com/read/249982/12443632
m learn_params.m
function CPD = learn_params(CPD, fam, data, ns, cnodes, varargin)
% LEARN_PARAMS Construct classification/regression tree given complete data
% CPD = learn_params(CPD, fam, data, ns, cnodes)
%
% fam(i