Changeset 15207 for trunk/sources/HeuristicLab.Algorithms.DataAnalysis/3.4/TSNE/TSNEAlgorithm.cs

Timestamp:

07/12/17 15:17:41 (7 years ago)

Author:

bwerth

Message:

#2700 worked on TSNE (mostly removing unused code)

File:

• trunk/sources/HeuristicLab.Algorithms.DataAnalysis/3.4/TSNE/TSNEAlgorithm.cs (modified) (3 diffs)

trunk/sources/HeuristicLab.Algorithms.DataAnalysis/3.4/TSNE/TSNEAlgorithm.cs

@@ -41 +41 @@
   /// </summary>
   [Item("tSNE", "t-distributed stochastic neighbourhood embedding projects the data in a low " +
-                "dimensional space to allow visual cluster identification.")]
+                "dimensional space to allow visual cluster identification. Implemented similar to: https://lvdmaaten.github.io/tsne/#implementations (Barnes-Hut t-SNE). Described in : https://lvdmaaten.github.io/publications/papers/JMLR_2014.pdf")]
   [Creatable(CreatableAttribute.Categories.DataAnalysis, Priority = 100)]
   [StorableClass]
@@ -198 +198 @@
 
     private TSNEAlgorithm(TSNEAlgorithm original, Cloner cloner) : base(original, cloner) {
-      if(original.dataRowNames!=null)
-      this.dataRowNames = new Dictionary<string, List<int>>(original.dataRowNames);
+      if (original.dataRowNames != null)
+        this.dataRowNames = new Dictionary<string, List<int>>(original.dataRowNames);
       if (original.dataRows != null)
         this.dataRows = original.dataRows.ToDictionary(kvp => kvp.Key, kvp => cloner.Clone(kvp.Value));
@@ -226 +226 @@
       Parameters.Add(new FixedValueParameter<BoolValue>(SetSeedRandomlyParameterName, "If the seed should be random.", new BoolValue(true)));
       Parameters.Add(new FixedValueParameter<IntValue>(SeedParameterName, "The seed used if it should not be random.", new IntValue(0)));
-      Parameters.Add(new FixedValueParameter<StringValue>(ClassesParameterName, "name of the column specifying the class lables of each data point. If the label column can not be found training/test is used as labels.", new StringValue("none")));
+      Parameters.Add(new FixedValueParameter<StringValue>(ClassesParameterName, "Name of the column specifying the class lables of each data point. If the label column can not be found training/test is used as labels.", new StringValue("none")));
       Parameters.Add(new FixedValueParameter<BoolValue>(NormalizationParameterName, "Whether the data should be zero centered and have variance of 1 for each variable, so different scalings are ignored.", new BoolValue(true)));
       Parameters.Add(new FixedValueParameter<IntValue>(UpdateIntervalParameterName, "", new IntValue(50)));