LinearRegressor

Declaration

struct LinearRegressor<Scalar> where Scalar : MLShapedArrayScalar, Scalar : BinaryFloatingPoint

Topics

Creating a regressor

• init(configuration:)
• LinearRegressor.Configuration

Getting the configuration

• configuration

Encoding and decoding

• encodeWithOptimizer(_:to:)
• decodeWithOptimizer(from:)

Fitting

• fitted(to:eventHandler:)
• fitted(to:validateOn:eventHandler:)
• LinearRegressor.Annotation
• LinearRegressor.Transformer

Default Implementations

• UpdatableSupervisedEstimator Implementations

Relationships

Conforms To

• Copyable
• Escapable
• Sendable
• SendableMetatype
• SupervisedEstimator
• UpdatableSupervisedEstimator

See Also

Regressors

• Regressor
• LinearRegressorModel
• MultivariateLinearRegressor
• MultivariateLinearRegressorConfiguration
• MultivariateLinearRegressor.Model
• FullyConnectedNetworkRegressor
• FullyConnectedNetworkRegressorModel
• BoostedTreeRegressor
• TreeRegressorModel
• OptimizationStrategy