SOLR-10651: fix docs ...

This commit is contained in:
Joel Bernstein 2017-08-18 11:27:41 -04:00
parent 8ff75edd13
commit ff3d0dd70b
1 changed files with 6 additions and 6 deletions

View File

@ -370,7 +370,7 @@ Returns the following response:
----
== Tuple
== Tuples
The *tuple* is the next data structure we'll explore.
@ -419,7 +419,7 @@ Returns the following response:
}
----
== List
== Lists
Next we have the *list* data structure.
@ -467,7 +467,7 @@ Returns the following response:
}
----
== Let
== Variables with the `let` function
The `let` function sets *variables* and runs a Streaming Expression that references the variables. The `let` funtion can be used to
write small statistical programs.
@ -529,7 +529,7 @@ Here is the output:
}
----
== Col
== Creating arrays with `col` function
The `col` function is used to move a column of numbers from a list of tuples into an `array`.
This is an important function because Streaming Expressions such as `sql`, `random` and `timeseries` return tuples,
@ -586,7 +586,7 @@ The response shows the arrays:
}
----
== Statistical Programming
== Statistical Programming Example
We've covered how the *data structures*, *variables* and a few *statistical functions* work.
Let's dive into an example that puts these tools to use.
@ -623,7 +623,7 @@ The use case we're reasoning about can often be approached using a K Nearest Nei
With knn we use a *distance* measure to compare vectors of data to find the k nearest neighbors to
a specific vector.
=== Distance
=== Euclidean Distance
The Streaming Expression statistical function library has a function called `distance`. The `distance` function
computes the Euclidean distance between two vectors. This looks promising for comparing vectors of room rates.