Changing experimental tag type to experimental-toolkit for toolkit fu…

…nctions (github#1272)
jnidzwetzki · Jul 6, 2022 · f378faa · f378faa
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Showing 9 changed files with 11 additions and 11 deletions.
diff --git a/api/asap.md b/api/asap.md
@@ -14,7 +14,7 @@ hyperfunction_subfamily: 'downsample'
 hyperfunction_type: other
 ---
 
-# asap_smooth()  <tag type="toolkit">Toolkit</tag><tag type="experimental">Experimental</tag>
+# asap_smooth()  <tag type="toolkit">Toolkit</tag><tag type="experimental-toolkit">Experimental</tag>
 The [ASAP smoothing alogrithm][asap-algorithm] is designed to create 
 human-readable graphs that preserve the rough shape and larger trends 
 of the input data, while minimizing the local variance between points. 
@@ -75,4 +75,4 @@ The output for this query:
 
 
 [asap-algorithm]: https://arxiv.org/pdf/1703.00983.pdf
-[hyperfunctions-timevectors]: timescaledb/:currentVersion:/how-to-guides/hyperfunctions/function-pipelines/#timevectors
+[hyperfunctions-timevectors]: /timescaledb/:currentVersion:/how-to-guides/hyperfunctions/function-pipelines/#timevectors
diff --git a/api/duration_in.md b/api/duration_in.md
@@ -16,7 +16,7 @@ hyperfunction_type: accessor
 
 import Experimental from 'versionContent/_partials/_experimental.mdx';
 
-# duration_in()  <tag type="toolkit">Toolkit</tag><tag type="experimental">Experimental</tag>
+# duration_in()  <tag type="toolkit">Toolkit</tag><tag type="experimental-toolkit">Experimental</tag>
 Use this function to report the total duration for a given state in a [state aggregate][state_agg].
 
 <Experimental />

diff --git a/api/freq_agg.md b/api/freq_agg.md
@@ -16,7 +16,7 @@ hyperfunction_type: aggregate
 
 import Experimental from 'versionContent/_partials/_experimental.mdx';
 
-# freq_agg()  <tag type="toolkit">Toolkit</tag><tag type="experimental">Experimental</tag>
+# freq_agg()  <tag type="toolkit">Toolkit</tag><tag type="experimental-toolkit">Experimental</tag>
 The `freq_agg` aggregate uses the [SpaceSaving][spacesaving-algorithm] algorithm 
 to estimate the most common elements of a set. This API takes a sizing parameter and 
 a PostgreSQL column, and returns a FreqAgg object that can be passed to 

diff --git a/api/into_values-freq_agg.md b/api/into_values-freq_agg.md
@@ -16,7 +16,7 @@ hyperfunction_type: accessor
 
 import Experimental from 'versionContent/_partials/_experimental.mdx';
 
-# into_values()  <tag type="toolkit">Toolkit</tag><tag type="experimental">Experimental</tag>
+# into_values()  <tag type="toolkit">Toolkit</tag><tag type="experimental-toolkit">Experimental</tag>
 This function returns the data accumulated in a
 [frequency aggregate][freq_agg] or [top N aggregate][topn_agg].
 The aggregate operates over `AnyElement` types, so this method

diff --git a/api/into_values-state_agg.md b/api/into_values-state_agg.md
@@ -16,7 +16,7 @@ hyperfunction_type: accessor
 
 import Experimental from 'versionContent/_partials/_experimental.mdx';
 
-# into_values()  <tag type="toolkit">Toolkit</tag><tag type="experimental">Experimental</tag>
+# into_values()  <tag type="toolkit">Toolkit</tag><tag type="experimental-toolkit">Experimental</tag>
 Returns the data accumulated in a [state aggregate][state_agg].  
 ```sql
 into_values (

diff --git a/api/lttb.md b/api/lttb.md
@@ -14,7 +14,7 @@ hyperfunction_subfamily: 'downsample'
 hyperfunction_type: other
 ---
 
-# lttb()  <tag type="toolkit">Toolkit</tag><tag type="experimental">Experimental</tag>
+# lttb()  <tag type="toolkit">Toolkit</tag><tag type="experimental-toolkit">Experimental</tag>
 [Largest Triangle Three Buckets][gh-lttb] is a downsampling method that 
 tries to retain visual similarity between the downsampled data and the 
 original dataset. The TimescaleDB Toolkit implementation of this takes 
@@ -55,4 +55,4 @@ The output for this query:
 
 
 [gh-lttb]: https://github.com/sveinn-steinarsson/flot-downsample
-[hyperfunctions-timevectors]: timescaledb/:currentVersion:/how-to-guides/hyperfunctions/function-pipelines/#timevectors
+[hyperfunctions-timevectors]: /timescaledb/:currentVersion:/how-to-guides/hyperfunctions/function-pipelines/#timevectors
diff --git a/api/state_agg.md b/api/state_agg.md
@@ -16,7 +16,7 @@ hyperfunction_type: aggregate
 
 import Experimental from 'versionContent/_partials/_experimental.mdx';
 
-# state_agg()  <tag type="toolkit">Toolkit</tag><tag type="experimental">Experimental</tag>
+# state_agg()  <tag type="toolkit">Toolkit</tag><tag type="experimental-toolkit">Experimental</tag>
 The `state_agg` aggregate measures the amount of time spent in each 
 distinct value of a state field. It is designed to work with a relatively small 
 number of states and might not perform well on queries where states are 

diff --git a/api/topn.md b/api/topn.md
@@ -16,7 +16,7 @@ hyperfunction_type: accessor
 
 import Experimental from 'versionContent/_partials/_experimental.mdx';
 
-# topn()  <tag type="toolkit">Toolkit</tag><tag type="experimental">Experimental</tag>
+# topn()  <tag type="toolkit">Toolkit</tag><tag type="experimental-toolkit">Experimental</tag>
 Returns the most common values accumulated in a [frequency aggregate][freq_agg]
 or [top N aggregate][topn_agg].
 ```sql

diff --git a/timescaledb/how-to-guides/hyperfunctions/function-pipelines.md b/timescaledb/how-to-guides/hyperfunctions/function-pipelines.md
@@ -1,6 +1,6 @@
 import Experimental from 'versionContent/_partials/_experimental.mdx';
 
-# Function pipelines <tag type="toolkit">Toolkit</tag><tag type="experimental">Experimental</tag>
+# Function pipelines <tag type="toolkit">Toolkit</tag><tag type="experimental-toolkit">Experimental</tag>
 Function pipelines are an experimental feature, designed to radically improve
 how you write queries to analyze data in PostgreSQL and SQL. They work by
 applying principles from functional programming and popular tools like Python