export { Annoy } from "./Annoy.js";
export { BallTree } from "./BallTree.js";
export { HNSW } from "./HNSW.js";
export { KDTree } from "./KDTree.js";
export { LSH } from "./LSH.js";
export { NaiveKNN } from "./NaiveKNN.js";
export { NNDescent } from "./NNDescent.js";
export type ParametersAnnoy = {
  /**
   * - Metric to use: (a, b) => distance. Default is `euclidean`
   */
  metric: Metric;
  /**
   * - Number of random projection trees to build. Default is `10`
   */
  numTrees: number;
  /**
   * - Maximum points per leaf node. Default is `10`
   */
  maxPointsPerLeaf: number;
  /**
   * - Seed for random number generator. Default is `1212`
   */
  seed: number;
};
export type ParametersBallTree = {
  metric: Metric;
  seed: number;
};
export type ParametersHNSW = {
  /**
   * - Metric to use: (a, b) => distance. Default is `euclidean`
   */
  metric: Metric;
  /**
   * - Use heuristics or naive selection. Default is `true`
   */
  heuristic: boolean;
  /**
   * - Max number of connections per element (excluding ground layer). Default is `16`
   */
  m: number;
  /**
   * - Size of candidate list during construction. Default is `200`
   */
  ef_construction: number;
  /**
   * - Max number of connections for ground layer (layer 0). Default is `2 * m`
   */
  m0: number | null;
  /**
   * - Normalization factor for level generation. Default is `1 / Math.log(m)`
   */
  mL: number | null;
  /**
   * - Seed for random number generator. Default is `1212`
   */
  seed: number;
  /**
   * - Size of candidate list during search. Default is `50`
   */
  ef: number;
};
export type ParametersKDTree = {
  /**
   * - Metric to use: (a, b) => distance. Default is `euclidean`
   */
  metric: Metric;
  seed: number;
};
export type ParametersLSH = {
  /**
   * - Metric to use: (a, b) => distance. Default is `euclidean`
   */
  metric: Metric;
  /**
   * - Number of hash tables. Default is `10`
   */
  numHashTables: number;
  /**
   * - Number of hash functions per table. Default is `10`
   */
  numHashFunctions: number;
  /**
   * - Seed for random number generator. Default is `1212`
   */
  seed: number;
};
export type ParametersNaiveKNN = {
  /**
   * Is either precomputed or a function to use: (a, b) => distance
   */
  metric?: Metric | "precomputed" | undefined;
  seed?: number | undefined;
};
export type ParametersNNDescent = {
  /**
   * - Called sigma in paper. Default is `euclidean`
   */
  metric: Metric;
  /**
   * =10 - Number of neighbors `search` should return. Default is `10`
   */
  K: number;
  /**
   * = .8 - Sample rate. Default is `.8`
   */
  rho: number;
  /**
   * = 0.0001 - Precision parameter. Default is `0.0001`
   */
  delta: number;
  /**
   * = 1212 - Seed for the random number generator. Default is `1212`
   */
  seed: number;
};
import type { Metric } from "../metrics/index.js";
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