Merge remote-tracking branch 'origin/excise_reindex' into temp

[cdsc_reddit.git] / similarities / lsi_similarities.py

diff --git a/similarities/lsi_similarities.py b/similarities/lsi_similarities.py
new file mode 100644 (file)
index 0000000..7ab7e8c
--- /dev/null
+++ b/similarities/lsi_similarities.py
@@ -0,0 +1,61 @@
+import pandas as pd
+import fire
+from pathlib import Path
+from similarities_helper import similarities, lsi_column_similarities
+from functools import partial
+
+def lsi_similarities(infile, term_colname, outfile, min_df=None, max_df=None, included_subreddits=None, topN=500, from_date=None, to_date=None, tfidf_colname='tf_idf',n_components=100,n_iter=5,random_state=1968,algorithm='arpack'):
+    print(n_components,flush=True)
+
+    simfunc = partial(lsi_column_similarities,n_components=n_components,n_iter=n_iter,random_state=random_state,algorithm=algorithm)
+
+    return similarities(infile=infile, simfunc=simfunc, term_colname=term_colname, outfile=outfile, min_df=min_df, max_df=max_df, included_subreddits=included_subreddits, topN=topN, from_date=from_date, to_date=to_date, tfidf_colname=tfidf_colname)
+
+# change so that these take in an input as an optional argument (for speed, but also for idf).
+def term_lsi_similarities(outfile, min_df=None, max_df=None, included_subreddits=None, topN=500, from_date=None, to_date=None, n_components=300,n_iter=5,random_state=1968,algorithm='arpack'):
+
+    return lsi_similarities('/gscratch/comdata/output/reddit_similarity/tfidf/comment_terms_100k.parquet',
+                            'term',
+                            outfile,
+                            min_df,
+                            max_df,
+                            included_subreddits,
+                            topN,
+                            from_date,
+                            to_date,
+                            n_components=n_components
+                            )
+
+def author_lsi_similarities(outfile, min_df=2, max_df=None, included_subreddits=None, topN=10000, from_date=None, to_date=None,n_components=300,n_iter=5,random_state=1968,algorithm='arpack'):
+    return lsi_similarities('/gscratch/comdata/output/reddit_similarity/tfidf/comment_authors_100k.parquet',
+                            'author',
+                            outfile,
+                            min_df,
+                            max_df,
+                            included_subreddits,
+                            topN,
+                            from_date=from_date,
+                            to_date=to_date,
+                            n_components=n_components
+                               )
+
+def author_tf_similarities(outfile, min_df=2, max_df=None, included_subreddits=None, topN=10000, from_date=None, to_date=None,n_components=300,n_iter=5,random_state=1968,algorithm='arpack'):
+    return lsi_similarities('/gscratch/comdata/output/reddit_similarity/tfidf/comment_authors_100k.parquet',
+                            'author',
+                            outfile,
+                            min_df,
+                            max_df,
+                            included_subreddits,
+                            topN,
+                            from_date=from_date,
+                            to_date=to_date,
+                            tfidf_colname='relative_tf',
+                            n_components=n_components
+                            )
+
+
+if __name__ == "__main__":
+    fire.Fire({'term':term_lsi_similarities,
+               'author':author_lsi_similarities,
+               'author-tf':author_tf_similarities})
+