Start readme update to have example usage

Readme.md

@@ -11,6 +11,14 @@ PBNT Usage
 -------------------
 You must first have the [NumPy](http://www.numpy.org/) package installed.
 
+###The included example network:
+The example files give a simple example of how a Bayes Network can be implemented. It uses a Bayes Network created from 4 nodes, Cloudy, Rainy, Sprinkler, and WetGrass.
+
+Here is a layout of what the network looks like
+Inline-style:
+![alt text](examples/bayesnet-example.jpg "Cloudy,Sprinker,Rain,WetGrass Example Network")
+
+
 To run the example files navigate to the examples directory and run:
 ```
 python exampleinference.py
@@ -21,6 +29,22 @@ The marginal probability of sprinkler=false: 0.7
 The marginal probability of wetgrass=false | cloudy=False, rain=True: 0.3025
 ```
 
+Creating a Model:
+-------------------
+
+**BayesNode(id,numValues,name)**
+
+  - id: Integer Identification of the node
+  - numValues: Number of associated values with the node
+  - name: name for the node in form ```name="name_of_node"```
+
+Example:
+```python
+cNode = BayesNode(0, 2, name="cloudy")
+```
+
+To Be Completed...
+
 
 Project information
 -------------------

examples/ExampleModels.py

@@ -79,7 +79,6 @@ def water():
     #cloudy distribution
     cDistribution = DiscreteDistribution(cNode)
     index = cDistribution.generate_index([],[])
-    # embed()
     cDistribution[index] = 0.5
     cNode.set_dist(cDistribution)
 
@@ -111,4 +110,3 @@ def water():
     bnet = BayesNet(nodes)
 
     return bnet
-