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# UpdatableSupervisedTabularEstimator

A supervised tabular estimator that can be incrementally updated.

```
protocol UpdatableSupervisedTabularEstimator<Transformer, Annotation> : SupervisedTabularEstimator
```

## Topics

### Appending

[`func appending(_:)`](/documentation/CreateMLComponents/UpdatableSupervisedTabularEstimator/appending(_:))

Composes this supervised tabular estimator with another supervised tabular estimator.

### Encoding and decoding

[`func encodeWithOptimizer(Self.Transformer, to: inout any EstimatorEncoder) throws`](/documentation/CreateMLComponents/UpdatableSupervisedTabularEstimator/encodeWithOptimizer(_:to:))

Encodes the transformer and optimizer to an encoder.

[`func decodeWithOptimizer(from: inout any EstimatorDecoder) throws -> Self.Transformer`](/documentation/CreateMLComponents/UpdatableSupervisedTabularEstimator/decodeWithOptimizer(from:))

Reads the encoded transformer and optimizer with a decoder.

### Reading and writing

[`func readWithOptimizer(from: URL) throws -> Self.Transformer`](/documentation/CreateMLComponents/UpdatableSupervisedTabularEstimator/readWithOptimizer(from:))

Reads the encoded transformer and optimizer from a file.

[`func writeWithOptimizer(Self.Transformer, to: URL, overwrite: Bool) throws`](/documentation/CreateMLComponents/UpdatableSupervisedTabularEstimator/writeWithOptimizer(_:to:overwrite:))

Writes the encoded transformer and optimizer to a file.

### Transforming

[`func makeTransformer() -> Self.Transformer`](/documentation/CreateMLComponents/UpdatableSupervisedTabularEstimator/makeTransformer())

Creates a default-initialized transformer suitable for incremental fitting.

[`func update(inout Self.Transformer, with: DataFrame) async throws`](/documentation/CreateMLComponents/UpdatableSupervisedTabularEstimator/update(_:with:))

[`func update(inout Self.Transformer, with: DataFrame, eventHandler: EventHandler?) async throws`](/documentation/CreateMLComponents/UpdatableSupervisedTabularEstimator/update(_:with:eventHandler:))

Updates a transformer with a new sequence of examples.

## Relationships

### Conforming Types

[`PreprocessingUpdatableSupervisedTabularEstimator`](/documentation/CreateMLComponents/PreprocessingUpdatableSupervisedTabularEstimator)

[`UpdatableTabularEstimatorToSupervisedAdaptor`](/documentation/CreateMLComponents/UpdatableTabularEstimatorToSupervisedAdaptor)

[`BoostedTreeRegressor`](/documentation/CreateMLComponents/BoostedTreeRegressor)

[`AnnotatedFeatureProvider`](/documentation/CreateMLComponents/AnnotatedFeatureProvider)

[`BoostedTreeClassifier`](/documentation/CreateMLComponents/BoostedTreeClassifier)

### Inherits From

[`SupervisedTabularEstimator`](/documentation/CreateMLComponents/SupervisedTabularEstimator)

---

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