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/289178/8570195
mexw32 predict.mexw32
www.eeworm.com/read/388611/8597174
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/388611/8597209
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/431668/8663248
c predict-c.c
/*****************************************************************************
* predict.c: h264 encoder
*****************************************************************************
* Copyright (C
www.eeworm.com/read/387376/8688592
h tif_predict.h
/* $Header: /cvsroot/osrs/libtiff/libtiff/tif_predict.h,v 1.1.1.1 1999/07/27 21:50:27 mike Exp $ */
/*
* Copyright (c) 1995-1997 Sam Leffler
* Copyright (c) 1995-1997 Silicon Graphics, Inc.
*
www.eeworm.com/read/387376/8688960
h tif_predict.h
/* $Header: /cvsroot/osrs/libtiff/libtiff/tif_predict.h,v 1.1.1.1 1999/07/27 21:50:27 mike Exp $ */
/*
* Copyright (c) 1995-1997 Sam Leffler
* Copyright (c) 1995-1997 Silicon Graphics, Inc.
*
www.eeworm.com/read/387376/8689333
h tif_predict.h
/* $Header: /cvsroot/osrs/libtiff/libtiff/tif_predict.h,v 1.1.1.1 1999/07/27 21:50:27 mike Exp $ */
/*
* Copyright (c) 1995-1997 Sam Leffler
* Copyright (c) 1995-1997 Silicon Graphics, Inc.
*
www.eeworm.com/read/287351/8691232
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/287351/8691275
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/286662/8751626
m predict_performance.m
function a = predict_performance(algorithm, algorithm_params, patterns, targets)
% Predict the final performance of an algorithm from the learning curves
% Inputs:
% algorithm - The a