Machine Learning using K-Nearest Neighbours
Post by: syed hussain in All
A Machine Learning algorithm that takes a series of questions and answers them. Written in C#, feel free to use it for any projects you have in mind.
using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Data;
using Accord.MachineLearning;
namespace QuestionAnswerSystem
{
class Program
{
static void Main(string[] args)
{
// Create a dataset with questions and answers
DataTable questionsAnswers = new DataTable("QuestionsAnswers");
questionsAnswers.Columns.Add("Questions", typeof(string));
questionsAnswers.Columns.Add("Answers", typeof(string));
// Add questions and answers to the dataset
questionsAnswers.Rows.Add("What is the capital of France?", "Paris");
questionsAnswers.Rows.Add("What is the capital of Germany?", "Berlin");
questionsAnswers.Rows.Add("What is the capital of Spain?", "Madrid");
// Create a K-Nearest Neighbors algorithm
KNearestNeighbors knn = new KNearestNeighbors(k: 1);
// Learn the questions and answers
knn.Learn(questionsAnswers);
// Ask a question
Console.Write("What is the capital of Italy? ");
string question = Console.ReadLine();
// Use the K Nearest Neighbor algorithm to answer the question
string[] answers = knn.Decide(new string[] { question });
// Output the result
Console.WriteLine("Answer: " + answers[0]);
}
}
}
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