maxLocalAuc.alpha = 1.0 maxLocalAuc.alphas = 2.0**-numpy.arange(-5, 5, 1) maxLocalAuc.folds = 5 maxLocalAuc.initialAlg = "rand" maxLocalAuc.itemExpP = 1.0 maxLocalAuc.itemExpQ = 1.0 maxLocalAuc.lmbdas = numpy.linspace(0.5, 2.0, 7) maxLocalAuc.maxIterations = 100 maxLocalAuc.metric = "f1" maxLocalAuc.normalise = True maxLocalAuc.numAucSamples = 10 #maxLocalAuc.numProcesses = 1 maxLocalAuc.numRecordAucSamples = 100 maxLocalAuc.numRowSamples = 30 maxLocalAuc.rate = "optimal" maxLocalAuc.recommendSize = 5 maxLocalAuc.recordStep = 1 maxLocalAuc.rho = 1.0 maxLocalAuc.t0 = 1.0 maxLocalAuc.t0s = 2.0**-numpy.arange(-1, 6, 1) maxLocalAuc.validationSize = 5 maxLocalAuc.validationUsers = 0 t0s = 2.0**-numpy.arange(-2, 8, 1) #maxLocalAuc.maxIterations = 1 #maxLocalAuc.numProcesses = 1 meanObjsList = [] stdObjsList = []
