Class MADALINE

Many Adaptive Linear Neuron model

Index

Constructors

Properties

_layers _logic _rate _rule _sizes

Methods

_fit1 _fit2 _fit3 fit outputLayers predict

Constructors

constructor

new MADALINE(sizes: number[], rule?: 1 | 2 | 3, rate: number): MADALINE
Parameters
- sizes: number[]
  Numbers of layers
- Optionalrule: 1 | 2 | 3
  Rule
- rate: number
  Learning rate
Returns MADALINE
- Defined in lib/model/madaline.d.ts:10

Properties

_layers

_layers: any[][]

_logic

_logic: string

_rate

_rate: number

_rule

_rule: 1 | 2 | 3

_sizes

_sizes: number[]

Methods

_fit1

_fit1(x: any, y: any): void
Parameters
- x: any
- y: any
Returns void
- Defined in lib/model/madaline.d.ts:22

_fit2

_fit2(x: any, y: any): void
Parameters
- x: any
- y: any
Returns void
- Defined in lib/model/madaline.d.ts:23

_fit3

_fit3(x: any, y: any): void
Parameters
- x: any
- y: any
Returns void
- Defined in lib/model/madaline.d.ts:24

fit

fit(x: number[][], y: (-1 | 1)[] | (-1 | 1)[][]): void
Fit this model once.
Parameters
- x: number[][]
  Training data
- y: (-1 | 1)[] | (-1 | 1)[][]
  Target values
Returns void
- Defined in lib/model/madaline.d.ts:21

outputLayers

outputLayers(data: number[][], from?: number): number[][][]
Returns predicted datas.
Parameters
- data: number[][]
  Sample data
- Optionalfrom: number
  Index of layers to calculate from
Returns number[][][]
Predicted values for each layer
- Defined in lib/model/madaline.d.ts:31

predict

predict(data: number[][]): (-1 | 1)[][]
Returns predicted datas.
Parameters
- data: number[][]
  Sample data
Returns (-1 | 1)[][]
Predicted values
- Defined in lib/model/madaline.d.ts:37