User 547 | 7/29/2014, 6:47:24 PM
Hi, i have a matrix market with the heading 62k 70million 600million, i need to run wals, and rbm on this matrix. i tried wals with graphlab but the rank/dimension of the factorized U and V is very limited, i.e. when i increase the dimension the memory ran out. so i tried with the graphchi: ./toolkits/collaborativefiltering/wals --training=timesmallnetflix --validation=timesmallnetflixe --lambda=0.065 --minval=1 --maxval=5 --maxiter=6 --quiet=1 and it seems i can't define the dimension, so i'm wondering whether there is a way to tune the dimension for the wals.
the same problem with RBM in graphchi, are the parameters hard coded, is there any way to tune the alpha, beta and D?
also, when i run wals (the weight col was added) and rbm on the following matrix in your web, %%MatrixMarket matrix coordinate real general % Generated 27-Feb-2012 3 4 9 1 1 0.8147236863931789 2 1 0.9057919370756192 3 1 0.1269868162935061 2 2 0.6323592462254095 3 2 0.09754040499940952 1 3 0.2784982188670484 2 3 0.5468815192049838 3 3 0.9575068354342976 2 4 0.1576130816775483 each row in U and V matrices has different number of cols which basically is the dimension or the feature vectors of user/item, below is the #of cols per row in U and V matrices: 5 17 2 60 60 60 so, i'm wondering whether this result is correct, and how can i get the same number of features/dimension for each row?