代码搜索：classifiers

找到约 2,305 项符合「classifiers」的源代码

代码结果 2,305
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py owliftcurve.py

""" Lift Curve Displays a lift curve based on evaluation of classifiers. Tomaz Curk LiftCurve.png 1020
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www.eeworm.com/read/429426/1949334

py ownomogram.py

""" Nomogram Nomogram viewer for Naive Bayesian, logistic regression or linear SVM classifiers. icons/Nomogram.png Martin Mozina (mart
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www.eeworm.com/read/293183/8310754

m mclassc.m

%MCLASSC Computation of multi-class classifier from 2-class discriminants % % W = mclassc(A,classf) % % The untrained classifier classf is called to compute c classifiers % between each of the c class
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www.eeworm.com/read/204456/15339281

m rankboostc.m

function W = rankboostc(a,fracrej,T) %RANKBOOSTB Binary rankboost % % W = RANKBOOSTC(A,FRACREJ,T) % % Train a simple binary version of rankboost containing T weak % classifiers. The base (weak) cla
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www.eeworm.com/read/286662/8752023

m components_with_df.m

function [test_targets, errors] = Components_with_DF(train_patterns, train_targets, test_patterns, Ncomponents) % Classify points using component classifiers with discriminant functions % Inputs:
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www.eeworm.com/read/428849/8834846

m demo_linclass.m

function result = demo_linclass(action,hfigure,varargin) % DEMO_LINCLASS Demo on the algorithms learning linear classifiers. % % Synopsis: % demo_linclass % % Description: % DEMO_LINCLASS demonstrat
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www.eeworm.com/read/372113/9521385

m components_with_df.m

function [test_targets, errors] = Components_with_DF(train_patterns, train_targets, test_patterns, Ncomponents) % Classify points using component classifiers with discriminant functions % Inputs:
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www.eeworm.com/read/362246/10010367

m demo_linclass.m

function result = demo_linclass(action,hfigure,varargin) % DEMO_LINCLASS Demo on the algorithms learning linear classifiers. % % Synopsis: % demo_linclass % % Description: % DEMO_LINCLASS demonstrat
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www.eeworm.com/read/362008/10024033

m components_with_df.m

function [test_targets, errors] = Components_with_DF(train_patterns, train_targets, test_patterns, Ncomponents) % Classify points using component classifiers with discriminant functions % Inputs:
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www.eeworm.com/read/360995/10070102

m is_occ.m

%IS_OCC True for one-class classifiers % % IS_OCC(W) returns true if the classifier W is a one-class classifier, % outputting only classes 'target' and/or 'outlier' and having a % structure with t
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