Additional files from .rst to .md

Author: ajdapretnar

…amming/source/widgets/data/neighbors.rst …ramming/source/widgets/data/neighbors.mddoc/visual-programming/source/widgets/data/neighbors.rst renamed to doc/visual-programming/source/widgets/data/neighbors.md doc/visual-programming/source/widgets/data/neighbors.rst renamed to doc/visual-programming/source/widgets/data/neighbors.md

@@ -3,21 +3,18 @@ Neighbors
 
 Compute nearest neighbors in data according to reference.
 
-Inputs
-    Data
-        An input data set.
-    Reference
-        A reference data instance for neighbor computation.
+**Inputs**
 
-Outputs
-    Neighbors
-        A data table of nearest neighbors according to reference.
+- Data: An input data set.
+- Reference: A reference data instance for neighbor computation.
 
+**Outputs**
+
+- Neighbors: A data table of nearest neighbors according to reference.
 
 The **Neighbors** widget computes nearest neighbors for a given reference and for a given distance measure.
 
-.. figure:: images/Neighbors-stamped.png
-   :scale: 50%
+![](images/Neighbors-stamped.png)
 
 1. Information on the input data.
 2. Distance measure for computing neighbors. Supported measures are: Euclidean, Manhattan, Mahalanobis, Cosine, Jaccard, Spearman, absolute Spearman, Pearson, absolute Pearson. If *Exclude references* is ticked, data instances that are highly similar to the reference (distance < 1e-5), will be excluded.
@@ -28,14 +25,14 @@ The **Neighbors** widget computes nearest neighbors for a given reference and fo
 Examples
 --------
 
-In the first example, we used *iris* data and passed it to **Neighbors** and to **Data Table**. In **Data Table**, we selected an instance of iris, that will serve as our reference, meaning we wish to retrieve 10 closest examples to the select data instance. We connect **Data Table** to **Neighbors** as well.
+In the first example, we used *iris* data and passed it to **Neighbors** and to [Data Table](../data/datatable.md). In **Data Table**, we selected an instance of iris, that will serve as our reference, meaning we wish to retrieve 10 closest examples to the select data instance. We connect **Data Table** to **Neighbors** as well.
 
 We can observe the results of neighbor computation in **Data Table (1)**, where we can see 10 closest images to our selected iris flower.
 
-.. figure:: images/Neighbors-Example1.png
+![](images/Neighbors-Example1.png)
 
-Another example requires the installation of Image Analytics add-on. We loaded 15 paintings from famous painters with **Import Images** widget and passed them to **Image Embedding**, where we selected *Painters* embedder. 
+Another example requires the installation of Image Analytics add-on. We loaded 15 paintings from famous painters with **Import Images** widget and passed them to **Image Embedding**, where we selected *Painters* embedder.
 
 Then the procedure is the same as above. We passed embedded images to **Image Viewer** and selected a painting from Monet to serve as our reference image. We passed the image to **Neighbors**, where we set the distance measure to *cosine*, ticked off *Exclude reference* and set the neighbors to 2. This allows us to find the actual closest neighbor to a reference painting and observe them side by side in **Image Viewer (1)**.
 
-.. figure:: images/Neighbors-Example2.png
+![](images/Neighbors-Example2.png)

doc/visual-programming/source/widgets/model/stacking.rst

@@ -3,22 +3,19 @@ Line Plot
 
 Visualization of data profiles (e.g., time series).
 
-Inputs
-    Data
-        input dataset
-    Data Subset
-        subset of instances
+**Inputs**
 
-Outputs
-    Selected Data
-        instances selected from the plot
-    Data
-        data with an additional column showing whether a point is selected
+- Data: input dataset
+- Data Subset: subset of instances
 
+**Outputs**
 
-`Line plot <https://en.wikipedia.org/wiki/Line_chart>`_ a type of plot which displays the data as a series of points, connected by straight line segments. It only works for numerical data, while categorical can be used for grouping of the data points.
+- Selected Data: instances selected from the plot
+- Data: data with an additional column showing whether a point is selected
 
-.. figure:: images/LinePlot-stamped.png
+[Line plot](https://en.wikipedia.org/wiki/Line_chart) a type of plot which displays the data as a series of points, connected by straight line segments. It only works for numerical data, while categorical can be used for grouping of the data points.
+
+![](images/LinePlot-stamped.png)
 
 1. Information on the input data.
 2. Select what you wish to display:
@@ -35,6 +32,6 @@ Example
 
 **Line Plot** is a standard visualization widget, which displays data profiles, normally of ordered numerical data. In this simple example, we will display the *iris* data in a line plot, grouped by the iris attribute. The plot shows how petal length nicely separates between class values.
 
-If we observe this in a **Scatter Plot**, we can confirm this is indeed so. Petal length is an interesting attribute for separation of classes, especially when enhanced with petal width, which is also nicely separated in the line plot.
+If we observe this in a [Scatter Plot](../visualize/scatterplot.md), we can confirm this is indeed so. Petal length is an interesting attribute for separation of classes, especially when enhanced with petal width, which is also nicely separated in the line plot.
 
-.. figure:: images/LinePlot-Example.png
+![](images/LinePlot-Example.png)