AnnotatedFeatureProvider

struct · iOS 16.0+ · SDK 27.1

struct AnnotatedFeatureProvider<Base, UnwrappedInput> where Base : SupervisedEstimator, Base.Transformer.Input == UnwrappedInput?

An adaptor that converts a regular estimator to a tabular estimator by selecting features and annotations from columns. Tabular estimators use multiple features columns as input. When there is a single column of features, you may use a non-tabular estimator. Do this by combining multiple columns with a `ColumnConcatenator` transformer. Once there is a single column of features, use `AnnotatedFeatureProvider` to specify which column contains the features, which column contains the annotations, and which column should hold the results. When using `AnnotatedFeatureProvider`, make sure to handle missing values before using a non-tabular estimator that takes non-optional values. This example includes an `OptionalUnwrapper` transformer. let concatenation = ColumnConcatenator<Float>( columnSelection: .include(columnNames: ["type", "region"]), concatenatedColumnName: "features" ) let regression = AnnotatedFeatureProvider( OptionalUnwrapper<MLShapedArray<Float>>().appending(LinearRegressor<Float>()), annotationsColumnName: "price", featuresColumnName: "features", resultsColumnName: "result" ) let task = concatenation.appending(regression)

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