final case class Config(pd: PD = PD.Uniform, epsilon: Double = 0.02, epsilon2: Double = 0.01, beta: Double = 0.001, alpha: Double = 0.001, lambda: Double = 1.0/100, utility: Double = 4.0, seed: Long = 0L, maxNodes0: Int = 1000, maxEdges0: Int = 6000, maxEdgeAge: Int = 80, maxNeighbors: Int = 10, observer: Observer = Observer.Dummy) extends Product with Serializable
Configuration of the algorithm.
- pd
probability distribution function
- epsilon
adaptation factor for 'winner' (factor of moving winner node towards pd-emitted position)
- epsilon2
adaptation factor for neighbours of 'winner' (factor of moving neighbour nodes towards pd-emitted position)
- beta
controls decay of errors and utilities (decay is
1.0 - beta)- alpha
controls decay of errors and utilities for winning nodes (when inserting a new node between them; decay is
1.0 - alpha)- lambda
probability of inserting a node (each step)
- utility
scaling factor such that a node is deleted when
utility * node-utility < max-error- seed
random number generator initial seed value
- maxNodes0
initial maximum number of nodes. note that when changing
maxNodeslater, the values are always clipped tomaxNodes0(there will never be more thanmaxNodes0nodes).
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- new Config(pd: PD = PD.Uniform, epsilon: Double = 0.02, epsilon2: Double = 0.01, beta: Double = 0.001, alpha: Double = 0.001, lambda: Double = 1.0/100, utility: Double = 4.0, seed: Long = 0L, maxNodes0: Int = 1000, maxEdges0: Int = 6000, maxEdgeAge: Int = 80, maxNeighbors: Int = 10, observer: Observer = Observer.Dummy)
- pd
probability distribution function
- epsilon
adaptation factor for 'winner' (factor of moving winner node towards pd-emitted position)
- epsilon2
adaptation factor for neighbours of 'winner' (factor of moving neighbour nodes towards pd-emitted position)
- beta
controls decay of errors and utilities (decay is
1.0 - beta)- alpha
controls decay of errors and utilities for winning nodes (when inserting a new node between them; decay is
1.0 - alpha)- lambda
probability of inserting a node (each step)
- utility
scaling factor such that a node is deleted when
utility * node-utility < max-error- seed
random number generator initial seed value
- maxNodes0
initial maximum number of nodes. note that when changing
maxNodeslater, the values are always clipped tomaxNodes0(there will never be more thanmaxNodes0nodes).
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