| #------------------------------------------------------------- |
| # |
| # 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. |
| # |
| #------------------------------------------------------------- |
| |
| F = read($1, data_type="frame", format="csv", header=FALSE); |
| # as the method accepts the matrix so convert the non-numeric data into matrix |
| |
| # detect schema for transformation |
| schema = detectSchema(F) |
| s="" |
| for(i in 1: ncol(F)) { |
| if(as.scalar(schema[1,i]) == "STRING" | as.scalar(schema[1,i]) == "BOOLEAN" ) |
| s = s+as.integer(i)+","; |
| } |
| |
| # recode data frame |
| jspecR = "{ids:true, recode:["+s+"]}"; |
| [X, M] = transformencode(target=F, spec=jspecR); |
| # call the method |
| Y = imputeByFD(X, $2, $3, $4, FALSE); |
| |
| # getting the actual data back |
| dF = transformdecode(target=Y, spec=jspecR, meta=M); |
| |
| write(dF, $5, format="binary") |
