Class MultinomialLogisticRegression

constructor

• new MultinomialLogisticRegression(
      classes?: number[],
  ): MultinomialLogisticRegression

  Parameters

  • Optionalclasses: number[]

    Initial class labels

  Returns MultinomialLogisticRegression

_b

_classes

_W

_output

• _output(x: any): any

  Parameters

  • x: any

  Returns any

fit

• fit(
      train_x: number[][],
      train_y: any[],
      iteration?: number,
      rate?: number,
      l1?: number,
      l2?: number,
  ): void

  Fit model.

  Parameters

  • train_x: number[][]

    Training data

  • train_y: any[]

    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[][]): any[]

  Returns predicted categories.

  Parameters

  • points: number[][]

    Sample data

  Returns any[]

  Predicted values