| #------------------------------------------------------------- |
| # |
| # 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); |
| y = read($2); |
| |
| # Limit to one classification |
| y = y == min(y) |
| |
| print("") |
| print("LMCG") |
| |
| X = scale(X=X, scale=TRUE, center=TRUE); |
| B = lmCG(X=X, y=y, verbose=TRUE); |
| p = lmPredict(X=X, B=B, ytest=y, verbose=TRUE); |
| |
| classifications = (p > 0.1) |
| |
| acc = sum(classifications == y) / nrow(y) |
| |
| if(acc < 0.80) |
| stop("ERROR: to low accuracy achieved") |
| print(acc) |
