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Changes from hyak.

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Nate E TeBlunthuis
2021-02-22 16:03:48 -08:00
parent 140d1bdd17
commit 4dc949de5f
14 changed files with 128 additions and 55 deletions
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28
clustering/Makefile
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@@ -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'
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
./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
./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

2
clustering/fit_tsne.py
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@@ -5,7 +5,7 @@ from numpy import random
import numpy as np
from sklearn.manifold import TSNE
similarities = "term_similarities_10000.feather"
similarities = "/gscratch/comdata/output/reddit_similarity/subreddit_author_tf_similarities_10000.parquet"
def fit_tsne(similarities, output, learning_rate=750, perplexity=50, n_iter=10000, early_exaggeration=20):
'''