代码搜索：predict
找到约 2,271 项符合「predict」的源代码
代码结果 2,271
www.eeworm.com/read/348903/10861116
c lt_predict.c
/*
** FAAD2 - Freeware Advanced Audio (AAC) Decoder including SBR decoding
** Copyright (C) 2003-2005 M. Bakker, Nero AG, http://www.nero.com
**
** This program is free software; you can redistribut
www.eeworm.com/read/274050/10889717
c svm-predict.c
#include
#include
#include
#include
#include "svm.h"
char* line;
int max_line_len = 1024;
struct svm_node *x;
int max_nr_attr = 64;
struct svm_model* model;
www.eeworm.com/read/274050/10889741
java svm_predict.java
import libsvm.*;
import java.io.*;
import java.util.*;
class svm_predict {
private static double atof(String s)
{
return Double.valueOf(s).doubleValue();
}
private static int atoi(String s)
{
www.eeworm.com/read/417168/11001624
c svm-predict.c
#include
#include
#include
#include
#include "svm.h"
char* line;
int max_line_len = 1024;
struct svm_node *x;
int max_nr_attr = 64;
struct svm_model* model;
www.eeworm.com/read/417168/11001655
java svm_predict.java
import libsvm.*;
import java.io.*;
import java.util.*;
class svm_predict {
private static double atof(String s)
{
return Double.valueOf(s).doubleValue();
}
private static int atoi(String s)
{
www.eeworm.com/read/271227/11002481
java svm_predict.java
import libsvm.*;
import java.io.*;
import java.util.*;
class svm_predict {
private static double atof(String s)
{
return Double.valueOf(s).doubleValue();
}
private static int atoi(String s)
{
www.eeworm.com/read/417061/11004942
exe svm-predict.exe
www.eeworm.com/read/417061/11004955
c svm-predict.c
#include
#include
#include
#include
#include "svm.h"
struct svm_node *x;
int max_nr_attr = 64;
struct svm_model* model;
int predict_probability=0;
void pre
www.eeworm.com/read/417061/11004979
java svm_predict.java
import libsvm.*;
import java.io.*;
import java.util.*;
class svm_predict {
private static double atof(String s)
{
return Double.valueOf(s).doubleValue();
}
private static int atoi(String s)
{
www.eeworm.com/read/469416/6976108
m cwr_predict.m
function [mu, Sigma, weights, mask] = cwr_predict(cwr, X, mask_data)
% CWR_PREDICT cluster weighted regression: predict Y given X
% function [mu, Sigma] = cwr_predict(cwr, X)
%
% mu(:,t) = E[Y