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d56e7df90f
git-svn-id: svn://svn.linuxfromscratch.org/BLFS/trunk/BOOK@22828 af4574ff-66df-0310-9fd7-8a98e5e911e0
156 lines
4.3 KiB
XML
156 lines
4.3 KiB
XML
<?xml version="1.0" encoding="ISO-8859-1"?>
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<!DOCTYPE sect1 PUBLIC "-//OASIS//DTD DocBook XML V4.5//EN"
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"http://www.oasis-open.org/docbook/xml/4.5/docbookx.dtd" [
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<!ENTITY % general-entities SYSTEM "../../general.ent">
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%general-entities;
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<!ENTITY liblinear-download-http "https://github.com/cjlin1/liblinear/archive/v&liblinear-version;/liblinear-&liblinear-version;.tar.gz">
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<!ENTITY liblinear-download-ftp " ">
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<!ENTITY liblinear-md5sum "5ce74bbcc402be5715b3d62d3b37c432">
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<!ENTITY liblinear-size "516 KB">
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<!ENTITY liblinear-buildsize "1.4 MB">
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<!ENTITY liblinear-time "less than 0.1 SBU">
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]>
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<sect1 id="liblinear" xreflabel="liblinear-&liblinear-version;">
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<?dbhtml filename="liblinear.html"?>
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<sect1info>
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<othername>$LastChangedBy$</othername>
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<date>$Date$</date>
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</sect1info>
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<title>liblinear-&liblinear-version;</title>
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<indexterm zone="liblinear">
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<primary sortas="a-liblinear">liblinear</primary>
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</indexterm>
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<sect2 role="package">
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<title>Introduction to liblinear</title>
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<para>
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This package provides a library for learning linear classifiers for large
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scale applications. It supports Support Vector Machines (SVM) with L2 and
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L1 loss, logistic regression, multi class classification and also Linear
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Programming Machines (L1-regularized SVMs). Its computational complexity
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scales linearly with the number of training examples making it one of the
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fastest SVM solvers around.
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</para>
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&lfs91_checked;
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<note>
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<para>
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After updating this package from
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<application>liblinear-1.96</application> or earlier, you need to
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reinstall <xref linkend="nmap"/>, in order to link to the new library.
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</para>
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</note>
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<bridgehead renderas="sect3">Package Information</bridgehead>
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<itemizedlist spacing="compact">
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<listitem>
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<para>
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Download (HTTP): <ulink url="&liblinear-download-http;"/>
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</para>
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</listitem>
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<listitem>
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<para>
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Download (FTP): <ulink url="&liblinear-download-ftp;"/>
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</para>
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</listitem>
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<listitem>
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<para>
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Download MD5 sum: &liblinear-md5sum;
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</para>
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</listitem>
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<listitem>
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<para>
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Download size: &liblinear-size;
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</para>
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</listitem>
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<listitem>
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<para>
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Estimated disk space required: &liblinear-buildsize;
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</para>
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</listitem>
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<listitem>
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<para>
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Estimated build time: &liblinear-time;
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</para>
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</listitem>
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</itemizedlist>
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<para condition="html" role="usernotes">
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User Notes: <ulink url="&blfs-wiki;/liblinear"/>
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</para>
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</sect2>
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<sect2 role="installation">
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<title>Installation of liblinear</title>
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<para>
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Install <application>liblinear</application> by running the following commands:
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</para>
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<screen><userinput>make lib</userinput></screen>
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<para>
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This package does not come with a test suite.
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</para>
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<para>
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Now, as the <systemitem class="username">root</systemitem> user:
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</para>
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<screen role="root"><userinput>install -vm644 linear.h /usr/include &&
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install -vm755 liblinear.so.3 /usr/lib &&
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ln -sfv liblinear.so.3 /usr/lib/liblinear.so</userinput></screen>
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</sect2>
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<sect2 role="content">
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<title>Contents</title>
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<segmentedlist>
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<segtitle>Installed Programs</segtitle>
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<segtitle>Installed Library</segtitle>
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<segtitle>Installed Directories</segtitle>
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<seglistitem>
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<seg>
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None
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</seg>
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<seg>
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liblinear.so
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</seg>
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<seg>
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None
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</seg>
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</seglistitem>
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</segmentedlist>
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<variablelist>
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<bridgehead renderas="sect3">Short Descriptions</bridgehead>
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<?dbfo list-presentation="list"?>
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<?dbhtml list-presentation="table"?>
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<varlistentry id="liblinear-lib">
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<term><filename class="libraryfile">liblinear.so</filename></term>
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<listitem>
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<para>
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is a large linear classification library.
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</para>
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<indexterm zone="liblinear liblinear-lib">
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<primary sortas="c-liblinear">liblinear.so</primary>
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</indexterm>
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</listitem>
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</varlistentry>
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</variablelist>
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</sect2>
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</sect1>
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