| /** |
| * 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. |
| */ |
| import org.apache.bigtop.bigpetstore.datagenerator.framework.samplers.MonteCarloSampler |
| import org.apache.bigtop.bigpetstore.datagenerator.framework.pdfs.GaussianPDF |
| import org.apache.bigtop.bigpetstore.datagenerator.framework.samplers.UniformSampler |
| import org.apache.bigtop.bigpetstore.datagenerator.framework.SeedFactory |
| |
| averageValue = 10.0 |
| stdValue = 2.0 |
| |
| seedFactory = new SeedFactory() |
| uniformSampler = new UniformSampler(-100.0, 100.0, seedFactory) |
| pdf = new GaussianPDF(averageValue, stdValue) |
| |
| |
| mcSampler = new MonteCarloSampler(uniformSampler, pdf, seedFactory) |
| |
| sample = mcSampler.sample() |
| |
| println("Sampled the value: " + sample) |
| |
| sampleSum = 0.0 |
| for(int i = 0; i < 100000; i++) |
| { |
| sampleSum += mcSampler.sample() |
| } |
| |
| sampleAverage = sampleSum / 100000.0 |
| |
| println("Expected Average: " + averageValue) |
| println("Observed Average: " + sampleAverage) |
| |
