Merge pull request #102 from Arun-George-Zachariah/master

Fixing minor typos in comments.

Author: andresmasegosa

core-dynamic/src/main/java/eu/amidst/dynamic/datastream/filereaders/DynamicDataInstanceSpliterator.java

@@ -51,7 +51,7 @@ public class DynamicDataInstanceSpliterator implements Spliterator<DynamicDataIn
     /** Represents a {@link NextDynamicDataInstance} object. */
     private NextDynamicDataInstance nextDynamicDataInstance;
 
-    /** Represents a {@link Spliterator} over {@link DataRow} elemenets. */
+    /** Represents a {@link Spliterator} over {@link DataRow} elements. */
     private final Spliterator<DataRow> spliterator;
 
     /** Represents the characteristics. */

core-dynamic/src/main/java/eu/amidst/dynamic/learning/parametric/DynamicNaiveBayesClassifier.java

@@ -34,7 +34,7 @@ public class DynamicNaiveBayesClassifier {
     /** Represents the ID of class variable */
     int classVarID;
 
-    /** Represents the Dynmaic Naive Bayes Classifier model, which is considered as a {@link DynamicBayesianNetwork} object. */
+    /** Represents the Dynamic Naive Bayes Classifier model, which is considered as a {@link DynamicBayesianNetwork} object. */
     DynamicBayesianNetwork bnModel;
 
     /** Represents the parallel mode, which is initialized as true. */

core-dynamic/src/main/java/eu/amidst/dynamic/models/DynamicDAG.java

@@ -93,7 +93,7 @@ public void updateDynamicVariables(DynamicVariables dynamicVariables1){
 
     /**
      * Returns the set of dynamic variables in this DynamicDAG.
-     * @return {@link DynamicVariables} object containing the set of dynamic variables in this DynmaicDAG.
+     * @return {@link DynamicVariables} object containing the set of dynamic variables in this DynamicDAG.
      */
     public DynamicVariables getDynamicVariables() {
         return this.dynamicVariables;

core-dynamic/src/main/java/eu/amidst/dynamic/variables/DynamicVariables.java

@@ -157,7 +157,7 @@ public Variable getInterfaceVariable(Variable var){
     }
 
     /**
-     * Returns the variable of a coressponding interface variable.
+     * Returns the variable of a corresponding interface variable.
      * @param var a {@link Variable} object.
      * @return a {@link Variable} object.
      */

core/src/main/java/eu/amidst/core/exponentialfamily/EF_BaseDistribution_MultinomialParents.java

@@ -23,14 +23,14 @@
  * 1. getConditioningVariables change to getParentsVariables()
  *
  * 2. Rewrite the naturalmparameters and momementsparametes interfaces to allow sparse implementations and translage
- * that to the implemementaiton of setNatural and setMoments
+ * that to the implementation of setNatural and setMoments
  *
  *
  *
  * **********************************************************
  */
 
-//TODO: Condiser the log-base-measure when defining the base distribution.
+//TODO: Consider the log-base-measure when defining the base distribution.
 
 package eu.amidst.core.exponentialfamily;
 

core/src/main/java/eu/amidst/core/exponentialfamily/EF_Multinomial_Dirichlet.java

@@ -39,7 +39,7 @@
  */
 public class EF_Multinomial_Dirichlet extends EF_ConditionalDistribution{
 
-    /** Represents the conditioninig Dirichlet variable of this EF_Multinomial_Dirichlet distribution. */
+    /** Represents the conditioning Dirichlet variable of this EF_Multinomial_Dirichlet distribution. */
     Variable dirichletVariable;
 
     /** Represents the number of states of the main multinomial variable. */

core/src/main/java/eu/amidst/core/exponentialfamily/EF_Normal_NormalParents.java

@@ -90,7 +90,7 @@ public EF_Normal_NormalParents(Variable var_, List<Variable> parents_) {
     public void updateNaturalFromMomentParameters() {
 
         /*
-         * First step: means and convariances
+         * First step: means and covariances
          */
         CompoundVector globalMomentParam = (CompoundVector)this.momentParameters;
         double mean_X = globalMomentParam.getXYbaseMatrix().getEntry(0);

core/src/main/java/eu/amidst/core/exponentialfamily/EF_SparseMultinomial_Dirichlet.java

@@ -34,7 +34,7 @@
  */
 public class EF_SparseMultinomial_Dirichlet extends EF_ConditionalDistribution{
 
-    /** Represents the conditioninig Dirichlet variable of this EF_Multinomial_Dirichlet distribution. */
+    /** Represents the conditioning Dirichlet variable of this EF_Multinomial_Dirichlet distribution. */
     Variable dirichletVariable;
 
     /** Represents the number of states of the main multinomial variable. */

core/src/main/java/eu/amidst/core/exponentialfamily/EF_SparseMultinomial_SparseDirichlet.java

@@ -33,7 +33,7 @@
  */
 public class EF_SparseMultinomial_SparseDirichlet extends EF_ConditionalDistribution{
 
-    /** Represents the conditioninig Dirichlet variable of this EF_Multinomial_Dirichlet distribution. */
+    /** Represents the conditioning Dirichlet variable of this EF_Multinomial_Dirichlet distribution. */
     Variable dirichletVariable;
 
     /** Represents the number of states of the main multinomial variable. */

core/src/main/java/eu/amidst/core/learning/parametric/bayesian/utils/DataPosterior.java

@@ -81,7 +81,7 @@ public String toString(){
     }
 
     /**
-     * Returns whethers a given variable is present in the object.
+     * Returns whether a given variable is present in the object.
      * @param var, a {@link Variable} object.
      * @return A boolean value.
      */