public void OneHotTransformer_Transform_Leading_Trainling_Spaces()
{
var sut = new OneHotTransformer("Day", "Open");
var writer = new StringWriter();
new CsvParser(() => new StringReader(m_inputSpaces))
.EnumerateRows()
.Transform(r => sut.Transform(r))
.Write(() => writer);
var actual = writer.ToString();
Assert.AreEqual(m_expectedSpaces, actual);
}
public void OneHotTransformer_Transform()
{
var sut = new OneHotTransformer("Day", "Open");
var writer = new StringWriter();
new CsvParser(() => new StringReader(Input))
.EnumerateRows()
.Transform(r => sut.Transform(r))
.Write(() => writer);
var actual = writer.ToString();
Assert.AreEqual(Expected, actual);
}
public void TestOneHost()
{
var t1 = new string[] { "xxx", "yyy", "zzz" };
var t2 = new string[] { "zzz", "yyy", "xxx", "aaa" };
var trans = new OneHotTransformer <int>(OneHotType.OneHot, "test_{0}");
trans.Fit(t1);
var r = trans.TransformToDataMap(t2);
Assert.Equal(new[] { "test_xxx", "test_yyy", "test_zzz" }, r.ColumnNames);
Assert.Equal(new int[] { 0, 0, 1, 0 }, r["test_xxx"].UnderlyingList);
Assert.Equal(new int[] { 0, 1, 0, 0 }, r["test_yyy"].UnderlyingList);
Assert.Equal(new int[] { 1, 0, 0, 0 }, r["test_zzz"].UnderlyingList);
}
public void FeatureTransformationExtensions_RowTransform()
{
var replaceMissingTransformer = new ReplaceMissingValuesTransformer("666", "NA");
var oneHotTransformer = new OneHotTransformer("Day", "Open");
var writer = new StringWriter();
new CsvParser(() => new StringReader(m_input))
.EnumerateRows()
.Transform(r => replaceMissingTransformer.Transform(r))
.Transform(r => oneHotTransformer.Transform(r))
.Write(() => writer);
var actual = writer.ToString();
Assert.AreEqual(m_expected, actual);
}
