Comparing Automated Subject Indexing Methods in R

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Documentation for package ‘casimir’ version 0.3.3

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apply_threshold Filter predictions based on score and rank
boot_worker_fn Compute bootstrap replica of pr auc
check_id_vars Coerce id columns to character
check_id_vars_col Coerce column to character
check_repair_relevance_compare Check for inconsistent relevance values
check_repair_relevance_pred Check for inconsistent relevance values
compute_intermediate_results Compute intermediate set retrieval results per group
compute_intermediate_results_dplyr Compute intermediate set retrieval results per group
compute_intermediate_results_rr Compute intermediate ranked retrieval results per group
compute_propensity_scores Compute inverse propensity scores
compute_pr_auc Compute area under precision-recall curve
compute_pr_auc_from_curve Compute area under precision-recall curve
compute_pr_curve Compute precision-recall curve
compute_ranked_retrieval_scores Compute ranked retrieval scores
compute_set_retrieval_scores Compute multi-label metrics
compute_set_retrieval_scores_dplyr Compute multi-label metrics
create_comparison Join gold standard and predicted results
create_rank_col Create a rank column
create_rank_col_dplyr Create a rank column
dcg_score Helper function for document-wise computation of ranked retrieval scores
dnb_gold_standard DNB gold standard data for computing evaluation metrics
dnb_label_distribution DNB label distribution for computing propensity scored metrics
dnb_test_predictions DNB test predictions for computing evaluation metrics
find_ps_rprec_deno Compute the denominator for R-precision
find_ps_rprec_deno_dplyr Compute the denominator for R-precision
generate_pr_auc_replica Compute bootstrap replica of pr auc
generate_replicate_results Compute bootstrapping results
generate_replicate_results_dplyr Compute bootstrapping results
helper_f Calculate bootstrapping results for one sample
helper_f_dplyr Calculate bootstrapping results for one sample
join_propensity_scores Join propensity scores
join_propensity_scores_dplyr Join propensity scores
lrap_score Helper function for document-wise computation of ranked retrieval scores
ndcg_score Helper function for document-wise computation of ranked retrieval scores
options casimir Options
option_params Declaration of options to be used as identical function arguments
process_cost_fp Process cost for false positives
pr_curve_post_processing Postprocessing of pr curve data
rename_metrics Rename metrics
set_grouping_var Set grouping variables
set_ps_flags Set flags for propensity scores
summarise_intermediate_results Compute the mean of intermediate results
summarise_intermediate_results_dplyr Compute the mean of intermediate results