find_posterior_positive_evidence_only | R Documentation |
Creates a subset of pairs to check in more detail.
find_posterior_positive_evidence_only( t_dat, min_posterior = MIN_POSTERIOR_POSITIVE_EVIDENCE_ONLY, token_join_by = TOKEN_TOKEN_TYPE_VEC, tokens_to_keep = NULL, return_all = TRUE, priori_func = calculate_priori, remove_identical_row_index = FALSE, x_rows_filter = NULL, y_rows_filter = NULL, ... )
t_dat |
t_dat object |
min_posterior |
filter posterior results above this value. Default 0.2. |
token_join_by |
vector column names that joins the tokens. Default TOKEN_TOKEN_TYPE_VEC |
tokens_to_keep |
NULL or dataframe with a list of tokens, and m_prob and u_prob for each token, in the case where it is NULL we use tokenized$tokens_all filtered by min_token_u_prob |
return_all |
if TRUE it returns the whole object if FALSE it just returns the dataframe. Default TRUE |
priori_func |
A function that will calculate the priori. Default calculate_priori |
... |
passed to keep_tokens() if tokens_to_keep is NULL |
token_links( dat_x = readr::read_csv('https://tinyurl.com/2p8etjr6'), dat_y = readr::read_csv('https://tinyurl.com/2p8ap4ad' ), args_x = list(col_nms = 'coname'), args_y = list(col_nms = 'companyName'), token_types = 'company_name', token_index = '', suffix = c('ceo', 'alb') ) |> find_posterior_positive_evidence_only(return_all = FALSE)
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