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random_rdd_generation_example.js
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random_rdd_generation_example.js
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/*
* Copyright 2016 IBM Corp.
*
* Licensed 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.
*/
/*
Usage:
bin/eclairjs.sh examples/mllib/rdd_generation_example.js"
*/
function run(sc) {
var RandomRDDs = require('eclairjs/mllib/random/RandomRDDs');
var result = {};
var numExamples = 10000; // # number of examples to generate
var fraction = 0.1; // fraction of data to sample
// Example: RandomRDDs.normalRDD
var normalRDD = RandomRDDs.normalRDD(sc, numExamples);
result.count = normalRDD.count();
result.samples = normalRDD.take(5);
// Example: RandomRDDs.normalVectorRDD
var normalVectorRDD = RandomRDDs.normalVectorRDD(sc, numExamples, 2);
result.normalVectorCount = normalVectorRDD.count();
result.normalVectorSamples = normalVectorRDD.take(5);
return result;
}
/*
check if SparkContext is defined, if it is we are being run from Unit Test
*/
if (typeof sparkContext === 'undefined') {
var SparkConf = require('eclairjs/SparkConf');
var SparkContext = require('eclairjs/SparkContext');
var sparkConf = new SparkConf().setAppName("Random RDD Generation Example");
var sc = new SparkContext(sparkConf);
var result = run(sc);
print("Generated RDD examples sampled from the standard normal distribution = " + result.count);
print("First 5 samples:");
result.samples.forEach(print);
print("Generated RDD examples of length-2 vectors: " + result.normalVectorCount);
print("First 5 samples:");
result.normalVectorSamples.forEach(print);
sc.stop();
}