Różnice między wybraną wersją a wersją aktualną.
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pl:miw:miw08_rbs_ml:nunittests [2017/07/17 10:08] |
pl:miw:miw08_rbs_ml:nunittests [2019/06/27 15:50] (aktualna) |
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| + | <code="csharp"> | ||
| + | [TestFixture]//telling NUnit that this class contains test functions | ||
| + | using System; | ||
| + | using System.Collections.Generic; | ||
| + | using System.Text; | ||
| + | using NUnit.Framework; | ||
| + | using System.IO; | ||
| + | using System.Xml.Serialization; | ||
| + | namespace Morcinek.Machine_Learning | ||
| + | { | ||
| + | [TestFixture]//telling NUnit that this class contains test functions | ||
| + | public class NUnitClass | ||
| + | { | ||
| + | private const string TESTS = "Tests.xml"; | ||
| + | |||
| + | [Test] | ||
| + | public void Thermostat_252_2016() | ||
| + | { | ||
| + | int randValue; | ||
| + | object[][] everything; | ||
| + | object[][] testing; | ||
| + | object[][] learning; | ||
| + | DecisionTree decisionTree; | ||
| + | int goodClassified = 0; | ||
| + | int learningLength = 126; | ||
| + | |||
| + | everything = Common.BinaryDeSerialize("Thermostat_2016.bin"); | ||
| + | string[] attributeNames = new string[] { "Day", "Hour", "Month" }; | ||
| + | |||
| + | Random rand = new Random(); | ||
| + | List<int> learningIndexes = new List<int>(); | ||
| + | List<int> testingIndexes = new List<int>(); | ||
| + | for (int i = 0; i < learningLength; i++) | ||
| + | { | ||
| + | randValue = rand.Next(2015); | ||
| + | if (!learningIndexes.Contains(randValue)) | ||
| + | learningIndexes.Add(randValue); | ||
| + | else | ||
| + | --i; | ||
| + | } | ||
| + | learningIndexes.Sort(); | ||
| + | |||
| + | for (int i = 0; i < 2016; i++) | ||
| + | { | ||
| + | if (!learningIndexes.Contains(i)) | ||
| + | testingIndexes.Add(i); | ||
| + | } | ||
| + | |||
| + | testing = IndexesToArray(everything, testingIndexes); | ||
| + | |||
| + | learning = IndexesToArray(everything, learningIndexes); | ||
| + | |||
| + | decisionTree = new DecisionTree(); | ||
| + | decisionTree.Initialize(learning, attributeNames); | ||
| + | |||
| + | foreach (object[] row in testing) | ||
| + | { | ||
| + | if (decisionTree.FindCategory(row) == (int)row[3]) | ||
| + | goodClassified++; | ||
| + | } | ||
| + | StringBuilder sb = new StringBuilder(); | ||
| + | sb.Append("Everything is "); | ||
| + | sb.Append(goodClassified.ToString()); | ||
| + | sb.Append("/"); | ||
| + | sb.Append(testing.Length.ToString()); | ||
| + | Console.Write(sb.ToString()); | ||
| + | UpdateCorrect(goodClassified); // Funkcja zapisuje kolejne ilości dobrze sklasyfikowanych przykładów | ||
| + | } | ||
| + | |||
| + | private object[][] IndexesToArray(object[][] everything, List<int> indexesList) | ||
| + | { | ||
| + | List<object[]> testingList = new List<object[]>(); | ||
| + | foreach (int index in indexesList) | ||
| + | { | ||
| + | testingList.Add(everything[index]); | ||
| + | } | ||
| + | return testingList.ToArray(); | ||
| + | } | ||
| + | } | ||
| + | } | ||
| + | </code> | ||
