bootstrap_similarity: Boostrap similarity vector

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

Boostrap similarity vector

Description

Boostrap similarity vector

Usage

bootstrap_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(s) of cosine similarities between alc embedding and nearest neighbor candidates

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