/// <summary>
/// Create a list of <see cref="SweepableEstimator"/> for featurizing text.
/// </summary>
/// <param name="outputColumnName">output column name.</param>
/// <param name="inputColumnName">input column name.</param>
internal SweepableEstimator[] TextFeaturizer(string outputColumnName, string inputColumnName)
{
var option = new FeaturizeTextOption
{
InputColumnName = inputColumnName,
OutputColumnName = outputColumnName,
};
return(new[] { SweepableEstimatorFactory.CreateFeaturizeText(option) });
}
public void CreateMultiModelPipelineFromSweepableEstimatorPipelineAndMultiClassifiers()
{
var context = new MLContext();
var pipeline = context.Transforms.Concatenate("output", "input")
.Append(SweepableEstimatorFactory.CreateFeaturizeText(new FeaturizeTextOption()))
.Append(context.Auto().MultiClassification());
var json = JsonSerializer.Serialize(pipeline, this._jsonSerializerOptions);
Approvals.Verify(json);
}