Class UMAP

constructor

• new UMAP(rd: number, n?: number, min_dist?: number): UMAP

  Parameters

  • rd: number

    Reduced dimension

  • Optionaln: number

    Number of neighborhoods

  • Optionalmin_dist: number

    Minimum distance

  Returns UMAP

_a

_alpha

_b

_epoch

_min_dist

_n

_neg_samples

_rd

_w

_x

_y

_d

• _d(a: any, b: any): number

  Parameters

  • a: any
  • b: any

  Returns number

_init

• _init(): void

  Returns void

fit

• fit(): number[][]

  Fit model and returns reduced values.

  Returns number[][]

  Predicted values

init

• init(x: number[][]): void

  Initialize model.

  Parameters

  • x: number[][]

    Training data

  Returns void

predict

• predict(): number[][]

  Returns reduced values.

  Returns number[][]

  Predicted values