@thi.ng/text-analysis/similarity.d.ts

Text tokenization, transformation & analysis transducers, utilities, stop words, porter stemming, vector encodings, similarities

/**
 * Computes cosine similarity of the given dense multi-hot vectors.
 *
 * @remarks
 * Re-export of [`distCosine()` in
 * thi.ng/vectors](https://docs.thi.ng/umbrella/vectors/functions/distCosine.html)
 *
 * @param a
 * @param b
 */
export declare const cosineSimilarityDense: import("@thi.ng/vectors").DistanceFn;
/**
 * Computes cosine similarity of given sparse multi-hot vectors.
 *
 * @param a
 * @param b
 */
export declare const cosineSimilaritySparse: (a: ArrayLike<number>, b: ArrayLike<number>) => number;
/**
 * Computes Jaccard similarity of given dense multi-hot vectors.
 *
 * @remarks
 * Re-export of [`jaccardSimilarity()` in
 * thi.ng/vectors](https://docs.thi.ng/umbrella/vectors/functions/jaccardSimilarity.html)
 *
 * @param a
 * @param b
 */
export declare const jaccardSimilarityDense: import("@thi.ng/vectors").DistanceFn;
/**
 * Computes Jaccard similarity of given sparse multi-hot vectors.
 *
 * @param a
 * @param b
 */
export declare const jaccardSimilaritySparse: (a: ArrayLike<number>, b: ArrayLike<number>) => number;
/**
 * Computes dot product of the given dense vectors.
 *
 * @remarks
 * Re-export of [`dot()` in
 * thi.ng/vectors](https://docs.thi.ng/umbrella/vectors/functions/dot.html)
 *
 * @param a
 * @param b
 */
export declare const dotProductDense: import("@thi.ng/vectors").MultiVecOpRoVV<number>;
/**
 * Computes dot product of the given sparse multi-hot vectors.
 *
 * @param a
 * @param b
 */
export declare const dotProductSparse: (a: ArrayLike<number>, b: ArrayLike<number>) => number;
/**
 * Computes the squared L2 distance of the given dense vectors.
 *
 * @remarks
 * Re-export of [`dot()` in
 * thi.ng/vectors](https://docs.thi.ng/umbrella/vectors/functions/dot.html)
 *
 * @param a
 * @param b
 */
export declare const distSqDense: import("@thi.ng/vectors").MultiVecOpRoVV<number>;
/**
 * Computes the squared L2 distance of the given sparse multi-hot vectors.
 *
 * @param a
 * @param b
 */
export declare const distSqSparse: (a: ArrayLike<number>, b: ArrayLike<number>) => number;
//# sourceMappingURL=similarity.d.ts.map