代码搜索：Classifier
找到约 4,824 项符合「Classifier」的源代码
代码结果 4,824
www.eeworm.com/read/397111/8067352
m plotw.m
function h = plotw(w,nrc)
%PLOTW Plot the classifier w.
%
% h = plotw(w,nrc)
%
% Please use plotc instead.
% Copyright: D. Tax, R.P.W. Duin, davidt@ph.tn.tudelft.nl
% Faculty of Applied Physics, D
www.eeworm.com/read/449253/1678801
java c45.java
/**
* @(#)C45.java 1.5.0 09/01/18
*/
package ml.classifier.dt;
import ml.dataset.DataSet;
import ml.dataset.UCIDataSet;
import ml.util.TreeView;
import ml.util.Stopwatch;
import ml.util.Htm
www.eeworm.com/read/430506/1929462
m~ multisvmdemo1.m~
% Demonstration of multi-class SVM learning.
% loads data
data = load('multisvm1');
% setting SVM parameters
ker='rbf';
arg=1;
C=inf;
% learning SVM classifier
[model]=m2osmo( data.X, data.I, ker,
www.eeworm.com/read/429426/1949330
py owcn2.py
"""
CN2
Rule-based (CN2) learner/classifier.
CN2.png
Ales Erjavec (ales.erjavec(@at@)fri.uni-lj.si)
300
www.eeworm.com/read/373460/2761896
m~ multisvmdemo1.m~
% Demonstration of multi-class SVM learning.
% loads data
data = load('multisvm1');
% setting SVM parameters
ker='rbf';
arg=1;
C=inf;
% learning SVM classifier
[model]=m2osmo( data.X, data.I, ker,
www.eeworm.com/read/440394/7689989
m knn.m
function [Cmat,C_rate]=knn(Pr,Tr,Pt,Tt,kN)
% Usage: [Cmat,C_rate]=knn(Pr,Tr,Pt,Tt,kN)
% Pr: training feature vector K x N (prototype), the classifier
% Tr: training target vector K x S (labe
www.eeworm.com/read/397097/8069104
m lpdd.m
function W = lpdd(x,nu,dtype,par1,par2)
% W = lpdd(x,nu,dtype,p1,p2)
%
% One-class classifier put into a linear programming framework. From
% the data x the distance matrix is computed, and on this t
www.eeworm.com/read/130490/14189958
am makefile.am
CLEANFILES = *~
AM_CFLAGS = -I$(top_srcdir) $(GLIB_CFLAGS)
classifierdir = $(libdir)/select
classifier_LTLIBRARIES = activity.la alma.la from.la knn.la naivebayes.la naivebayesbin.la ngram.la percep
www.eeworm.com/read/482538/1287081
hh ipfilter.hh
#ifndef CLICK_IPFILTER_HH
#define CLICK_IPFILTER_HH
#include "elements/standard/classifier.hh"
#include
CLICK_DECLS
/*
=c
IPFilter(ACTION_1 PATTERN_1, ..., ACTION_N PATTERN_N)
=s
www.eeworm.com/read/288859/4003418
tcl simple_test.tcl
#Create a simulator object
set ns [new Simulator]
#set ch [new Channel]
#$ch set delay_ 1us
#set mcl [new Classifier/Mac]
#$ch target $mcl
#Open a trace file
set nf [open out.nam w]
$ns namtrace-a