| #------------------------------------------------------------- |
| # |
| # 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. |
| # |
| #------------------------------------------------------------- |
| |
| |
| A = read($X); |
| B = smote(X = A, s=$S, k=$K); |
| |
| # test if all point fall in same cluster (closed to each other) |
| # read some new data T != A |
| T = read($T); |
| # bind all instanced of minority class |
| A_B = rbind(A, B) |
| n = nrow(A_B) |
| # group data into k=2 clusters |
| [C, Y] = kmeans(rbind(A_B, T), 2, 10, 100, 0.000001, FALSE, 50) |
| # check if the instances of A and B fall in same cluster |
| check = matrix(as.scalar(Y[1,1]), n, 1) |
| testSum = sum(check - Y[1:n,]) |
| # hack for avoiding null pointer exception while reading a single zero in HashMap |
| testSum = ifelse(testSum == 0, 1, testSum) |
| testSum = as.matrix(testSum) |
| write(testSum, $Z); |
