adaboost.m

来自「Adaboost算法是一个著名的机器学习的算法」· M 代码 · 共 28 行

%%
% File Name: AdaBoost
% This is the implementation of the ada boost algorithm.
% Parameters - very easy to gues by name...
% Return values: i - hypothesis-index  vector.
%                t - threshhols vector
%                beta - weighted beta.
%%
function boosted=adaBoost(train,train_label,cycles)
    disp('running adaBoost algorithm');
    d=size(train);
	distribution=ones(1,d(1))/d(1);
	error=zeros(1,cycles);
	beta=zeros(1,cycles);
	label=(train_label(:)>=5);% contain the correct label per vector
	for j=1:cycles
        if(mod(j,10)==0)
            disp([j,cycles]);
        end
	[i,t]=weakLearner(distribution,train,label);
    error(j)=distribution*abs(label-(train(:,i)>=t));
    beta(j)=error(j)/(1-error(j));
    boosted(j,:)=[beta(j),i,t];
    distribution=distribution.* exp(log(beta(j))*(1-abs(label-(train(:,i)>=t))))';
    distribution=distribution/sum(distribution);
end