Class DiscriminantAdaptiveNearestNeighbor

Discriminant adaptive nearest neighbor

Index

Constructors

Properties

_c _cmean _e _iteration _k _mean _phi _x _y

Methods

Constructors

constructor

new DiscriminantAdaptiveNearestNeighbor(
k?: number,
iteration?: number,
): DiscriminantAdaptiveNearestNeighbor
Parameters
- Optionalk: number
  Number of neighborhoods
- Optionaliteration: number
  Iteration count
Returns DiscriminantAdaptiveNearestNeighbor
- Defined in lib/model/dann.d.ts:9

Properties

_c

_c: any[]

_cmean

_cmean: any[]

_e

_e: number

_iteration

_iteration: number

_k

_k: number

_mean

_mean: Matrix<number>

_phi

_phi: (d: any, h: any) => number

_x

_x: Matrix<number[]>

_y

_y: any[]

Methods

fit

fit(x: number[][], y: any[]): void
Fit model.
Parameters
- x: number[][]
  Training data
- y: any[]
  Target values
Returns void
- Defined in lib/model/dann.d.ts:19

predict

predict(data: number[][]): any[]
Returns predicted categories.
Parameters
- data: number[][]
  Sample data
Returns any[]
Predicted values
- Defined in lib/model/dann.d.ts:30