Package index
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jaccard_inner_join()
jaccard_anti_join()
jaccard_left_join()
jaccard_right_join()
jaccard_full_join()
- Fuzzy joins for Jaccard distance using MinHash
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hamming_inner_join()
hamming_anti_join()
hamming_left_join()
hamming_right_join()
hamming_full_join()
- Fuzzy joins for Hamming distance using Locality Sensitive Hashing
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euclidean_anti_join()
euclidean_inner_join()
euclidean_left_join()
euclidean_right_join()
euclidean_full_join()
- Fuzzy joins for Euclidean distance using Locality Sensitive Hashing
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em_link()
- Fit a Probabilistic Matching Model using Naive Bayes + E.M.
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jaccard_string_group()
- Fuzzy String Grouping Using Minhashing
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jaccard_similarity()
- Calculate Jaccard Similarity of two character vectors
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hamming_distance()
- Calculate Hamming distance of two character vectors
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jaccard_curve()
- Plot S-Curve for a LSH with given hyperparameters
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jaccard_probability()
- Find Probability of Match Based on Similarity
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jaccard_hyper_grid_search()
- Help Choose the Appropriate LSH Hyperparameters
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euclidean_curve()
- Plot S-Curve for a LSH with given hyperparameters
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euclidean_probability()
- Find Probability of Match Based on Similarity
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hamming_probability()
- Find Probability of Match Based on Similarity
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dime_data
- Donors from DIME Database