add code for pulling activity time series from parquet.

[cdsc_reddit.git] / clustering / Makefile

diff --git a/clustering/Makefile b/clustering/Makefile
index 115b218add8f22795ad896130cdf1c91d7d06559..20d7808024c7dea1c647725f68e83d27aa52b75e 100644 (file)
--- a/clustering/Makefile
+++ b/clustering/Makefile
@@ -1,10 +1,32 @@
 #srun_cdsc='srun -p comdata-int -A comdata --time=300:00:00 --time-min=00:15:00 --mem=100G --ntasks=1 --cpus-per-task=28'
 #srun_cdsc='srun -p comdata-int -A comdata --time=300:00:00 --time-min=00:15:00 --mem=100G --ntasks=1 --cpus-per-task=28'

-all:/gscratch/comdata/output/reddit_clustering/comment_authors_10000.feather /gscratch/comdata/output/reddit_clustering/comment_terms_10000.feather
+all:/gscratch/comdata/output/reddit_clustering/comment_authors_10000.feather /gscratch/comdata/output/reddit_clustering/comment_terms_10000.feather /gscratch/comdata/output/reddit_clustering/subreddit_author_tf_similarities_10000.feather /gscratch/comdata/output/reddit_tsne/subreddit_author_tf_similarities_10000.feather /gscratch/comdata/output/reddit_tsne/comment_authors_10000.feather
+#all:/gscratch/comdata/output/reddit_clustering/comment_authors_10000.feather /gscratch/comdata/output/reddit_clustering/comment_terms_10000.feather /gscratch/comdata/output/reddit_clustering/subreddit_author_tf_similarities_10000.feather /gscratch/comdata/output/reddit_clustering/wang_similarity_10000.feather /gscratch/comdata/output/reddit_tsne/subreddit_author_tf_similarities_10000.feather /gscratch/comdata/output/reddit_tsne/wang_similarity_10000.feather /gscratch/comdata/output/reddit_tsne/comment_authors_10000.feather

 
 /gscratch/comdata/output/reddit_clustering/comment_authors_10000.feather:clustering.py /gscratch/comdata/output/reddit_similarity/comment_authors_10000.feather
 #      $srun_cdsc python3
 
 /gscratch/comdata/output/reddit_clustering/comment_authors_10000.feather:clustering.py /gscratch/comdata/output/reddit_similarity/comment_authors_10000.feather
 #      $srun_cdsc python3

-       ./clustering.py /gscratch/comdata/output/reddit_similarity/comment_authors_10000.feather /gscratch/comdata/output/reddit_clustering/comment_authors_10000.feather ---max_iter=400 --convergence_iter=15 --preference_quantile=0.85 --damping=0.85
+       start_spark_and_run.sh 1 clustering.py /gscratch/comdata/output/reddit_similarity/comment_authors_10000.feather /gscratch/comdata/output/reddit_clustering/comment_authors_10000.feather ---max_iter=400 --convergence_iter=15 --preference_quantile=0.85 --damping=0.85

 
 /gscratch/comdata/output/reddit_clustering/comment_terms_10000.feather:clustering.py /gscratch/comdata/output/reddit_similarity/comment_terms_10000.feather
 #      $srun_cdsc python3
 
 /gscratch/comdata/output/reddit_clustering/comment_terms_10000.feather:clustering.py /gscratch/comdata/output/reddit_similarity/comment_terms_10000.feather
 #      $srun_cdsc python3

-       ./clustering.py /gscratch/comdata/output/reddit_similarity/comment_terms_10000.feather /gscratch/comdata/output/reddit_clustering/comment_terms_10000.feather ---max_iter=1000 --convergence_iter=15 --preference_quantile=0.9 --damping=0.5
+       start_spark_and_run.sh 1 clustering.py /gscratch/comdata/output/reddit_similarity/comment_terms_10000.feather /gscratch/comdata/output/reddit_clustering/comment_terms_10000.feather ---max_iter=1000 --convergence_iter=15 --preference_quantile=0.9 --damping=0.5
+
+/gscratch/comdata/output/reddit_clustering/subreddit_author_tf_similarities_10000.feather:clustering.py /gscratch/comdata/output/reddit_similarity/subreddit_author_tf_similarities_10000.parquet
+#      $srun_cdsc
+       start_spark_and_run.sh 1 clustering.py /gscratch/comdata/output/reddit_similarity/subreddit_author_tf_similarities_10000.parquet /gscratch/comdata/output/reddit_clustering/subreddit_author_tf_similarities_10000.feather ---max_iter=400 --convergence_iter=15 --preference_quantile=0.5 --damping=0.85
+
+# it's pretty difficult to get a result that isn't one huge megacluster. A sign that it's bullcrap
+# /gscratch/comdata/output/reddit_clustering/wang_similarity_10000.feather:clustering.py /gscratch/comdata/output/reddit_similarity/wang_similarity_10000.feather
+#      ./clustering.py /gscratch/comdata/output/reddit_similarity/wang_similarity_10000.feather /gscratch/comdata/output/reddit_clustering/wang_similarity_10000.feather ---max_iter=400 --convergence_iter=15 --preference_quantile=0.9 --damping=0.85
+
+/gscratch/comdata/output/reddit_tsne/subreddit_author_tf_similarities_10000.feather:fit_tsne.py /gscratch/comdata/output/reddit_similarity/subreddit_author_tf_similarities_10000.parquet
+
+       start_spark_and_run.sh 1 fit_tsne.py --similarities=/gscratch/comdata/output/reddit_similarity/subreddit_author_tf_similarities_10000.parquet --output=/gscratch/comdata/output/reddit_tsne/subreddit_author_tf_similarities_10000.feather
+
+
+# /gscratch/comdata/output/reddit_tsne/wang_similarity_10000.feather:fit_tsne.py /gscratch/comdata/output/reddit_similarity/wang_similarity_10000.feather
+
+#      python3 fit_tsne.py --similarities=/gscratch/comdata/output/reddit_similarity/wang_similarity_10000.feather --output=/gscratch/comdata/output/reddit_tsne/wang_similarity_10000.feather
+
+/gscratch/comdata/output/reddit_tsne/comment_authors_10000.feather:clustering.py /gscratch/comdata/output/reddit_similarity/comment_authors_10000.feather
+#      $srun_cdsc python3
+       start_spark_and_run.sh 1 fit_tsne.py --similarities=/gscratch/comdata/output/reddit_similarity/comment_authors_10000.feather --output=/gscratch/comdata/output/reddit_tsne/comment_authors_10000.feather