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# UpdatableTabularEstimator Implementations

## Topics

### Instance Methods

[`func decodeWithOptimizer(from: inout any EstimatorDecoder) throws -> ColumnSelector<Estimator, UnwrappedInput>.Transformer`](/documentation/CreateMLComponents/ColumnSelector/decodeWithOptimizer(from:))

Reads the encoded transformer and optimizer with a decoder.

[`func encodeWithOptimizer(ColumnSelector<Estimator, UnwrappedInput>.Transformer, to: inout any EstimatorEncoder) throws`](/documentation/CreateMLComponents/ColumnSelector/encodeWithOptimizer(_:to:))

Encodes the transformer and optimizer to an encoder.

[`func makeTransformer() -> ColumnSelectorTransformer<Estimator.Transformer, UnwrappedInput>`](/documentation/CreateMLComponents/ColumnSelector/makeTransformer())

Creates a default-initialized transformer suitable for incremental fitting.

[`func update(inout ColumnSelector<Estimator, UnwrappedInput>.Transformer, with: DataFrame, eventHandler: EventHandler?) async throws`](/documentation/CreateMLComponents/ColumnSelector/update(_:with:eventHandler:))

Updates a transformer with a new sequence of examples.

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