Some improvements to run affinity clustering on larger dataset and
compute density.
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@@ -3,7 +3,7 @@ from pyspark.sql import SparkSession
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import pandas as pd
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import fire
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from pathlib import Path
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from similarities_helper import prep_tfidf_entries, read_tfidf_matrix, select_topN_subreddits
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from similarities_helper import prep_tfidf_entries, read_tfidf_matrix, select_topN_subreddits, column_similarities
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def cosine_similarities(infile, term_colname, outfile, min_df=None, included_subreddits=None, topN=500, exclude_phrases=False):
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