# Generated by using Rcpp::compileAttributes() -> do not edit by hand
# Generator token: 10BE3573-1514-4C36-9D1C-5A225CD40393
FSVDupdaterBiases <- function(ratingMat, learningRate, regCoef, itemIdx, nrfeat, steps, globalbaseline) {
.Call('_rrecsys_FSVDupdaterBiases', PACKAGE = 'rrecsys', ratingMat, learningRate, regCoef, itemIdx, nrfeat, steps, globalbaseline)
}
FSVDupdater <- function(ratingMat, learningRate, regCoef, itemIdx, nrfeat, steps) {
.Call('_rrecsys_FSVDupdater', PACKAGE = 'rrecsys', ratingMat, learningRate, regCoef, itemIdx, nrfeat, steps)
}
FSVDupdaterSparseMatBiases <- function(sparseRatingMat, learningRate, regCoef, nrfeat, steps, nr_users, nr_items, globalbaseline) {
.Call('_rrecsys_FSVDupdaterSparseMatBiases', PACKAGE = 'rrecsys', sparseRatingMat, learningRate, regCoef, nrfeat, steps, nr_users, nr_items, globalbaseline)
}
FSVDupdaterSparseMat <- function(sparseRatingMat, learningRate, regCoef, nrfeat, steps, nr_users, nr_items) {
.Call('_rrecsys_FSVDupdaterSparseMat', PACKAGE = 'rrecsys', sparseRatingMat, learningRate, regCoef, nrfeat, steps, nr_users, nr_items)
}
itemMFCount <- function(sim_index, user_vector, pt) {
.Call('_rrecsys_itemMFCount', PACKAGE = 'rrecsys', sim_index, user_vector, pt)
}
ItemSimil <- function(x, DAMP) {
.Call('_rrecsys_ItemSimil', PACKAGE = 'rrecsys', x, DAMP)
}
ItemSimilSparseMat <- function(x, dim, DAMP) {
.Call('_rrecsys_ItemSimilSparseMat', PACKAGE = 'rrecsys', x, dim, DAMP)
}
predictIB <- function(data, s, simIndexKNN, simil, neigh, maximum, minimum, ItMeans, clamp) {
.Call('_rrecsys_predictIB', PACKAGE = 'rrecsys', data, s, simIndexKNN, simil, neigh, maximum, minimum, ItMeans, clamp)
}
predictUB <- function(data, s, simIndexKNN, simil, neigh, maximum, minimum, UsrMeans, clamp) {
.Call('_rrecsys_predictUB', PACKAGE = 'rrecsys', data, s, simIndexKNN, simil, neigh, maximum, minimum, UsrMeans, clamp)
}
predictUBSparse <- function(data, dim, s, simIndexKNN, simil, neigh, maximum, minimum, UsrMeans, clamp) {
.Call('_rrecsys_predictUBSparse', PACKAGE = 'rrecsys', data, dim, s, simIndexKNN, simil, neigh, maximum, minimum, UsrMeans, clamp)
}
predictUVBiases <- function(s, U, V, minimum, maximum, blglo, blusr, blitm, clamp) {
.Call('_rrecsys_predictUVBiases', PACKAGE = 'rrecsys', s, U, V, minimum, maximum, blglo, blusr, blitm, clamp)
}
predictUV <- function(s, U, V, minimum, maximum, clamp) {
.Call('_rrecsys_predictUV', PACKAGE = 'rrecsys', s, U, V, minimum, maximum, clamp)
}
UserSimil <- function(x, damp) {
.Call('_rrecsys_UserSimil', PACKAGE = 'rrecsys', x, damp)
}
UserSimilSparseMat <- function(x, dim, damp) {
.Call('_rrecsys_UserSimilSparseMat', PACKAGE = 'rrecsys', x, dim, damp)
}
weightedSlopeOneRM <- function(x) {
.Call('_rrecsys_weightedSlopeOneRM', PACKAGE = 'rrecsys', x)
}
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