Curt TB2 overview page, amend other Guides so they appear in SC browser as Guides

release-packaging/HelpSource/Guides/FluCoMa.schelp

@@ -1,7 +1,7 @@
 title:: The Fluid Corpus Manipulation Project
 summary:: This section gives an overview of the Fluid Corpus Manipulation Project
 categories:: Libraries>FluidDecomposition
-related:: Classes/FluidBufNMF
+related:: Classes/FluidBufNMF, Guides/FluidDecomposition
 
 description::
 The Fluid Corpus Manipulation project (FluCoMA) instigates new musical ways of exploiting ever-growing banks of sound and gestures within the digital composition process, by bringing breakthroughs of signal decomposition DSP and machine learning to the toolset of techno-fluent computer composers, creative coders and digital artists. The first set of tools  released is the LINK:: Guides/FluidDecomposition::

release-packaging/HelpSource/Guides/FluidBufMultiThreading.schelp

@@ -1,6 +1,6 @@
 TITLE:: FluidBuf* Multithreading Behaviour
 SUMMARY:: A tutorial on the multithreading behaviour of offline processes of the Fluid Decomposition toolbox for signal decomposition
-CATEGORIES:: Libraries>FluidDecomposition
+CATEGORIES:: Libraries>FluidDecomposition, Guides>FluCoMa
 RELATED:: Guides/FluCoMa, Guides/FluidDecomposition
 
 DESCRIPTION::

release-packaging/HelpSource/Guides/FluidDataTools.schelp

@@ -0,0 +1,64 @@
+title:: The Fluid Corpus Manipulation Data Tools
+summary:: Tools for organising, exploring and querying corpora
+categories:: Libraries>FluidDecomposition,Guides>FluCoMa
+related:: Guides/FluCoMa, Guides/FluidDecomposition, Classes/FluidDataSet,Classes/FluidLabelSet
+
+The suite of Fluid Corpus Manipulation data tools offer facilities for building, exploring, transforming and playing with corpora. The tools are built around two container classes, link::Classes/FluidDataSet:: and link::Classes/FluidLabelSet::, which provides a way to build up and stored collections of labelled data, and a suite of objects that act on these containers.
+
+The design and interface of many of these objects is heavily based on the Python library link::https://scikit-learn.org/stable/##scikit-learn::, a mature and well developed machine learning toolkit that is comparatively quick to get going with. As our documentation continues to develop, we will also lean quite heavily on sci-learn's!
+
+section:: Containers
+
+Map id labels to data points, or to other labels
+
+link::Classes/FluidDataSet::
+link::Classes/FluidLabelSet::
+
+
+section:: DataSet Filtering
+
+Select and filter items from FluidDataSet by building queries
+
+link::Classes/FluidDataSetQuery::
+
+section:: Data Structure
+
+Perform nearest neighbour searches
+
+link::Classes/FluidKDTree::
+
+section:: Data Conditioning
+
+Pre-process data
+
+link::Classes/FluidNormalize::
+
+link::Classes/FluidStandardize::
+
+section:: Dimension Reduction
+
+Compress data to fewer dimensions for visualisation / efficiency / preprocessing
+
+link::Classes/FluidPCA::
+
+link::Classes/FluidMDS::
+
+section:: Supervised Learning
+
+Train supervised learning models using either K nearest neighbours or a simple neural network
+
+subsection:: Classification
+
+Map input data points to categories
+
+link::Classes/FluidKNNClassifier::
+
+link::Classes/FluidMLPClassifier::
+
+subsection:: Regression
+
+Map input data points to continuous output
+
+link::Classes/FluidKNNRegressor::
+
+link::Classes/FluidMLPRegressor::

release-packaging/HelpSource/Guides/FluidDecomposition.schelp

@@ -1,6 +1,6 @@
 TITLE:: Fluid Decomposition Toolbox
 SUMMARY:: An overview of the FluCoMa toolbox for signal decomposition
-CATEGORIES:: Libraries>FluidDecomposition
+CATEGORIES:: Libraries>FluidDecomposition, Guides>FluCoMa
 
 DESCRIPTION::
 The Fluid Decomposition toolbox provides an open-ended, loosely coupled set of objects to break up and analyse sound in terms of slices (segments in time), layers (superpositions in time and frequency) and objects (configurable or discoverable patterns in sound). Almost all objects have audio-rate and buffer-based versions. footnote::