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 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);
}