| #------------------------------------------------------------- |
| # |
| # 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 = read($1) # Training data |
| y = read($2) # response values |
| p = read($3) # random data to predict |
| w = lmDS(X = X, y = y, icpt = 1, reg = 1e-12) |
| p = lmPredict(X = X, B = w, ytest=matrix(0,1,1), icpt = 1) |
| p2 = glmPredict(X = X, B = w, dfam=1, link=1, vpow=0.0, lpow=1.0); |
| |
| if( sum(abs(p2-p) > 1e8) !=0 ) |
| stop("Mismatching lmPredict and glmPredict - no output written"); |
| |
| write(p, $4) |
