You are viewing a plain text version of this content. The canonical link for it is here.
Posted to commits@lucene.apache.org by jb...@apache.org on 2018/08/28 00:46:38 UTC
lucene-solr:master: SOLR-12701: Improve Monte Carlo example
Repository: lucene-solr
Updated Branches:
refs/heads/master d833b4c9d -> 04a50b6a2
SOLR-12701: Improve Monte Carlo example
Project: http://git-wip-us.apache.org/repos/asf/lucene-solr/repo
Commit: http://git-wip-us.apache.org/repos/asf/lucene-solr/commit/04a50b6a
Tree: http://git-wip-us.apache.org/repos/asf/lucene-solr/tree/04a50b6a
Diff: http://git-wip-us.apache.org/repos/asf/lucene-solr/diff/04a50b6a
Branch: refs/heads/master
Commit: 04a50b6a2e28011331b3bd168809259ad5c947b2
Parents: d833b4c
Author: Joel Bernstein <jb...@apache.org>
Authored: Mon Aug 27 20:31:13 2018 -0400
Committer: Joel Bernstein <jb...@apache.org>
Committed: Mon Aug 27 20:46:26 2018 -0400
----------------------------------------------------------------------
solr/solr-ref-guide/src/simulations.adoc | 15 +++++++++------
1 file changed, 9 insertions(+), 6 deletions(-)
----------------------------------------------------------------------
http://git-wip-us.apache.org/repos/asf/lucene-solr/blob/04a50b6a/solr/solr-ref-guide/src/simulations.adoc
----------------------------------------------------------------------
diff --git a/solr/solr-ref-guide/src/simulations.adoc b/solr/solr-ref-guide/src/simulations.adoc
index c4ee57d..97d9ec5 100644
--- a/solr/solr-ref-guide/src/simulations.adoc
+++ b/solr/solr-ref-guide/src/simulations.adoc
@@ -46,11 +46,11 @@ The Monte Carlo simulation below performs the following steps:
* A normal distribution with a mean of 2.2 and a standard deviation of .0195 is created to model the length of componentA.
* A normal distribution with a mean of 2.71 and a standard deviation of .0198 is created to model the length of componentB.
-* The `monteCarlo` function is used to simulate component pairs. The `monteCarlo` function
- calls the *add(sample(componentA), sample(componentB))* function 100000 times and collects the results in an array. Each
- time the function is called a random sample is drawn from the componentA
- and componentB length distributions. The `add` function adds the two samples to calculate the combined length.
- The result of each function run is collected in an array and assigned to the *simresults* variable.
+* The `monteCarlo` function samples from the componentA and componentB distributions and sets the values to variables sampleA and sampleB. It then
+ calls the *add(sampleA, sampleB)* function to find the combined lengths of the samples. The `monteCarlo` function runs a set number of times, 100000 in the example below, and collects the results in an array. Each
+ time the function is called new samples are drawn from the componentA
+ and componentB distributions. On each run, the `add` function adds the two samples to calculate the combined length.
+ The result of each run is collected in an array and assigned to the *simresults* variable.
* An `empiricalDistribution` function is then created from the *simresults* array to model the distribution of the
simulation results.
* Finally, the `cumulativeProbability` function is called on the *simmodel* to determine the cumulative probability
@@ -62,7 +62,10 @@ be 5 or less.
----
let(componentA=normalDistribution(2.2, .0195),
componentB=normalDistribution(2.71, .0198),
- simresults=monteCarlo(add(sample(componentA), sample(componentB)), 100000),
+ simresults=monteCarlo(sampleA=sample(componentA),
+ sampleB=sample(componentB),
+ add(sampleA, sampleB),
+ 100000),
simmodel=empiricalDistribution(simresults),
prob=cumulativeProbability(simmodel, 5))
----