SetParams.m

% Jun-Yan Zhu (junyanz at eecs dot berkeley dot edu)
% University of California, Berkeley
% Set Parameters for MCILBoost
% PARAMS = SetParams; 
% MCILBoost(PARAMS);
function PARAMS = SetParams()
PARAMS.mode      = 'train'; %'cross-validate'; %'cross-validate'; %'cross-validate';%'cross-validate'; %'cross-validate';  % train, test, cross-validate
PARAMS.dataFile  = 'toy.data';  
PARAMS.modelFile = 'toy.mcil';  % in train/test model, it's the model name in 'cross-validate' model, it's the name of the folder that stores all the data
PARAMS.resultFile = 'toy.result'; 
CLF.verbose      = 2;     % 0: none; 1: some; 2: more
CLF.softmaxType  = 0;     %  0: Gm, 1:Lse
CLF.numWeakClfs  = 150;   % number of weak classifiers
CLF.numCls       = 2;     % number of classes in the positive bags 
PARAMS.CLF       = CLF;   % set classifier parameters
PARAMS.isFix     = true;  % if use the same data partition for cross-validation
PARAMS.nFold     = 5;     % #folds for cross-validation
PARAMS.thres     = 0.5;   % threshold for prediction
end