| #------------------------------------------------------------- |
| # |
| # 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. |
| # |
| #------------------------------------------------------------- |
| |
| F1 = read($1, data_type="frame", format="csv"); |
| |
| jspec = read($2, data_type="scalar", value_type="string"); |
| |
| [X, M] = transformencode(target=F1, spec=jspec); |
| |
| Cm = getCategoricalMask(M, jspec) |
| expectedColumns = $4 |
| if(ncol(Cm) != expectedColumns){ |
| stop("Wrong number of metadata columns in categorical mask") |
| } |
| # print mean to verify that Cm is a matrix, not a Frame according to compiler |
| print(mean(Cm)) |
| |
| write(Cm, $3, format="csv"); |
| |
