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Posted to commits@lucene.apache.org by dw...@apache.org on 2021/03/10 09:59:36 UTC
[lucene] 23/50: Solr Ref Docs: Fix merge issue with Stream
Evaluators due to forgotten push
This is an automated email from the ASF dual-hosted git repository.
dweiss pushed a commit to branch branch_7_1
in repository https://gitbox.apache.org/repos/asf/lucene.git
commit 0ca6af632806a2de966a7ca9b84c7aa2851adb13
Author: Joel Bernstein <jb...@apache.org>
AuthorDate: Mon Oct 23 15:14:53 2017 -0400
Solr Ref Docs: Fix merge issue with Stream Evaluators due to forgotten push
---
.../src/stream-evaluator-reference.adoc | 39 +---------------------
1 file changed, 1 insertion(+), 38 deletions(-)
diff --git a/solr/solr-ref-guide/src/stream-evaluator-reference.adoc b/solr/solr-ref-guide/src/stream-evaluator-reference.adoc
index 691ac2f..cd2d05b 100644
--- a/solr/solr-ref-guide/src/stream-evaluator-reference.adoc
+++ b/solr/solr-ref-guide/src/stream-evaluator-reference.adoc
@@ -659,14 +659,8 @@ ebeSubtract(numericArray, numericArray)
== empiricalDistribution
-<<<<<<< 3196557fc49995bb3d083f25e13e09b3477a765c
The `empiricalDistribution` function returns https://en.wikipedia.org/wiki/Empirical_distribution_function[empirical distribution function], a continuous probability distribution function based
on an actual data set. This function is part of the probability distribution framework and is designed to work with the `<<sample>>`, `<<kolmogorovSmirnov>>` and `<<cumulativeProbability>>` functions.
-=======
-The `empiricalDistribution` function returns a continuous probability distribution function based
-on an actual data set (https://en.wikipedia.org/wiki/Empirical_distribution_function). This function is part of the probability distribution framework and is
-designed to work with the `sample`, `kolmogorovSmirnov` and `cumulativeProbability` functions.
->>>>>>> Solr Ref Guide: update 7.1 statistical function docs
This function is designed to work with continuous data. To build a distribution from
a discrete data set use the `<<enumeratedDistribution>>`.
@@ -1055,11 +1049,7 @@ The supported distribution functions are: `<<empiricalDistribution>>`, `<<normal
=== kolmogorovSmirnov Returns
-<<<<<<< 3196557fc49995bb3d083f25e13e09b3477a765c
-A result tuple: A tuple containing the p-value and d-statistic for the test result.
-=======
result tuple : A tuple containing the p-value and d-statistic for the test result.
->>>>>>> Solr Ref Guide: update 7.1 statistical function docs
=== kolmogorovSmirnov Syntax
@@ -1168,13 +1158,9 @@ if(gt(fieldA,fieldB),mod(fieldA,fieldB),mod(fieldB,fieldA)) // if fieldA > field
== monteCarlo
-<<<<<<< 3196557fc49995bb3d083f25e13e09b3477a765c
-The `monteCarlo` function performs a https://en.wikipedia.org/wiki/Monte_Carlo_method[Monte Carlo simulation]
-based on its parameters. The `monteCarlo` function runs another function a specified number of times and returns the results.
-=======
The `monteCarlo` function performs a Monte Carlo simulation (https://en.wikipedia.org/wiki/Monte_Carlo_method)
based on its parameters. The monteCarlo function runs another function a specified number of times and returns the results.
->>>>>>> Solr Ref Guide: update 7.1 statistical function docs
+
The function being run typically has one or more variables that are drawn from probability
distributions on each run. The `<<sample>>` function is used in the function to draw the samples.
@@ -1340,15 +1326,9 @@ or(fieldA,fieldB,fieldC,and(fieldD,fieldE),fieldF)
== poissonDistribution
-<<<<<<< 3196557fc49995bb3d083f25e13e09b3477a765c
The `poissonDistribution` function returns a https://en.wikipedia.org/wiki/Poisson_distribution[poisson probability distribution]
based on its parameter. This function is part of the probability distribution framework and is designed to
work with the `<<sample>>`, `<<probability>>` and `<<cumulativeProbability>>` functions.
-=======
-The `poissonDistribution` function returns a poisson probability distribution (https://en.wikipedia.org/wiki/Poisson_distribution)
-based on its parameter. This function is part of the probability distribution framework and is designed to
-work with the `sample`, `probability` and `cumulativeProbability` functions.
->>>>>>> Solr Ref Guide: update 7.1 statistical function docs
=== poissonDistribution Parameters
@@ -1369,15 +1349,9 @@ The `polyFit` function performs https://en.wikipedia.org/wiki/Curve_fitting#Fitt
=== polyFit Parameters
-<<<<<<< 3196557fc49995bb3d083f25e13e09b3477a765c
* `numeric array`: (Optional) x values. If omitted a sequence will be created for the x values.
* `numeric array`: y values
* `integer`: (Optional) polynomial degree. Defaults to 3.
-=======
-* `numeric array` : (Optional) x values. If omitted a sequence will be created for the x values.
-* `numeric array` : y values
-* `integer` : (Optional) polynomial degree. Defaults to 3.
->>>>>>> Solr Ref Guide: update 7.1 statistical function docs
=== polyFit Returns
@@ -1396,15 +1370,9 @@ The `polyfitDerivative` function returns the derivative of the curve created by
=== polyfitDerivative Parameters
-<<<<<<< 3196557fc49995bb3d083f25e13e09b3477a765c
* `numeric array`: (Optional) x values. If omitted a sequence will be created for the x values.
* `numeric array`: y values
* `integer`: (Optional) polynomial degree. Defaults to 3.
-=======
-* `numeric array` : (Optional) x values. If omitted a sequence will be created for the x values.
-* `numeric array` : y values
-* `integer` : (Optional) polynomial degree. Defaults to 3.
->>>>>>> Solr Ref Guide: update 7.1 statistical function docs
=== polyfitDerivative Returns
@@ -1478,13 +1446,8 @@ The `probability` function returns the probability of a random variable within a
=== probability Parameters
-<<<<<<< 3196557fc49995bb3d083f25e13e09b3477a765c
* `discrete probability distribution`: poissonDistribution | binomialDistribution | uniformDistribution | enumeratedDistribution
* `integer`: Value of the random variable to compute the probability for.
-=======
-* `discrete probability distribution` : poissonDistribution | binomialDistribution | uniformDistribution | enumeratedDistribution
-* `integer` : Value of the random variable to compute the probability for.
->>>>>>> Solr Ref Guide: update 7.1 statistical function docs
=== probability Returns