public void LinearRegressionSample()
        {
            // Learn
            var clf = new Sharpkit.Learn.LinearModel.LinearRegression();
            clf.Fit(new double[,] {{0, 0}, {1, 1}, {2, 2}}, new double[] {0, 1, 2});
            Console.WriteLine(clf.Coef.ToString());

            // Predict
            var prediction = clf.Predict(new double[] {3, 3});
            Console.WriteLine(prediction);
        }
Esempio n. 2
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        public void LinearRegressionSample()
        {
            // Learn
            var clf = new Sharpkit.Learn.LinearModel.LinearRegression();

            clf.Fit(new double[, ] {
                { 0, 0 }, { 1, 1 }, { 2, 2 }
            }, new double[] { 0, 1, 2 });
            Console.WriteLine(clf.Coef.ToString());

            // Predict
            var prediction = clf.Predict(new double[] { 3, 3 });

            Console.WriteLine(prediction);
        }