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Pyspark BucketedRandomProjectionLSH - count() after approxsimilarityjoin gives different results when i persist output

score 63 · Answer 1 · 2023-09-04T10:21:38.650000

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Pyspark BucketedRandomProjectionLSH - count() after approxsimilarityjoin gives different results when i persist output

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TechQA.

List Question

Pyspark BucketedRandomProjectionLSH - count() after approxsimilarityjoin gives different results when i persist output

MinHash Query Parser for Solr: "sim" param not working as expected & How to normalize "hash_score" result?

How to do CBIR / Reverse image search system

Reverse TF-IDF vector (vec2text)

How to select in SQL by LSH distance?

Pyspark LSH Followed by Cosine Similarity

LSH and minhasing - Why does hashing the signature matrix make sense?

Is there any hashing function which generates same results for nearly similar input?

Give a hex color to a string so that a string similar to another string will get a similar color

How to choose Elastiknn LSH Jaccard similarity index parameters L and k ? In my case I have minhash size = 100, and jaccard Similarity = 0.8

Questions about LSH (Locality-sensitive hashing) and minihashing implementation

Best approach for building an LSH table using Apache Beam and Dataflow

How to work with BucketedRandomProjectionLSH

Spark LSH pipeline, performance issues when increasing text length

LSHModel on spark structured streaming

Number of pairs in calculating Jaccard distance using PySpark are less than they should be

How to perform the Text Similarity using BERT on 10M+ corpus? Using LSH/ ANNOY/ fiass or sklearn?

How to find near by duplicates using LSH in a dataframe?

Is there a way to have fast boolean operations on scipy.sparse matrices?

How to hash a signature matrix to buckets in Locality-sensitive hashing (LSH)

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