| #------------------------------------------------------------- |
| # |
| # 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. |
| # |
| #------------------------------------------------------------- |
| |
| X = rand(rows=100, cols=1) |
| F = cbind(as.frame("sigmoid"),as.frame("normalize")); |
| ix = ifelse(sum(X)>1, 1, 2); |
| R1 = eval(as.scalar(F[1,ix]), X); |
| |
| #expected: sigmoid called --> TRUE |
| R2 = 1 / (1 + exp(-X)); # sigmoid expression |
| print(sum(R1==R2)==nrow(X)); |
