代码搜索：learner
找到约 833 项符合「learner」的源代码
代码结果 833
www.eeworm.com/read/429426/1949328
py owknn.py
"""
k Nearest Neighbours
K-nearest neighbours learner/classifier.
icons/kNearestNeighbours.png
Janez Demsar (janez.demsar(@at@)fri.uni
www.eeworm.com/read/429426/1949336
py owmajority.py
"""
Majority
Majority class learner/classifier.
icons/Majority.png
Janez Demsar (janez.demsar(@at@)fri.uni-lj.si)
www.eeworm.com/read/130196/5963109
m get_class_errors.m
function [trErrs, tstErrs, valErrs]=get_class_errors(rn, data)
% [trErrs, tstErrs, valErrs]=learner.get_class_errors(rn, data)
% G. Raetsch 1.6.98
% Copyright (c) 1998 GMD Berlin - All right
www.eeworm.com/read/130196/5963110
m get_mse.m
function [trErrs, tstErrs, valErrs]=mse_mse(rn, data)
% [trErrs, tstErrs, valErrs]=learner.get_mse(rn, data)
% G. Raetsch 1.6.98
% Copyright (c) 1998 GMD Berlin - All rights reserved
% TH
www.eeworm.com/read/106504/6192101
txt 19.txt
#"http://www.learner.org/redirect/ads/channel.html"
ACPB : Channel
Channel home
R
www.eeworm.com/read/325480/3483552
m get_class_errors.m
function [trErrs, tstErrs, valErrs]=get_class_errors(rn, data)
% [trErrs, tstErrs, valErrs]=learner.get_class_errors(rn, data)
% G. Raetsch 1.6.98
% Copyright (c) 1998 GMD Berlin - All right
www.eeworm.com/read/325480/3483553
m get_mse.m
function [trErrs, tstErrs, valErrs]=mse_mse(rn, data)
% [trErrs, tstErrs, valErrs]=learner.get_mse(rn, data)
% G. Raetsch 1.6.98
% Copyright (c) 1998 GMD Berlin - All rights reserved
% TH
www.eeworm.com/read/312185/3675471
java setsplitterbuilder.java
package jboost.learner;
import java.util.Arrays;
import jboost.CandidateSplit;
import jboost.NotSupportedException;
import jboost.booster.Bag;
import jboost.booster.AbstractBooster;
import jboost.bo
www.eeworm.com/read/312185/3675483
java sparsematrix.java
package jboost.learner;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Random;
import jboost.monitor.Monitor;
/** Sparse matrix implementation:
each row corresponds to an e
www.eeworm.com/read/299717/3851183
m get_class_errors.m
function [trErrs, tstErrs, valErrs]=get_class_errors(rn, data)
% [trErrs, tstErrs, valErrs]=learner.get_class_errors(rn, data)
% G. Raetsch 1.6.98
% Copyright (c) 1998 GMD Berlin - All right