Initializer

init(validationData:maxDepth:minLossReduction:minChildWeight:randomSeed:)

Creates a new set of parameters.

Declaration

init(validationData: MLDataTable? = nil, maxDepth: Int = 6, minLossReduction: Double = 0, minChildWeight: Double = 0.1, randomSeed: Int = 42)

Parameters

validationData

The dataset used to monitor how well the model is generalizing.

The default value is `nil` which will use an automatically sampled validation set.

maxDepth

The maximum depth of the tree. Must be a value of at least 1.

The default value is 6.

minLossReduction

The minimum amount of reduction to the loss function that is required to make another node to split the data. Larger values help prevent overfitting.

The default value is 0.

minChildWeight

Determines the minimum weight of each leaf node of the tree. Larger values help prevent overfitting.

The default value is 0.1.

randomSeed

A seed for internal random operations. Set this value to ensure reproducible results.

The default value is 42.