MLRandomForestRegressor

Declaration

struct MLRandomForestRegressor

Topics

Training a random forest regressor

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

Creating a random forest regressor from a checkpoint

• init(checkpoint:)

Training a random forest regressor synchronously

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

Evaluating a random forest regressor

• evaluation(on:)
• trainingMetrics
• validationMetrics

Testing a Random Forest Regressor

• predictions(from:)

Saving a Random Forest Regressor

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

Inspecting a random forest regressor

• model
• MLRandomForestRegressor.ModelParameters
• modelParameters

Describing a random forest 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

• MLLinearRegressor
• MLDecisionTreeRegressor
• MLBoostedTreeRegressor