代码搜索：classifier
找到约 4,824 项符合「classifier」的源代码
代码结果 4,824
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cpp cucontrol.cpp
// {{{RME classifier 'Logical View::ControlUnits::CUControl'
#if defined( PRAGMA ) && ! defined( PRAGMA_IMPLEMENTED )
#pragma implementation "rtg/CUControl.h"
#endif
#include
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cpp driversinterface.cpp
// {{{RME classifier 'Logical View::HWDrivers::DriversInterface'
#if defined( PRAGMA ) && ! defined( PRAGMA_IMPLEMENTED )
#pragma implementation "rtg/DriversInterface.h"
#endif
#include
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cpp cufrontpanel.cpp
// {{{RME classifier 'Logical View::ControlUnits::CUFrontPanel'
#if defined( PRAGMA ) && ! defined( PRAGMA_IMPLEMENTED )
#pragma implementation "rtg/CUFrontPanel.h"
#endif
#include
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cpp indicatorlight.cpp
// {{{RME classifier 'Logical View::HWDrivers::IndicatorLight'
#if defined( PRAGMA ) && ! defined( PRAGMA_IMPLEMENTED )
#pragma implementation "rtg/IndicatorLight.h"
#endif
#include
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cpp testresults.cpp
// {{{RME classifier 'Logical View::TestHarnesses::TestResults'
#if defined( PRAGMA ) && ! defined( PRAGMA_IMPLEMENTED )
#pragma implementation "rtg/TestResults.h"
#endif
#include
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py accuracy2.py
# Description: Set a number of learners, for each build a classifier from the data and determine classification accuracy
# Category: evaluation
# Uses: voting.tab
# Referenced: c_perform
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py nbdisc.py
# Description: Class that embeds naive Bayesian classifier, but when learning discretizes the data with entropy-based discretization (which uses training data only)
# Category: modelling
# Refere
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m contents.m
% Visualization for pattern recognition.
%
% pandr - Visualizes solution of the Generalized Anderson's task.
% pboundary - Plots decision boundary of given classifier in 2D.
% pgauss
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asv exp_psvm.asv
% PSVM Plots decision boundary of binary SVM classifier.
%
% Synopsis:
% h = psvm(...)
% psvm(model)
% psvm(model,options)
%
% Description:
% This function samples the Support Vector Machi
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m exp_psvm.m
% PSVM Plots decision boundary of binary SVM classifier.
%
% Synopsis:
% h = psvm(...)
% psvm(model)
% psvm(model,options)
%
% Description:
% This function samples the Support Vector Machi