| #------------------------------------------------------------- |
| # |
| # 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. |
| # |
| #------------------------------------------------------------- |
| |
| s_executePipeline = function(Frame[String] pipeline, Matrix[Double] X, |
| List[Unknown] hyperParameters, Boolean verbose) |
| return (Matrix[Double] X) |
| { |
| for(i in 1: ncol(pipeline)) { |
| hp = matrixToList(X, as.matrix(hyperParameters[i])) |
| X = eval(as.scalar(pipeline[1,i]), hp) |
| } |
| } |
| |
| # This function will convert the matrix row-vector into list |
| matrixToList = function(Matrix[Double] X, Matrix[Double] p) |
| return (List[Unknown] l) |
| { |
| l = list() |
| l = append(l, X) |
| if(sum(p) != -1) { |
| for(i in 1:ncol(p)) |
| l = append(l, as.scalar(p[1,i])) |
| } |
| l = append(l, FALSE) #verbose parameter value |
| } |