| #------------------------------------------------------------- |
| # |
| # 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. |
| # |
| #------------------------------------------------------------- |
| |
| # Increase rows and cols for better performance gains |
| |
| SimLM = function(Matrix[Double] X, Matrix[Double] y, Double lamda=0.0001) return (Matrix[Double] beta) |
| { |
| A = t(X) %*% X + diag(matrix(lamda, rows=ncol(X), cols=1)); |
| b = t(X) %*% y; |
| beta = solve(A, b); |
| |
| if (nrow(beta) == ncol(X)) |
| beta = t(beta) %*% beta; |
| } |
| |
| r = 100 |
| c = 10 |
| |
| X = rand(rows=r, cols=c, seed=42); |
| y = rand(rows=r, cols=1, seed=43); |
| R = matrix(0, 1, 2); |
| |
| beta = SimLM(X, y, 0.0001); |
| R[,1] = beta; |
| |
| y = y + 1; # to generate cache miss |
| beta = SimLM(X, y, 0.0001); |
| R[,2] = beta; |
| |
| write(R, $1, format="text"); |