Function trustworthiness

trustworthiness<T extends number | bigint>(
    features: (T | null | undefined)[],
    embedded: (T | null | undefined)[],
    nFeatures: number,
    nComponents?: number,
    nNeighbors?: number,
    batch_size?: number,
): number
Expresses to what extent the local structure is retained in embedding. The score is defined in the range [0, 1].
Type Parameters
- T extends number | bigint
Parameters
- features: (T | null | undefined)[]
  original high dimensional dataset
- embedded: (T | null | undefined)[]
  low dimesional embedding
- nFeatures: number
  Number of features in features
- nComponents: number = 2
  Number of features in embedded
- nNeighbors: number = 5
  Number of neighbors considered
- batch_size: number = 512
  It sets the number of samples that will be included in each batch
Returns number
Trustworthiness of the low-dimensional embedding
- Defined in metrics.ts:92