compute_similarity: Compute similarity vector (sub-function of...

In conText: 'a la Carte' on Text (ConText) Embedding Regression

Compute similarity vector (sub-function of bootstrap_similarity)

Description

Compute similarity vector (sub-function of bootstrap_similarity)

Usage

compute_similarity(
  target_embeddings = NULL,
  pre_trained = NULL,
  candidates = NULL,
  norm = NULL
)

Arguments

target_embeddings	the target embeddings (embeddings of context)
pre_trained	a V x D matrix of numeric values - pretrained embeddings with V = size of vocabulary and D = embedding dimensions
candidates	character vector defining the candidates for nearest neighbors - e.g. output from get_local_vocab
norm	character = c("l2", "none") - set to 'l2' for cosine similarity and to 'none' for inner product (see ?sim2 in text2vec)

Value

vector of cosine similarities between alc embedding and nearest neighbor candidates

conText documentation built on Feb. 16, 2023, 7:32 p.m.