| #------------------------------------------------------------- |
| # |
| # 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. |
| # |
| #------------------------------------------------------------- |
| |
| m_naiveBayesPredict = function(Matrix[Double] X, Matrix[Double] P, Matrix[Double] C) |
| return (Matrix[Double] YRaw, Matrix[Double] Y) |
| { |
| numRows = nrow(X) |
| model = cbind(C, P) |
| |
| ones = matrix(1, rows=numRows, cols=1); |
| X_w_ones = cbind(X, ones); |
| YRaw = X_w_ones %*% t(log(model)); |
| Y = rowIndexMax(YRaw); |
| } |