csharp
using Accord.IO;
using Accord.Imaging;
var image = new ImageDecoder().Decode(@"path/to/image.jpg");
var grayscaleImage = new Grayscale(0, 255).Apply(image);
var scaledImage = grayscaleImage.Resize(100, 100);
csharp
using Accord.MachineLearning.Text;
string[] documents = { "This is the first document.", "This document is the second document.", "And this is the third one.", "Is this the first document?" };
var vectorizer = new TFIDF();
var matrix = vectorizer.Transform(documents);
double[][] features = matrix.ToMatrix();
foreach (var feature in features)
{
Console.WriteLine(string.Join(", ", feature));
}
csharp
using Accord.MachineLearning;
using Accord.MachineLearning.VectorMachines;
using Accord.MachineLearning.VectorMachines.Learning;
double[][] inputs =
{
new double[] { 0, 0 },
new double[] { 1, 0 },
new double[] { 0, 1 },
new double[] { 1, 1 },
};
int[] outputs = { -1, -1, -1, 1 };
var teacher = new SupportVectorMachine<Gaussian>(inputs: 2);
double error = teacher.Run(inputs, outputs);
Console.WriteLine("Training error: " + error);
int prediction = teacher.Decide(new double[] { 1, 0 });
Console.WriteLine("Prediction: " + prediction);
csharp
using Accord.MachineLearning;
using System.IO;
var model = new KMeans(3);
{
new double[] { 1, 2, 3 },
new double[] { 4, 5, 6 },
new double[] { 7, 8, 9 }
};
model.Learn(inputs);
model.Save(Path.Combine("path/to/file.xml"));
var loadedModel = KMeans.Load(Path.Combine("path/to/file.xml"));
int[] predictions = loadedModel.Decide(inputs);
Console.WriteLine(string.Join(", ", predictions));
csharp
using Accord;
using Accord.Statistics.Analysis;
using Accord.Statistics.Visualizations;
using Accord.IO;
double[] data = new CsvReader("path/to/file.csv").ToDoubleMatrix().GetColumn(0);
Histogram histogram = new Histogram(data, binCount: 10);
HistogramChart plot = new HistogramChart(histogram);
plot.Show();
csharp
using Accord;
using Accord.Statistics.Analysis;
using Accord.Statistics.Visualizations;
using Accord.IO;
double[] x = new CsvReader("path/to/x.csv").ToDoubleMatrix().GetColumn(0);
double[] y = new CsvReader("path/to/y.csv").ToDoubleMatrix().GetColumn(0);
Scatterplot scatterplot = new Scatterplot("Data", "X", "Y");
scatterplot.Compute(x, y);
ScatterplotBox plot = new ScatterplotBox(scatterplot);
plot.Show();
