/// <summary>
/// Transform a text column into featurized float array that represents counts of ngrams and char-grams.
/// </summary>
/// <param name="catalog">The transform catalog</param>
/// <param name="inputColumn">The input column</param>
/// <param name="outputColumn">The output column</param>
/// <param name="advancedSettings">Advanced transform settings</param>
public static TextFeaturizingEstimator FeaturizeText(this TransformsCatalog.TextTransforms catalog,
string inputColumn, string outputColumn = null,
Action <TextFeaturizingEstimator.Settings> advancedSettings = null)
=> new TextFeaturizingEstimator(Contracts.CheckRef(catalog, nameof(catalog)).GetEnvironment(), inputColumn, outputColumn, advancedSettings);
/// <summary>
/// Transform several text columns into featurized float array that represents counts of ngrams and char-grams.
/// </summary>
/// <param name="catalog">The transform catalog</param>
/// <param name="inputColumns">The input columns</param>
/// <param name="outputColumn">The output column</param>
/// <param name="advancedSettings">Advanced transform settings</param>
public static TextTransform FeaturizeText(this TransformsCatalog.TextTransforms catalog,
IEnumerable <string> inputColumns, string outputColumn,
Action <TextTransform.Settings> advancedSettings = null)
=> new TextTransform(Contracts.CheckRef(catalog, nameof(catalog)).GetEnvironment(), inputColumns, outputColumn, advancedSettings);
public static CorrelatedTopicModelEstimator ColleratedTopicModel(this TransformsCatalog.TextTransforms catalog, string outputColumnName, string inputColumnName, int nbTopics = 3)
{
return(new CorrelatedTopicModelEstimator(outputColumnName, inputColumnName, nbTopics));
}
