blob: e955383ab3613db038a640b51d520d3b30571f2f [file] [log] [blame]
#-------------------------------------------------------------
#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
#
#-------------------------------------------------------------
args <- commandArgs(TRUE)
# Set options for numeric precision
options(digits=22)
# Load required libraries
library("Matrix")
library("matrixStats")
# Read matrices and type
X = as.matrix(readMM(paste(args[1], "X.mtx", sep="")))
U = as.matrix(readMM(paste(args[1], "U.mtx", sep="")))
V = as.matrix(readMM(paste(args[1], "V.mtx", sep="")))
W = as.matrix(readMM(paste(args[1], "W.mtx", sep="")))
type = as.integer(args[2])
# Perform operations
if(type == 1) {
R = sum(W * (X - U %*% t(V))^2)
} else if(type == 2) {
R = sum(W * (U %*% t(V) - X)^2)
} else if(type == 3){
R = sum((X - W * (U %*% t(V)))^2)
} else if(type == 4){
R = sum((W * (U %*% t(V)) - X)^2)
} else if(type == 5){
R = sum((X - (U %*% t(V)))^2)
} else if(type == 6){
R = sum(((U %*% t(V)) - X)^2)
}
# Write the result R
write(R, paste(args[3], "R" ,sep=""))