public void PerformBinaryNumericDataSplit()
{
// Given
var testData = TestDataBuilder.BuildSmallDataFrameNumbersOnly();
var expectedPositiveData = testData.GetSubsetByRows(new[] { 1, 2 });
var expectedNegativeData = testData.GetSubsetByRows(new[] {0});
var splitCriterion = new BinarySplittingParams("Col1", 5, null);
// When
var splitResults = BinaryNumericDataSplitter.SplitData(testData, splitCriterion);
var actualPositiveData = splitResults.First().SplittedDataFrame;
var actualNegativeData = splitResults.Last().SplittedDataFrame;
// Then
Assert.IsTrue(expectedPositiveData.ContentEquals(actualPositiveData));
Assert.IsTrue(actualNegativeData.ContentEquals(expectedNegativeData));
}
public void PerformBinaryDiscreteDataSplit()
{
// Given
var testData = TestDataBuilder.ReadWeatherDataWithCategoricalAttributes();
var expectedPositiveData = testData.GetSubsetByRows(new[] { 3, 4, 5, 9, 13 });
var expectedNegativeData = testData.GetSubsetByRows(new[] { 0, 1, 2, 6, 7, 8, 10, 11, 12 });
var splitCriteria = new BinarySplittingParams("Outlook", "Rainy", "Play");
// When
var splitResults = BinaryDiscreteDataSplitter.SplitData(testData, splitCriteria);
var actualPositiveData = splitResults.First().SplittedDataFrame;
var actualNegativeData = splitResults.Last().SplittedDataFrame;
// Then
Assert.IsTrue(expectedPositiveData.ContentEquals(actualPositiveData));
Assert.IsTrue(actualNegativeData.ContentEquals(expectedNegativeData));
}
protected bool Equals(BinarySplittingParams other)
{
return string.Equals(this.SplitOnFeature, other.SplitOnFeature) && Equals(SplitOnValue, other.SplitOnValue);
}
protected bool Equals(BinarySplittingParams other)
{
return(string.Equals(this.SplitOnFeature, other.SplitOnFeature) && Equals(SplitOnValue, other.SplitOnValue));
}
