| #------------------------------------------------------------- |
| # |
| # 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. |
| # |
| #------------------------------------------------------------- |
| |
| |
| #example usecase from LSML, orderedDistances.dml |
| |
| n_t = 1000; |
| n_f = 77; |
| X_train = matrix(1, rows=n_t,cols=n_f); |
| alldist = matrix(0, rows=n_t, cols=n_t); |
| parfor(r in 1:(n_t-1)) |
| { |
| Xr = X_train[r,]; |
| myd = matrix (0, rows = 1, cols = n_t) |
| parfor(c in (r+1):n_t) { |
| tmp = rowSums((Xr - X_train[c,])^2); |
| myd[1,c] = tmp; |
| } |
| alldist[r,] = myd; |
| } |
| alldist = alldist + t(alldist); |
| print(sum(alldist)); |
| |