Exemple #1
0
        private void calculateProbDens()
        {
            if (dvData.Count == 0)
            {
                return;
            }
            if (binsCount == 0)
            {
                return;
            }

            double dataMaxValue     = dvData.Values.Max();
            double dataMinValue     = dvData.Values.Min();
            double binCentersStep   = (dataMaxValue - dataMinValue) / (double)binsCount;
            double currentBinCenter = dataMinValue + binCentersStep / 2.0d;

            dvbinsCenters = DenseVector.Create(binsCount, i =>
            {
                return((double)i * binCentersStep + binCentersStep * 0.5d + dataMinValue);
            });

            dvProbDens = DenseVector.Create(binsCount, i =>
            {
                double binMin = dvbinsCenters[i] - binCentersStep * 0.5d;
                double binMax = dvbinsCenters[i] + binCentersStep * 0.5d;
                List <double> listCurrData = new List <double>();
                if (i == binsCount - 1)
                {
                    listCurrData = DataAnalysis.DataAnalysisStatic.DataListedWithCondition(dvData, (dVal => ((dVal >= binMin) && (dVal <= binMax))));
                }
                else
                {
                    listCurrData = DataAnalysis.DataAnalysisStatic.DataListedWithCondition(dvData, (dVal => ((dVal >= binMin) && (dVal < binMax))));
                }

                if (listCurrData == null)
                {
                    return(0.0d);
                }
                return((double)listCurrData.Count);
            });
            double sum = dvProbDens.Values.Sum();

            dvProbDens = (DenseVector)dvProbDens.Divide(sum);
        }
        /// <summary>
        /// Tests the network over a given test dataset. Returns the error ( sum(|a - y(x)|^2)/n ). The out param will count the data that was correctly categorized using a given function.
        /// </summary>
        private static double TestNetwork(DeepNeuralNetwork nn, int testingDataSetSize, GetNextDataDelegate getNextData, out int correctCount, CheckIfCorrectDelegate checkCorrect)
        {
            correctCount = 0;
            Vector <double> error = new DenseVector(nn.OutputLayer.GetNeuronCount());

            for (int i = 0; i < testingDataSetSize; ++i)
            {
                LabeledData     labeledData = getNextData(i);
                Vector <double> result      = nn.ProcessInput(labeledData.InputValues);
                if (checkCorrect(result.AsArray(), labeledData.OutputValues.AsArray()))
                {
                    ++correctCount;
                }
                Vector <double> diff = labeledData.OutputValues - result;
                error += diff.PointwiseMultiply(diff);
            }
            error = error.Divide(testingDataSetSize);
            return(error.Average());
        }
Exemple #3
0
        /// <summary>
        /// Run example.
        /// </summary>
        /// <seealso cref="http://en.wikipedia.org/wiki/Euclidean_vector#Scalar_multiplication">Multiply vector by scalar</seealso>
        /// <seealso cref="http://en.wikipedia.org/wiki/Euclidean_vector#Dot_product">Multiply vector by vector (compute the dot product between two vectors)</seealso>
        /// <seealso cref="http://en.wikipedia.org/wiki/Euclidean_vector#Addition_and_subtraction">Vector addition and subtraction</seealso>
        /// <seealso cref="http://en.wikipedia.org/wiki/Outer_product">Outer Product of two vectors</seealso>
        public void Run()
        {
            // Initialize IFormatProvider to print matrix/vector data
            var formatProvider = (CultureInfo)CultureInfo.InvariantCulture.Clone();

            formatProvider.TextInfo.ListSeparator = " ";

            // Create vector "X"
            var vectorX = new DenseVector(new[] { 1.0, 2.0, 3.0, 4.0, 5.0 });

            Console.WriteLine(@"Vector X");
            Console.WriteLine(vectorX.ToString("#0.00\t", formatProvider));
            Console.WriteLine();

            // Create vector "Y"
            var vectorY = new DenseVector(new[] { 5.0, 4.0, 3.0, 2.0, 1.0 });

            Console.WriteLine(@"Vector Y");
            Console.WriteLine(vectorY.ToString("#0.00\t", formatProvider));
            Console.WriteLine();

            // Multiply vector by scalar
            // 1. Using Multiply method and getting result into different vector instance
            var resultV = vectorX.Multiply(3.0);

            Console.WriteLine(@"Multiply vector by scalar using method Multiply. (result = X.Multiply(3.0))");
            Console.WriteLine(resultV.ToString("#0.00\t", formatProvider));
            Console.WriteLine();

            // 2. Using operator "*"
            resultV = 3.0 * vectorX;
            Console.WriteLine(@"Multiply vector by scalar using operator *. (result = 3.0 * X)");
            Console.WriteLine(resultV.ToString("#0.00\t", formatProvider));
            Console.WriteLine();

            // 3. Using Multiply method and updating vector itself
            vectorX.Multiply(3.0, vectorX);
            Console.WriteLine(@"Multiply vector by scalar using method Multiply. (X.Multiply(3.0, X))");
            Console.WriteLine(vectorX.ToString("#0.00\t", formatProvider));
            Console.WriteLine();

            // Multiply vector by vector (compute the dot product between two vectors)
            // 1. Using operator "*"
            var dotProduct = vectorX * vectorY;

            Console.WriteLine(@"Dot product between two vectors using operator *. (result = X * Y)");
            Console.WriteLine(dotProduct);
            Console.WriteLine();

            // 2. Using DotProduct method and getting result into different vector instance
            dotProduct = vectorX.DotProduct(vectorY);
            Console.WriteLine(@"Dot product between two vectors using method DotProduct. (result = X.DotProduct(Y))");
            Console.WriteLine(dotProduct.ToString("#0.00\t", formatProvider));
            Console.WriteLine();

            // Pointwise multiplie vector with another vector
            // 1. Using PointwiseMultiply method and getting result into different vector instance
            resultV = vectorX.PointwiseMultiply(vectorY);
            Console.WriteLine(@"Pointwise multiplie vector with another vector using method PointwiseMultiply. (result = X.PointwiseMultiply(Y))");
            Console.WriteLine(resultV.ToString("#0.00\t", formatProvider));
            Console.WriteLine();

            // 2. Using PointwiseMultiply method and updating vector itself
            vectorX.PointwiseMultiply(vectorY, vectorX);
            Console.WriteLine(@"Pointwise multiplie vector with another vector using method PointwiseMultiply. (X.PointwiseMultiply(Y, X))");
            Console.WriteLine(vectorX.ToString("#0.00\t", formatProvider));
            Console.WriteLine();

            // Pointwise divide vector with another vector
            // 1. Using PointwiseDivide method and getting result into different vector instance
            resultV = vectorX.PointwiseDivide(vectorY);
            Console.WriteLine(@"Pointwise divide vector with another vector using method PointwiseDivide. (result = X.PointwiseDivide(Y))");
            Console.WriteLine(resultV.ToString("#0.00\t", formatProvider));
            Console.WriteLine();

            // 2. Using PointwiseDivide method and updating vector itself
            vectorX.PointwiseDivide(vectorY, vectorX);
            Console.WriteLine(@"Pointwise divide vector with another vector using method PointwiseDivide. (X.PointwiseDivide(Y, X))");
            Console.WriteLine(vectorX.ToString("#0.00\t", formatProvider));
            Console.WriteLine();

            // Addition
            // 1. Using operator "+"
            resultV = vectorX + vectorY;
            Console.WriteLine(@"Add vectors using operator +. (result = X + Y)");
            Console.WriteLine(resultV.ToString("#0.00\t", formatProvider));
            Console.WriteLine();

            // 2. Using Add method and getting result into different vector instance
            resultV = vectorX.Add(vectorY);
            Console.WriteLine(@"Add vectors using method Add. (result = X.Add(Y))");
            Console.WriteLine(resultV.ToString("#0.00\t", formatProvider));
            Console.WriteLine();

            // 3. Using Add method and updating vector itself
            vectorX.Add(vectorY, vectorX);
            Console.WriteLine(@"Add vectors using method Add. (X.Add(Y, X))");
            Console.WriteLine(vectorX.ToString("#0.00\t", formatProvider));
            Console.WriteLine();

            // Subtraction
            // 1. Using operator "-"
            resultV = vectorX - vectorY;
            Console.WriteLine(@"Subtract vectors using operator -. (result = X - Y)");
            Console.WriteLine(resultV.ToString("#0.00\t", formatProvider));
            Console.WriteLine();

            // 2. Using Subtract method and getting result into different vector instance
            resultV = vectorX.Subtract(vectorY);
            Console.WriteLine(@"Subtract vectors using method Subtract. (result = X.Subtract(Y))");
            Console.WriteLine(resultV.ToString("#0.00\t", formatProvider));
            Console.WriteLine();

            // 3. Using Subtract method and updating vector itself
            vectorX.Subtract(vectorY, vectorX);
            Console.WriteLine(@"Subtract vectors using method Subtract. (X.Subtract(Y, X))");
            Console.WriteLine(vectorX.ToString("#0.00\t", formatProvider));
            Console.WriteLine();

            // Divide by scalar
            // 1. Using Divide method and getting result into different vector instance
            resultV = vectorX.Divide(3.0);
            Console.WriteLine(@"Divide vector by scalar using method Divide. (result = A.Divide(3.0))");
            Console.WriteLine(resultV.ToString("#0.00\t", formatProvider));
            Console.WriteLine();

            // 2. Using Divide method and updating vector itself
            vectorX.Divide(3.0, vectorX);
            Console.WriteLine(@"Divide vector by scalar using method Divide. (X.Divide(3.0, X))");
            Console.WriteLine(vectorX.ToString("#0.00\t", formatProvider));
            Console.WriteLine();

            // Outer Product of two vectors
            // 1. Using instanse method OuterProduct
            var resultM = vectorX.OuterProduct(vectorY);

            Console.WriteLine(@"Outer Product of two vectors using method OuterProduct. (X.OuterProduct(Y))");
            Console.WriteLine(resultM.ToString("#0.00\t", formatProvider));
            Console.WriteLine();

            // 2. Using static method of the Vector class
            resultM = Vector.OuterProduct(vectorX, vectorY);
            Console.WriteLine(@"Outer Product of two vectors using method OuterProduct. (Vector.OuterProduct(X,Y))");
            Console.WriteLine(resultM.ToString("#0.00\t", formatProvider));
            Console.WriteLine();
        }