代码搜索:predict

找到约 2,271 项符合「predict」的源代码

代码结果 2,271
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h yuce.h

#pragma once // Cyuce 对话框 class Cyuce : public CDialog { DECLARE_DYNAMIC(Cyuce) public: Cyuce(CWnd* pParent = NULL); // 标准构造函数 virtual ~Cyuce(); // 对话框数据 enum { IDD = IDD_DIAL
www.eeworm.com/read/314951/13555004

txt bayes.txt

function [predict, accuracy] = NaiveBayes(Train, Test) %Input: Training set and testing set, each row represents a instance, last column is label, begins from zero %Output:predict label by NaiveBaye
www.eeworm.com/read/480808/6661949

c svmpredict.c

#include #include #include #include "svm.h" #include "mex.h" #include "svm_model_matlab.h" #if MX_API_VER < 0x07030000 typedef int mwIndex; #endif #define CMD_LEN 20
www.eeworm.com/read/256924/11964276

h yuce.h

#pragma once // Cyuce 对话框 class Cyuce : public CDialog { DECLARE_DYNAMIC(Cyuce) public: Cyuce(CWnd* pParent = NULL); // 标准构造函数 virtual ~Cyuce(); // 对话框数据 enum { IDD = IDD_DIAL
www.eeworm.com/read/339624/12216474

m naivebayes.m

function [predict, accuracy] = NaiveBayes(Train, Test) %Input: Training set and testing set, each row represents a instance, last column is label, begins from zero %Output:predict label by NaiveBaye
www.eeworm.com/read/136572/13371487

cpp prune.cpp

/*************************************************************************/ /* */ /* Prune a decision tree and predict its
www.eeworm.com/read/277238/10651083

c cavlc.c

/***************************************************************************** * cavlc.c: h264 encoder library ***************************************************************************** * Copyri
www.eeworm.com/read/462846/7194333

m motion_estimation_2d.m

%!!!The function also use the function "EBMA" for motion estimation of every macroblock % An example of main function calling this function is "Prob6_12.m" and "Prob6_13.m", which can be entered on t
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c prune.c

/*************************************************************************/ /* */ /* Prune a decision tree and predict its error rate */ /* ------------------------------------------------
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c prune.c

/*************************************************************************/ /* */ /* Prune a decision tree and predict its error rate */ /* ------------------------------------------------