代码搜索:predict

找到约 2,271 项符合「predict」的源代码

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ii predict2.ii

CMDLINE=CC -c -I. -I.. -I/tmp_mnt/dpi/matlab/extern/include -DMATLAB_MEX_FILE -I. -mips4 -64 -prelink -ptused -LANG:std -DPARTIAL_SEARCH -Ofast -DNDEBUG predict2.cpp PWD=/export/people/tstool/OpenTSTO
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c cg_predict.c

/* =========================================================================== Copyright (C) 1999-2005 Id Software, Inc. This file is part of Quake III Arena source code. Quake III Arena sourc
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m plot_predict.m

% plot_predict(x,out,err,e) % % Generates plots for evaluating the adaptive prediction problem. % % Input variables: % x : predictor input signal % out : predictor output signal %
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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) {
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hpp predict_antigen.hpp

/* * =========================================================================== * PRODUCTION $Log: predict_antigen.hpp,v $ * PRODUCTION Revision 1000.2 2004/04/12 19:29:37 gouriano * PRODUCTION
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cpp predict_antigen.cpp

/* * =========================================================================== * PRODUCTION $Log: predict_antigen.cpp,v $ * PRODUCTION Revision 1000.5 2004/06/01 20:55:28 gouriano * PRODUCTION
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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. *
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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. *
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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. *
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m predict_performance.m

function a = predict_performance(algorithm, algorithm_params, features, targets, region) % Predict the final performance of an algorithm from the learning curves % Inputs: % algorithm