preparing 0.1.4

Author: rcabanasdepaz

CHANGELOG.md

@@ -1,3 +1,13 @@
+0.1.4
+===========
+
+- Common interface for inference algorithms.
+- Solved bugs at renaming and sort parents.
+- Bug at LP #23.
+- Documentation available.
+
+
+
 0.1.3
 ===========
 

README.md

@@ -9,41 +9,49 @@ learning and inference algorithms for credal models.
 
 An example of exact inference in a credal network is given below.
 
-```
+```java
+import ch.idsia.crema.factor.credal.vertex.VertexFactor;
+import ch.idsia.crema.inference.ve.CredalVariableElimination;
+import ch.idsia.crema.model.ObservationBuilder;
+import ch.idsia.crema.model.Strides;
+import ch.idsia.crema.model.graphical.SparseModel;
 
-double p = 0.2;
-double eps = 0.0001;
+public class Starting {
+    public static void main(String[] args) {
+        double p = 0.2;
+        double eps = 0.0001;
 
-/*  CN defined with vertex Factor  */
+        /*  CN defined with vertex Factor  */
 
-// Define the model (with vertex factors)
-SparseModel model = new SparseModel();
-int u = model.addVariable(3);
-int x = model.addVariable(2);
-model.addParent(x,u);
+        // Define the model (with vertex factors)
+        SparseModel model = new SparseModel();
+        int A = model.addVariable(3);
+        int B = model.addVariable(2);
+        model.addParent(B,A);
 
-// Define a credal set of the partent node
-VertexFactor fu = new VertexFactor(model.getDomain(u), Strides.empty());
-fu.addVertex(new double[]{0., 1-p, p});
-fu.addVertex(new double[]{1-p, 0., p});
-model.setFactor(u,fu);
+        // Define a credal set of the partent node
+        VertexFactor fu = new VertexFactor(model.getDomain(A), Strides.empty());
+        fu.addVertex(new double[]{0., 1-p, p});
+        fu.addVertex(new double[]{1-p, 0., p});
+        model.setFactor(A,fu);
 
 
-System.out.println(p+" "+(1-p));
+        // Define the credal set of the child
+        VertexFactor fx = new VertexFactor(model.getDomain(B), model.getDomain(A));
 
-// Define the credal set of the child
-VertexFactor fx = new VertexFactor(model.getDomain(x), model.getDomain(u));
+        fx.addVertex(new double[]{1., 0.,}, 0);
+        fx.addVertex(new double[]{1., 0.,}, 1);
+        fx.addVertex(new double[]{0., 1.,}, 2);
 
-fx.addVertex(new double[]{1., 0.,}, 0);
-fx.addVertex(new double[]{1., 0.,}, 1);
-fx.addVertex(new double[]{0., 1.,}, 2);
+        model.setFactor(B,fx);
 
-model.setFactor(x,fx);
+        // Run exact inference
+        CredalVariableElimination inf = new CredalVariableElimination(model);
+        inf.query(A, ObservationBuilder.observe(B,0));
+
+    }
+}
 
-// Run exact inference inference
-VariableElimination ve = new FactorVariableElimination(model.getVariables());
-ve.setFactors(model.getFactors());
-System.out.println(ve.run(x));
 
 
 ``` 
@@ -52,7 +60,7 @@ System.out.println(ve.run(x));
 
 Add the following code in the  pom.xml of your project:
 
-```
+```xml
     <repositories>
         <repository>
             <id>cremaRepo</id>
@@ -64,7 +72,7 @@ Add the following code in the  pom.xml of your project:
         <dependency>
             <groupId>ch.idsia</groupId>
             <artifactId>crema</artifactId>
-            <version>0.1.3</version>
+            <version>0.1.4</version>
             <scope>compile</scope>
         </dependency>
     </dependencies>

docs/notes/installation.rst

@@ -16,7 +16,7 @@ Crema can be easily included at any maven project. For this, add the following c
         <dependency>
             <groupId>ch.idsia</groupId>
             <artifactId>Crema</artifactId>
-            <version>0.1.3</version>
+            <version>0.1.4</version>
             <scope>compile</scope>
         </dependency>
     </dependencies>

pom.xml

@@ -3,7 +3,7 @@
 	<modelVersion>4.0.0</modelVersion>
 	<groupId>ch.idsia</groupId>
 	<artifactId>crema</artifactId>
-	<version>0.1.4-SNAPSHOT</version>
+	<version>0.1.4</version>
 
     <name>Credal Model Algorithms</name>