Esempio n. 1
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 public DTestResults testTree(DataSet test)
 {
     int count = 0;
     for(uint x=0; x < test.numRows(); x++)
     { count += (testRow(test.getRow(x))) ? 1 : 0; }
     DTestResults retval = new DTestResults();
     retval.correct = (uint) count;
     retval.total = test.numRows();
     return retval;
 }
Esempio n. 2
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        static int Main(string[] args)
        {
            if(args.Length != 2)
            {
                usage();
                return 2;
            }
            //Console.WriteLine(new DataSet("sample1.txt"));
            try
            {
                classify = new DataSet(args[0]);
                test = new DataSet(args[1]);
            }
            catch(System.IO.IOException e)
            { Console.WriteLine(e.Message);	}

            //make tree
            DTree tree = new DTree(classify);
            tree.printTree();
            DTestResults results = tree.testTree(test);
            Console.WriteLine("Correct/Total: " + results.correct + " / " + results.total);
            Console.WriteLine("Error Rate: " + ((double)results.correct/(double)results.total));
            //Console.WriteLine(classify.gain(3));
            //Console.WriteLine(classify.entropyAttr(3,"Weak"));
            //Console.WriteLine(classify.entropy);
            //Console.WriteLine(classify.partitionData(0,"Rain"));
            //Console.WriteLine("Num Attribs: " + classify.numAttributes());
            /*
            bool[] marked = new bool[classify.numAttributes()];
            for(int x=0; x < marked.Length; x++)
            { marked[x] = false; }

            for(int x=0; x < marked.Length; x++)
            {
                uint a = classify.bestGain(marked);
                marked[a] = true;
                Console.WriteLine(a);
            }
            Console.WriteLine(classify.getMostOccuringClassification());

            //Console.WriteLine("A" + classify.gain(2));
            */
            return 0;
        }
Esempio n. 3
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 public DataSet partitionData(uint aidx, string v)
 {
     DataSet retval = new DataSet(attribs.getLength());
     for(uint x=0; x < size; x++)
     {
         if(rows[x].hasAttribute(aidx,v))
         { retval.addRow(rows[x].originalString()); }
     }
     return retval;
 }
Esempio n. 4
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        public DNode(DataSet classify, ref bool[] marked, string path)
        {
            //Console.WriteLine(markedString(marked));
            classification = null; //only gets set on leaf node
            attr_assigned = false; //unassigned
            this.path = path;

            //if the tree is perfectly classified (entropy == 0)
            // or if we're out of attributes, return the most occuring one
            if(classify.entropy == 0 || allMarked(ref marked))
            { classification = classify.getMostOccuringClassification();}
            else
            {
                attribute = classify.bestGain(marked);
                attr_assigned = true;
                children = new DNode[classify.getAttributes(attribute).Length];
                //Console.WriteLine("Attrib: " + attribute + " Children: " + classify.getAttributes(attribute).Length);
                for(uint x=0; x < children.Length; x++)
                {
                    marked[attribute] = true;
                    string tmp = classify.getAttributes(attribute)[x];
                    children[x] = new DNode(classify.partitionData(attribute,tmp),ref marked,tmp);
                }
            }
        }
Esempio n. 5
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 public DTree(DataSet classify)
 {
     bool[] marked = new bool[classify.numAttributes()];
     root = new DNode(classify,ref marked, "");
 }