More refactoring

- acceptance test data locations - extended docs locations
MoseleyS · Sep 21, 2023 · 5734e30 · 5734e30
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commit 5734e30
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diff --git a/...entation/wxcode/build_a_decision_tree.rst → ...ion/categorical/build_a_decision_tree.rst b/...entation/wxcode/build_a_decision_tree.rst → ...ion/categorical/build_a_decision_tree.rst
@@ -1,12 +1,12 @@
-**Weather symbol decision trees**
+**Decision trees**
 
-Weather symbol decision trees use diagnostic fields to diagnose a suitable
-symbol to represent the weather conditions. The tree is comprised of a series
-of interconnected decision nodes. At each node one or multiple forecast
+Decision trees use diagnostic fields to diagnose a suitable category to represent
+the weather conditions, for a weather symbol for example. The tree is comprised
+of a series of interconnected decision nodes. At each node one or multiple forecast
 diagnostics are compared to predefined threshold values. The node has an if_true
-and if_false path on to the next node, or on to a resulting weather symbol. By
+and if_false path on to the next node, or on to a resulting category. By
 traversing the nodes it should be possible, given the right weather conditions,
-to arrive at any of the weather symbols.
+to arrive at any of the categories.
 
 The first few nodes of a decision tree are represented in the schematic below.
 

diff --git a/...ed_documentation/wxcode/thunder_nodes.png → ...cumentation/categorical/thunder_nodes.png b/...ed_documentation/wxcode/thunder_nodes.png → ...cumentation/categorical/thunder_nodes.png
diff --git a/improver/categorical/decision_tree.py b/improver/categorical/decision_tree.py
@@ -98,7 +98,7 @@ class ApplyDecisionTree(BasePlugin):
     as weather symbols.
 
     .. See the documentation for information about building a decision tree.
-    .. include:: extended_documentation/wxcode/build_a_decision_tree.rst
+    .. include:: extended_documentation/categorical/build_a_decision_tree.rst
     """
 
     def __init__(