skainet-kan/sk.ainet.lang.kan/KanConfig

KanConfig

data class KanConfig(val inputDim: Int, val outputDim: Int, val gridSize: Int = 16, val degree: Int = 3, val useBias: Boolean = true, val useResidual: Boolean = false, val regularization: KanRegularization = KanRegularization(), val gridMin: Float = 0.0f, val gridMax: Float = (PI / 2).toFloat())(source)

Configuration for a Kolmogorov–Arnold Network layer.

Constructors

KanConfig

constructor(inputDim: Int, outputDim: Int, gridSize: Int = 16, degree: Int = 3, useBias: Boolean = true, useResidual: Boolean = false, regularization: KanRegularization = KanRegularization(), gridMin: Float = 0.0f, gridMax: Float = (PI / 2).toFloat())