/// <summary>
/// Create a list of <see cref="SweepableEstimator"/> for featurizing catalog columns.
/// </summary>
/// <param name="outputColumnNames">output column names.</param>
/// <param name="inputColumnNames">input column names.</param>
internal SweepableEstimator[] CatalogFeaturizer(string[] outputColumnNames, string[] inputColumnNames)
{
Contracts.Check(outputColumnNames.Count() == inputColumnNames.Count() && outputColumnNames.Count() > 0, "outputColumnNames and inputColumnNames must have the same length and greater than 0");
var option = new OneHotOption
{
InputColumnNames = inputColumnNames,
OutputColumnNames = outputColumnNames,
};
return(new SweepableEstimator[] { SweepableEstimatorFactory.CreateOneHotEncoding(option), SweepableEstimatorFactory.CreateOneHotHashEncoding(option) });
}
public override IEstimator <ITransformer> BuildFromOption(MLContext context, OneHotOption param)
{
var inputOutputPairs = AutoMlUtils.CreateInputOutputColumnPairsFromStrings(param.InputColumnNames, param.OutputColumnNames);
return(context.Transforms.Categorical.OneHotEncoding(inputOutputPairs));
}