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# UpdatableSupervisedEstimator Implementations

## Topics

### Instance Methods

[`func decodeWithOptimizer(from: inout any EstimatorDecoder) throws -> TimeSeriesClassifier<Scalar, Label>.Transformer`](/documentation/CreateMLComponents/TimeSeriesClassifier/decodeWithOptimizer(from:))

Reads the encoded model and optimizer with a decoder.

[`func encodeWithOptimizer(TimeSeriesClassifier<Scalar, Label>.Transformer, to: inout any EstimatorEncoder) throws`](/documentation/CreateMLComponents/TimeSeriesClassifier/encodeWithOptimizer(_:to:))

Encodes the model and optimizer to an encoder.

[`func makeTransformer() -> TimeSeriesClassifier<Scalar, Label>.Model`](/documentation/CreateMLComponents/TimeSeriesClassifier/makeTransformer())

Creates a default-initialized model suitable for incremental fitting.

[`func update(inout TimeSeriesClassifier<Scalar, Label>.Model, with: some Sequence<AnnotatedFeature<MLShapedArray<Scalar>, Label>>, eventHandler: EventHandler?) async throws`](/documentation/CreateMLComponents/TimeSeriesClassifier/update(_:with:eventHandler:))

Updates a model with a new batch of examples.

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