SOLR-11947: Fix ref guide jenkins errors

solr/solr-ref-guide/src/machine-learning.adoc

@@ -124,7 +124,7 @@ This expression returns the following response:
 }
 ----
 
-=== Unitize
+=== Unit Vectors
 
 The `unitize` function scales vectors to a magnitude of 1. A vector with a
 magnitude of 1 is known as a unit vector.  Unit vectors are
@@ -171,7 +171,7 @@ This expression returns the following response:
 }
 ----
 
-== Distance
+== Distance Measures
 
 The `distance` function computes a distance measure for two
 numeric arrays or a *distance matrix* for the columns of a matrix.
@@ -267,7 +267,7 @@ Once the clustering has been completed there are a number of useful functions av
 for examining the *clusters* and *centroids*.
 
 The examples below are clustering *term vectors*.
-The chapter on link:term-vectors.adoc[Text Analysis and Term Vectors] should be
+The chapter on link:term-vectors.adoc#term-vectors[Text Analysis and Term Vectors] should be
 consulted for a full explanation of these features.
 
 === Centroid Features
@@ -603,7 +603,7 @@ This expression returns the following response:
 }
 ----
 
-== K-nearest Neighbor
+== K-nearest Neighbor (knn)
 
 The `knn` function searches the rows of a matrix for the
 K-nearest neighbors of a search vector. The `knn` function

solr/solr-ref-guide/src/math-expressions.adoc

@@ -1,5 +1,5 @@
 = Math Expressions
-:page-children: scalar-math, vector-math, variables, matrix-math, vectorization, term-vectors, statistics, probability, montecarlo, time-series, regression, numerical-analysis, curve-fitting, machine-learning
+:page-children: scalar-math, vector-math, variables, matrix-math, vectorization, term-vectors, statistics, probability-distributions, simulations, time-series, regression, numerical-analysis, curve-fitting, machine-learning
 
 // Licensed to the Apache Software Foundation (ASF) under one
 // or more contributor license agreements.  See the NOTICE file
@@ -30,30 +30,30 @@ and data structures and techniques for combining Solr's
 powerful streams with mathematical functions to make every
 record in your Solr Cloud cluster computable.
 
-== link:scalar-math.adoc[Scalar Math]
+== link:scalar-math.adoc#scalar-math[Scalar Math]
 
-== link:vector-math.adoc[Vector Math]
+== link:vector-math.adoc#vector-math[Vector Math]
 
-== link:variables.adoc[Variables]
+== link:variables.adoc#variables.adoc[Variables]
 
-== link:matrix-math.adoc[Matrix Math]
+== link:matrix-math.adoc#matrix-math[Matrix Math]
 
-== link:vectorization.adoc[Streams and Vectorization]
+== link:vectorization.adoc#vectorization[Streams and Vectorization]
 
-== link:term-vectors.adoc[Text Analysis and Term Vectors]
+== link:term-vectors.adoc#term-vectors[Text Analysis and Term Vectors]
 
-== link:statistics.adoc[Statistics]
+== link:statistics.adoc#statistics[Statistics]
 
-== link:probability.adoc[Probability]
+== link:probability-distributions.adoc#probability-distributions[Probability]
 
-== link:montecarlo.adoc[Monte Carlo Simulations]
+== link:simulations.adoc#simulations[Monte Carlo Simulations]
 
-== link:time-series.adoc[Time Series]
+== link:time-series.adoc#time-series[Time Series]
 
-== link:regression.adoc[Linear Regression]
+== link:regression.adoc#regression[Linear Regression]
 
-== link:numerical-analysis.adoc[Interpolation, Derivatives and Integrals]
+== link:numerical-analysis.adoc#numerical-analysis[Interpolation, Derivatives and Integrals]
 
-== link:curve-fitting.adoc[Curve Fitting]
+== link:curve-fitting.adoc#curve-fitting[Curve Fitting]
 
-== link:machine-learning.adoc[Machine Learning]
+== link:machine-learning.adoc#machine-learning[Machine Learning]

solr/solr-ref-guide/src/parallel-sql-interface.adoc

@@ -280,7 +280,7 @@ The `aggregationMode` parameter is available in the both the JDBC driver and HTT
 SELECT distinct fieldA as fa, fieldB as fb FROM tableA ORDER BY fa desc, fb desc
 ----
 
-=== Statistics
+=== Statistical Functions
 
 The SQL interface supports simple statistics calculated on numeric fields. The supported functions are `count(*)`, `min`, `max`, `sum`, and `avg`.
 

solr/solr-ref-guide/src/probability-distributions.adoc

@@ -20,7 +20,7 @@ This section of the user guide covers the
 *probability distribution
 framework* included in the math expressions library.
 
-== Probability Distributions
+== Probability Distribution Framework
 
 The probability distribution framework includes
 many commonly used *real* and *discrete* probability
@@ -161,7 +161,7 @@ When this expression is sent to the /stream handler it responds with:
 }
 ----
 
-=== Probability
+=== Discrete Probability
 
 The `probability` function can be used with any discrete
 distribution function to compute the probability of a

solr/solr-ref-guide/src/statistical-programming.adoc

@@ -161,7 +161,7 @@ Returns the following response:
 
 Several types of data can be manipulated with the statistical programming syntax. The following sections explore <<Arrays,arrays>>, <<Tuples,tuples>>, and <<Lists,lists>>.
 
-=== Arrays
+=== Creating Arrays
 
 The first data structure we'll explore is the array.
 

solr/solr-ref-guide/src/term-vectors.adoc

@@ -109,7 +109,7 @@ responds with:
 }
 ----
 
-== Term Vectors
+== TF-IDF Term Vectors
 
 The `termVectors` function can be used to build *TF-IDF*
 term vectors from the terms generated by the `analyze` function.