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Widget docs From HTML to Sphinx.

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docs/extend-widgets/rst/basics.rst

 We will go over the syntax of channel definitions later, but for
 now the following is important:
 
-* Widgets are defined in a Python files.
-* For Orange and Orange canvas to find them, they reside in
-subdirectories in OrangeWidgets directory of Orange installation. The
-name of the subdirectory matters, as this is the name of the widget
-category. Widgets in the same directory will be grouped in the same
-pane of widget toolbox in Orange Canvas.
-*A file describing a widget starts with a header. This, given in
-sort of XMLish style, tells about the name, short description,
-location of an icon and priority of the widget.
-*The sole role of
-priority is to specify the placement (order) of widgets in the Orange
-Canvas toolbox.
-*Somewhere in the code (where we will learn later) there are two
-lines which tell which channels the widgets uses for
-communication. These, together with the header information, completely
-specify the widget as it is seen from the outside.
+   -  Widgets are defined in a Python files.
+   - For Orange and Orange canvas to find them, they reside in subdirectories in OrangeWidgets directory of Orange installation. The name of the subdirectory matters, as this is the name of the widget category. Widgets in the same directory will be grouped in the same pane of widget toolbox in Orange Canvas.
+   - A file describing a widget starts with a header. This, given in sort of XMLish style, tells about the name, short description, location of an icon and priority of the widget.
+   - The sole role of priority is to specify the placement (order) of widgets in the Orange Canvas toolbox.
+   - Somewhere in the code (where we will learn later) there are two lines which tell which channels the widgets uses for communication. These, together with the header information, completely specify the widget as it is seen from the outside.
 
 Oh, by the way. Orange caches widget descriptions to achieve a faster
 startup, but this cache is automatically refreshed at startup if any change

docs/extend-widgets/rst/channels.rst

 
 Say we want to build a widget that takes a data set and test
 various predictive modelling techniques on it. A widget has to have an
-input data channel, and this we know how to deal with from our :doc:`previous`
+input data channel, and this we know how to deal with from our :doc:`previous <settings>`
 lesson. But, somehow differently, we
 want to connect any number of widgets which define learners to our
 testing widget. Just like in a schema below, where three different

docs/widgets/rst/associate/associationrules.rst

+.. _Association Rules:
+
+Association Rules
+=================
+
+.. image:: ../icons/AssociationRules.png
+
+Construction of Association Rules
+
+Signals
+-------
+
+Inputs:
+   - Examples (ExampleTable)
+      A table with training examples
+
+
+Outputs:
+   - Association Rules
+      Induced rules.
+
+
+
+Description
+-----------
+
+This widget runs several algorithms for induction of association rules: the original Agrawal's algorithm for sparse data sets, a modified version by Zupan and Demsar which is more suitable for the usual machine learning data, and, finally, an algorithm which induces classification rules where the right-hand side of the rule is always the class attribute. Don't confuse the latter algorithm with rule induction like `Association Rules Tree Viewer <AssociationRulesTreeViewer.htm>`_.
+
+.. image:: images/AssociationRules.png
+   :alt: Association Rules Widget
+
+The first check box, :obj:`Induce classification rules` allows you to specify the algorithm to use. If checked, the original Agrawal's algorithm is used, which is designed for (very) sparse data sets. If clear, it will use an algorithm which works better on the usual machine learning data where each example is described by a (smaller) list of attributes and there are not many missing values.
+
+Next, you can decide whether to :obj:`Induce classification rules` or ordinary association rules. The former always have the class attribute (and nothing else) on the right-hand side. You can combine this with any of the above two algorithms.
+
+As for pruning, you can specify the :obj:`Minimal support` and :obj:`Minimal confidence`, where support is percentage of the entire data set covered by the (entire) rule and the confidence is the proportion of the number of examples which fit the right side among those that fit the left side. The running time depends primarily on the support.
+
+If support is set too low, the algorithm may find too many rules and eventually run out of memory. For this reason the number of rules is by default limited to 10000. You can increase the limit at a risk of running out of memory.
+
+:obj:`Build rules` runs the algorithm and outputs the induced rules. You need to push this button after changing any settings.
+
+
+Examples
+--------
+
+This widget is typically used with the `Association Rules Tree Viewer <AssociationRulesTreeViewer.htm>`_ and/or `Association Rules Tree Viewer <AssociationRulesTreeViewer.htm>`_. One possible schema is shown below.
+
+.. image:: images/AssociationRules-Schema.png
+   :alt: Association Rules

docs/widgets/rst/associate/associationrulesexplorer.rst

+.. _Association Rules Explorer:
+
+Association Rules Tree Viewer
+=============================
+
+.. image:: ../icons/AssociationRulesExplorer.png
+
+A tree-like association rules viewer
+
+Signals
+-------
+
+Inputs:
+   - Association Rules
+      A list of rules
+
+
+Outputs:
+   - None
+
+
+Description
+-----------
+
+This widget is a tree-like association rules viewer.
+
+The widget can be used to find all the rules that include a particular condition on the left-hand side. The below snapshot is made on the Titanic data set, using the filter as shown on the page on the `Association Rules Filter <AssociationRulesViewer.htm>`_.
+
+.. image:: images/AssociationRulesTreeViewer-closed.png
+   :alt: Association Rules Tree Viewer Widget
+
+Say that we are interested in rules regarding the survival of adults. By opening the branch "age=adult", we discover four rules that contain this condition as the sole condition on the left-hand side, while the right-hand sides contain different combinations of sex, status and survival.
+
+.. image:: images/AssociationRulesTreeViewer-semi-open.png
+   :alt: Association Rules Tree Viewer Widget
+
+Besides that, there are rules with (at least) two conditions on the left-hand side, "age=adult" and "sex=male"; to explore these rules, we would need to open the corresponding branch.
+
+Each leaf of the tree corresponds to one particular ordering of the left-hand side conditions in a particular rule. Turned around, this means that each rule appears in many places in the tree. As the completely open tree below shows, the rule :code:`age=adult & sex=male -> status=crew` appears in two places (the seventh and the eleventh row).
+
+On the left-hand side of the widget, we can choose the measures we want to observe. Let L, R and B be the number of examples that fit the left, the right and both sides of the rule, respectively, and N the total number of examples in the data set. The measures are then defined as follows
+
+   - confidence = B / L
+   - confidence = B / L
+   - coverage = L / N
+   - strength = R / L
+   - lift = N * B / (L * R)
+   - leverage = N * B - L * R
+
+
+
+:obj:`Tree depth` sets the depth to which the tree is expanded. If, it is set to, for instance, three, then the leaves corresponding to rules with five conditions will, besides the right-hand side, also contain the two conditions which are not shown in the branches.
+
+With :obj:`Display whole rules` we can decide whether we want the entire rule (including the information that is already contained in the branches, that is, in the path from the root to the rule) reprinted again in the leaf.
+
+Examples
+--------
+
+This widget is typically used with the `Association Rules <AssociationRules.htm>`_ and possibly `Association Rules Filter <AssociationRulesViewer.htm>`_. A typical schema is shown below.
+
+.. image:: images/AssociationRules-Schema.png
+   :alt: Association Rules

docs/widgets/rst/associate/associationrulesfilter.rst

+.. _Association Rules Filter:
+
+Association Rules Filter
+========================
+
+.. image:: ../icons/AssociationRulesFilter.png
+
+A widget for printing out the rules and for their manual exploration and selection.
+
+Signals
+-------
+
+Inputs:
+   - Association Rules
+      A list of rules
+
+
+Outputs:
+   - Association Rules
+      Selected rules
+
+
+
+Description
+-----------
+
+This widget can be used for three purposes:
+   - graphically showing the confidence and support of the induced rules
+   - selecting a subset of rules based on their confidence and support
+   - listing the induced rules and the corresponding measures of quality
+
+The columns of the grid on the left hand side of the widget represent different supports and the rows represents confidences. The scale is given above the grid: for the case in this snapshot, support goes from 28% to 75% and the confidence ranges from 29% to 100%. Each cell is colored according to the number of rules with that particular support and confidence - the darker the cell, the more rules are inside it.
+
+You can select a part of the grid. In the snapshot we selected the rules with supports between 36% and 66% and confidences from 33% to 82%.
+
+When the widget receives certain data, it shows the area containing all the rules. You can :obj:`Zoom` in to enlarge the selected part, push :obj:`Show All` to see the region with the rules again, or :obj:`No Zoom` to see the region with support and confidence from 0 to 1. :obj:`Unselect` removes the selection.
+
+If nothing is selected, the widget outputs all rules.
+
+On the right hand side of the widget there is a list of the selected rules. The checkboxes above can be used to select the measures of rule quality that we are interested in. Let L, R and B be the number of examples that fit the left, the right and both sides of the rule, respectively, and N the total number of examples in the data set. The measures are then defined as follows
+
+   - support = B / N
+   - confidence = B / L
+   - coverage = L / N
+   - strength = R / L
+   - lift = N * B / (L * R)
+   - leverage = N * B - L * R
+
+
+
+With the buttons below you can :obj:`Save Rules` into a tab-delimited file or :obj:`Send Rules` to the widget connected to the output. The latter is only enabled if :obj:`Send rules automatically` is unchecked. When it is checked, the rules are put on the widget's output automatically at every selection change.
+
+Examples
+--------
+
+This widget is used with the `Association Rules <AssociationRules.htm>`_ and maybe with a tree-like `Association Rules Tree Viewer <AssociationRulesTreeViewer.htm>`_. The typical schema is shown below.
+
+.. image:: images/AssociationRules-Schema.png
+   :alt: Association Rules

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