| #------------------------------------------------------------- |
| # |
| # 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. |
| # |
| #------------------------------------------------------------- |
| |
| |
| XCatFile = $XCat; |
| YFile = $Y; |
| num_records = $num_records; |
| num_cat_features = $num_cat; |
| num_class = $num_class; |
| num_distinct = $num_distinct; |
| sparsity = $sp; |
| |
| # generate class labels |
| Y = floor (rand (rows = num_records, cols = 1, min = 1, max = num_class + 0.99999999999999)); |
| Y_bin = table (seq (1, num_records), Y); |
| write (Y_bin, YFile); |
| |
| # generate categorical features |
| X_cat = floor (rand (rows = num_records, cols = num_cat_features, min = 1, max = num_distinct + 0.99999999999999, sparsity = sparsity)); |
| fX_cat = as.frame(X_cat); |
| write (fX_cat, XCatFile, format = "csv"); |
| |
