Class UMAP

constructor

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

• Parameters

  • datas: number[][]

    Training data
  • 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

predict

• predict(): number[][]

• Returns reduced values.

  Returns number[][]

  Predicted values