MLLinearRegressor

Declaration

struct MLLinearRegressor

Topics

Creating a linear regressor asynchronously

• train(trainingData:targetColumn:featureColumns:parameters:sessionParameters:)
• makeTrainingSession(trainingData:targetColumn:featureColumns:parameters:sessionParameters:)
• resume(_:)
• restoreTrainingSession(sessionParameters:)

Creating a linear regressor from a checkpoint

• init(checkpoint:)

Training a linear regressor synchronously

• init(trainingData:targetColumn:featureColumns:parameters:)
• targetColumn
• featureColumns

Evaluating a linear regressor

• evaluation(on:)
• trainingMetrics
• validationMetrics

Testing a linear regressor

• predictions(from:)

Saving a linear regressor

• write(to:metadata:)
• write(toFile:metadata:)

Inspecting a linear regressor

• model
• MLLinearRegressor.ModelParameters
• modelParameters

Describing a linear regressor

• description
• debugDescription
• playgroundDescription

Default Implementations

• CustomDebugStringConvertible Implementations
• CustomPlaygroundDisplayConvertible Implementations
• CustomStringConvertible Implementations

Relationships

Conforms To

• Copyable
• CustomDebugStringConvertible
• CustomPlaygroundDisplayConvertible
• CustomStringConvertible
• Escapable
• Sendable
• SendableMetatype

See Also

Supporting regressor types

• MLDecisionTreeRegressor
• MLRandomForestRegressor
• MLBoostedTreeRegressor