代码搜索：classification
找到约 3,679 项符合「classification」的源代码
代码结果 3,679
www.eeworm.com/read/441973/1768102
java operationerrortype.java
package net.spy.memcached.ops;
/**
* Error classification.
*/
public enum OperationErrorType {
/**
* General error.
*/
GENERAL,
/**
* Error that occurred because the client did something s
www.eeworm.com/read/430506/1929405
m contents.m
% Bayes Classification.
%
% bayeserr - Computes the Bayesian risk for optimal classifier.
% bayescln - Classifier based on Bayes decision rule for Gaussians.
% bayesnd - Discrim. function, dic
www.eeworm.com/read/429426/1948662
py ensemble3.py
# Description: Defines a tree learner (trunks of depth less than 5) and uses them in forest tree, prints out the number of nodes in each tree
# Category: classification, ensembles
# Classes:
www.eeworm.com/read/429426/1948696
py tree3.py
# Author: J Zabkar
# Version: 1.0
# Description: Grow classification tree with a self-defined stopping criteria
# Category: modelling
# Uses: iris.tab
# Referenced: orngTree.
www.eeworm.com/read/429426/1948730
py accuracy.py
# Description: Learn a naive Bayesian classifier, and measure classification accuracy on the same data set
# Category: evaluation
# Uses: voting.tab
# Referenced: c_performance.htm
im
www.eeworm.com/read/429426/1948732
py accuracy3.py
# Category: evaluation
# Description: Set a number of learners, split data to train and test set, learn models from train set and estimate classification accuracy on the test set
# Uses: v
www.eeworm.com/read/428780/1954254
m andrerr.m
function [err,r,inx] = andrerr( model, distrib )
% ANDRERR Classification error of the Generalized Anderson's task.
%
% Synopsis:
% [err,r,inx] = andrerr( model, distrib )
%
% Description:
% This
www.eeworm.com/read/411379/2188957
m svc.m
function net = svc(arg, sv, w, bias)
% SVC
%
% Construct a support vector classification (SVC) network object.
%
% Examples:
%
% % default constructor (linear, hardmargin SVC with no suppo
www.eeworm.com/read/411379/2189008
m pairwise.m
function net = pairwise(arg)
% PAIRWISE
%
% Construct a pairwise multi-class support vector classification network.
%
% Examples:
%
% % default constructor (a 0-class pairwise network!)
%
www.eeworm.com/read/396844/2406589
m conffig.m
function fh=conffig(y, t)
%CONFFIG Display a confusion matrix.
%
% Description
% CONFFIG(Y, T) displays the confusion matrix and classification
% performance for the predictions mat{y} compared with