Superlatively Fast Fuzzy Joins


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Documentation for package ‘zoomerjoin’ version 0.1.4

Help Pages

zoomerjoin-package zoomerjoin: Superlatively Fast Fuzzy Joins
dime_data Donors from DIME Database
em_link Fit a Probabilistic Matching Model using Naive Bayes + E.M.
euclidean_anti_join Spatial Anti Join Using LSH
euclidean_curve Plot S-Curve for a LSH with given hyperparameters
euclidean_full_join Spatial Full Join Using LSH
euclidean_inner_join Spatial Inner Join Using LSH
euclidean_left_join Spatial Left Join Using LSH
euclidean_probability Find Probability of Match Based on Similarity
euclidean_right_join Spatial Right Join Using LSH
jaccard_anti_join Fuzzy anti-join using minihashing
jaccard_curve Plot S-Curve for a LSH with given hyperparameters
jaccard_full_join Fuzzy full-join using minihashing
jaccard_hyper_grid_search Help Choose the Appropriate LSH Hyperparameters
jaccard_inner_join Fuzzy inner-join using minihashing
jaccard_left_join Fuzzy left-join using minihashing
jaccard_probability Find Probability of Match Based on Similarity
jaccard_right_join Fuzzy right-join using minihashing
jaccard_similarity Calculate jaccard_similarity of two character vectors
jaccard_string_group Fuzzy String Grouping Using Minhashing
zoomerjoin zoomerjoin: Superlatively Fast Fuzzy Joins