| #------------------------------------------------------------- |
| # |
| # 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. |
| # |
| #------------------------------------------------------------- |
| |
| dataset = read($3, format="csv") |
| |
| X = dataset[1:nrow(dataset), 1:2] |
| y = dataset[1:nrow(dataset), 3] |
| |
| R = matrix("1.0 2.0", rows=1, cols=ncol(X)) |
| |
| M = xgboost(X = X, y = y, R = R, sml_type=2) |
| P = xgboostPredictClassification(X = X, M = M) |
| |
| write(P, $1) |
| write(y, $2) |
