Class LogisticRegression

constructor

• new LogisticRegression(): LogisticRegression

• Returns LogisticRegression

_b

_W

_output

• _output(x: any): any

• Parameters

  • x: any

  Returns any

fit

• fit(
      x: number[][],
      y: (-1 | 1)[],
      iteration?: number,
      rate?: number,
      l1?: number,
      l2?: number,
  ): void

• Fit model.

  Parameters

  • x: number[][]

    Training data
  • y: (-1 | 1)[]

    Target values
  • Optionaliteration: number

    Iteration count
  • Optionalrate: number

    Learning rate
  • Optionall1: number

    L1 regularization strength
  • Optionall2: number

    L2 regularization strength

  Returns void

predict

• predict(points: number[][]): (-1 | 1)[]

• Returns predicted values.

  Parameters

  • points: number[][]

    Sample data

  Returns (-1 | 1)[]

  Predicted values