| #------------------------------------------------------------- |
| # |
| # 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. |
| # |
| #------------------------------------------------------------- |
| |
| D = read($1) |
| C = read($2) |
| |
| # reading input args |
| numClasses = $3 |
| laplace_correction = 1 |
| |
| numRows = nrow(D) |
| numFeatures = ncol(D) |
| |
| # Compute conditionals |
| |
| # Compute the feature counts for each class |
| classFeatureCounts = matrix(0, rows=numClasses, cols=numFeatures) |
| parfor (i in 1:numFeatures, opt=CONSTRAINED, mode=REMOTE_MR) { |
| Col = D[,i] |
| classFeatureCounts[,i] = aggregate(target=Col, groups=C, fn="sum") |
| } |
| |
| # Compute the total feature count for each class |
| # and add the number of features to this sum |
| # for subsequent regularization (Laplace's rule) |
| classSums = rowSums(classFeatureCounts) + numFeatures*laplace_correction |
| |
| # Compute class conditional probabilities |
| repClassSums = classSums %*% matrix(1,rows=1,cols=numFeatures); |
| class_conditionals = (classFeatureCounts + laplace_correction) / repClassSums; |
| |
| # Compute class priors |
| class_counts = aggregate(target=C, groups=C, fn="count") |
| class_prior = class_counts / numRows; |
| |
| # write out the model |
| write(class_prior, $4, format="text"); |
| write(class_conditionals, $5, format="text"); |