Function trustworthinessDataFrame

trustworthinessDataFrame<T extends Numeric, R extends Numeric, K extends string>(
    features: DataFrame<{ [P in string]: T }>,
    embedded: DataFrame<{ [key: number]: R }>,
    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 Numeric
- R extends Numeric
- K extends string
Parameters
- features: DataFrame<{ [P in string]: T }>
  original high dimensional dataset
- embedded: DataFrame<{ [key: number]: R }>
  low dimesional embedding
- 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:60