-#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_singularity=srun -p compute-bigmem -A comdata --time=48:00:00 --mem=362G -c 40
-similarity_data=/gscratch/comdata/output/reddit_similarity
-clustering_data=/gscratch/comdata/output/reddit_clustering
+srun_singularity=srun -p compute-bigmem -A comdata --time=48:00:00 --mem=362G -c 40 /bin/bash -c
+similarity_data=../../data/reddit_similarity
+clustering_data=../../data/reddit_clustering
kmeans_selection_grid=--max_iters=[3000] --n_inits=[10] --n_clusters=[100,500,1000,1250,1500,1750,2000]
-
-umap_hdbscan_selection_grid=--min_cluster_sizes=[2] --min_samples=[2,3,4,5] --cluster_selection_epsilons=[0,0.01,0.05,0.1,0.15,0.2] --cluster_selection_methods=[eom,leaf] --n_neighbors=[5,15,25,50,75,100] --learning_rate=[1] --min_dist=[0,0.1,0.25,0.5,0.75,0.9,0.99] --local_connectivity=[1] --densmap=[True,False] --n_components=[2,5,10,15,25]
-
hdbscan_selection_grid=--min_cluster_sizes=[2,3,4,5] --min_samples=[2,3,4,5] --cluster_selection_epsilons=[0,0.01,0.05,0.1,0.15,0.2] --cluster_selection_methods=[eom,leaf]
affinity_selection_grid=--dampings=[0.5,0.6,0.7,0.8,0.95,0.97,0.99] --preference_quantiles=[0.1,0.3,0.5,0.7,0.9] --convergence_iters=[15]
-authors_10k_input=$(similarity_data)/subreddit_comment_authors_10k.feather
-authors_10k_input_lsi=$(similarity_data)/subreddit_comment_authors_10k_LSI
-authors_10k_output=$(clustering_data)/subreddit_comment_authors_10k
-authors_10k_output_lsi=$(clustering_data)/subreddit_comment_authors_10k_LSI
-
-authors_tf_10k_input=$(similarity_data)/subreddit_comment_authors-tf_10k.feather
authors_tf_10k_input_lsi=$(similarity_data)/subreddit_comment_authors-tf_10k_LSI
-authors_tf_10k_output=$(clustering_data)/subreddit_comment_authors-tf_10k
authors_tf_10k_output_lsi=$(clustering_data)/subreddit_comment_authors-tf_10k_LSI
-terms_10k_input=$(similarity_data)/subreddit_comment_terms_10k.feather
-terms_10k_input_lsi=$(similarity_data)/subreddit_comment_terms_10k_LSI
-terms_10k_output=$(clustering_data)/subreddit_comment_terms_10k
-terms_10k_output_lsi=$(clustering_data)/subreddit_comment_terms_10k_LSI
-
-all:terms_10k authors_10k authors_tf_10k terms_10k_lsi authors_10k_lsi authors_tf_10k_lsi
-
-terms_10k:${terms_10k_output}/kmeans/selection_data.csv ${terms_10k_output}/affinity/selection_data.csv ${terms_10k_output}/hdbscan/selection_data.csv
-
-authors_10k:${authors_10k_output}/kmeans/selection_data.csv ${authors_10k_output}/hdbscan/selection_data.csv ${authors_10k_output}/affinity/selection_data.csv
-
-authors_tf_10k:${authors_tf_10k_output}/kmeans/selection_data.csv ${authors_tf_10k_output}/hdbscan/selection_data.csv ${authors_tf_10k_output}/affinity/selection_data.csv
-
-terms_10k_lsi:${terms_10k_output_lsi}/kmeans/selection_data.csv ${terms_10k_output_lsi}/affinity/selection_data.csv ${terms_10k_output_lsi}/hdbscan/selection_data.csv
-
-authors_10k_lsi:${authors_10k_output_lsi}/kmeans/selection_data.csv ${authors_10k_output_lsi}/hdbscan/selection_data.csv ${authors_10k_output_lsi}/affinity/selection_data.csv
+all:authors_tf_10k_lsi
authors_tf_10k_lsi:${authors_tf_10k_output_lsi}/kmeans/selection_data.csv ${authors_tf_10k_output_lsi}/hdbscan/selection_data.csv ${authors_tf_10k_output_lsi}/affinity/selection_data.csv
-${authors_10k_output}/kmeans/selection_data.csv:selection.py ${authors_10k_input} clustering_base.py kmeans_clustering.py
- $(srun_singularity) python3 kmeans_clustering.py --inpath=${authors_10k_input} --outpath=${authors_10k_output}/kmeans --savefile=${authors_10k_output}/kmeans/selection_data.csv $(kmeans_selection_grid)
-
-${terms_10k_output}/kmeans/selection_data.csv:selection.py ${terms_10k_input} clustering_base.py kmeans_clustering.py
- $(srun_singularity) python3 kmeans_clustering.py --inpath=${terms_10k_input} --outpath=${terms_10k_output}/kmeans --savefile=${terms_10k_output}/kmeans/selection_data.csv $(kmeans_selection_grid)
-
-${authors_tf_10k_output}/kmeans/selection_data.csv:clustering.py ${authors_tf_10k_input} clustering_base.py kmeans_clustering.py
- $(srun_singularity) python3 kmeans_clustering.py --inpath=${authors_tf_10k_input} --outpath=${authors_tf_10k_output}/kmeans --savefile=${authors_tf_10k_output}/kmeans/selection_data.csv $(kmeans_selection_grid)
-
-${authors_10k_output}/affinity/selection_data.csv:selection.py ${authors_10k_input} clustering_base.py affinity_clustering.py
- $(srun_singularity) python3 affinity_clustering.py --inpath=${authors_10k_input} --outpath=${authors_10k_output}/affinity --savefile=${authors_10k_output}/affinity/selection_data.csv $(affinity_selection_grid)
-
-${terms_10k_output}/affinity/selection_data.csv:selection.py ${terms_10k_input} clustering_base.py affinity_clustering.py
- $(srun_singularity) python3 affinity_clustering.py --inpath=${terms_10k_input} --outpath=${terms_10k_output}/affinity --savefile=${terms_10k_output}/affinity/selection_data.csv $(affinity_selection_grid)
-
-${authors_tf_10k_output}/affinity/selection_data.csv:clustering.py ${authors_tf_10k_input} clustering_base.py affinity_clustering.py
- $(srun_singularity) python3 affinity_clustering.py --inpath=${authors_tf_10k_input} --outpath=${authors_tf_10k_output}/affinity --savefile=${authors_tf_10k_output}/affinity/selection_data.csv $(affinity_selection_grid)
-
-${authors_10k_output}/hdbscan/selection_data.csv:selection.py ${authors_10k_input} clustering_base.py hdbscan_clustering.py
- $(srun_singularity) python3 hdbscan_clustering.py --inpath=${authors_10k_input} --outpath=${authors_10k_output}/hdbscan --savefile=${authors_10k_output}/hdbscan/selection_data.csv $(hdbscan_selection_grid)
-
-${terms_10k_output}/hdbscan/selection_data.csv:selection.py ${terms_10k_input} clustering_base.py hdbscan_clustering.py
- $(srun_singularity) python3 hdbscan_clustering.py --inpath=${terms_10k_input} --outpath=${terms_10k_output}/hdbscan --savefile=${terms_10k_output}/hdbscan/selection_data.csv $(hdbscan_selection_grid)
-
-${authors_tf_10k_output}/hdbscan/selection_data.csv:clustering.py ${authors_tf_10k_input} clustering_base.py hdbscan_clustering.py
- $(srun_singularity) python3 hdbscan_clustering.py --inpath=${authors_tf_10k_input} --outpath=${authors_tf_10k_output}/hdbscan --savefile=${authors_tf_10k_output}/hdbscan/selection_data.csv $(hdbscan_selection_grid)
-
-
## LSI Models
-${authors_10k_output_lsi}/kmeans/selection_data.csv:selection.py ${authors_10k_input_lsi} clustering_base.py kmeans_clustering.py
- $(srun_singularity) python3 kmeans_clustering_lsi.py --inpath=${authors_10k_input_lsi} --outpath=${authors_10k_output_lsi}/kmeans --savefile=${authors_10k_output_lsi}/kmeans/selection_data.csv $(kmeans_selection_grid)
-
-${terms_10k_output_lsi}/kmeans/selection_data.csv:selection.py ${terms_10k_input_lsi} clustering_base.py kmeans_clustering.py
- $(srun_singularity) python3 kmeans_clustering_lsi.py --inpath=${terms_10k_input_lsi} --outpath=${terms_10k_output_lsi}/kmeans --savefile=${terms_10k_output_lsi}/kmeans/selection_data.csv $(kmeans_selection_grid)
-
${authors_tf_10k_output_lsi}/kmeans/selection_data.csv:clustering.py ${authors_tf_10k_input_lsi} clustering_base.py kmeans_clustering.py
- $(srun_singularity) python3 kmeans_clustering_lsi.py --inpath=${authors_tf_10k_input_lsi} --outpath=${authors_tf_10k_output_lsi}/kmeans --savefile=${authors_tf_10k_output_lsi}/kmeans/selection_data.csv $(kmeans_selection_grid)
-
-${authors_10k_output_lsi}/affinity/selection_data.csv:selection.py ${authors_10k_input_lsi} clustering_base.py affinity_clustering.py
- $(srun_singularity) python3 affinity_clustering_lsi.py --inpath=${authors_10k_input_lsi} --outpath=${authors_10k_output_lsi}/affinity --savefile=${authors_10k_output_lsi}/affinity/selection_data.csv $(affinity_selection_grid)
-
-${terms_10k_output_lsi}/affinity/selection_data.csv:selection.py ${terms_10k_input_lsi} clustering_base.py affinity_clustering.py
- $(srun_singularity) python3 affinity_clustering_lsi.py --inpath=${terms_10k_input_lsi} --outpath=${terms_10k_output_lsi}/affinity --savefile=${terms_10k_output_lsi}/affinity/selection_data.csv $(affinity_selection_grid)
+ $(srun_singularity) -c "source ~/.bashrc; python3 kmeans_clustering_lsi.py --inpath=${authors_tf_10k_input_lsi} --outpath=${authors_tf_10k_output_lsi}/kmeans --savefile=${authors_tf_10k_output_lsi}/kmeans/selection_data.csv $(kmeans_selection_grid)"
${authors_tf_10k_output_lsi}/affinity/selection_data.csv:clustering.py ${authors_tf_10k_input_lsi} clustering_base.py affinity_clustering.py
- $(srun_singularity) python3 affinity_clustering_lsi.py --inpath=${authors_tf_10k_input_lsi} --outpath=${authors_tf_10k_output_lsi}/affinity --savefile=${authors_tf_10k_output_lsi}/affinity/selection_data.csv $(affinity_selection_grid)
-
-${authors_10k_output_lsi}/hdbscan/selection_data.csv:selection.py ${authors_10k_input_lsi} clustering_base.py hdbscan_clustering.py
- $(srun_singularity) python3 hdbscan_clustering_lsi.py --inpath=${authors_10k_input_lsi} --outpath=${authors_10k_output_lsi}/hdbscan --savefile=${authors_10k_output_lsi}/hdbscan/selection_data.csv $(hdbscan_selection_grid)
-
-${terms_10k_output_lsi}/hdbscan/selection_data.csv:selection.py ${terms_10k_input_lsi} clustering_base.py hdbscan_clustering.py
- $(srun_singularity) python3 hdbscan_clustering_lsi.py --inpath=${terms_10k_input_lsi} --outpath=${terms_10k_output_lsi}/hdbscan --savefile=${terms_10k_output_lsi}/hdbscan/selection_data.csv $(hdbscan_selection_grid)
+ $(srun_singularity) -c "source ~/.bashrc; python3 affinity_clustering_lsi.py --inpath=${authors_tf_10k_input_lsi} --outpath=${authors_tf_10k_output_lsi}/affinity --savefile=${authors_tf_10k_output_lsi}/affinity/selection_data.csv $(affinity_selection_grid)"
${authors_tf_10k_output_lsi}/hdbscan/selection_data.csv:clustering.py ${authors_tf_10k_input_lsi} clustering_base.py hdbscan_clustering.py
- $(srun_singularity) python3 hdbscan_clustering_lsi.py --inpath=${authors_tf_10k_input_lsi} --outpath=${authors_tf_10k_output_lsi}/hdbscan --savefile=${authors_tf_10k_output_lsi}/hdbscan/selection_data.csv $(hdbscan_selection_grid)
-
-${authors_tf_10k_output_lsi}/umap_hdbscan/selection_data.csv:umap_hdbscan_clustering_lsi.py
- $(srun_singularity) python3 umap_hdbscan_clustering_lsi.py --inpath=${authors_tf_10k_input_lsi} --outpath=${authors_tf_10k_output_lsi}/umap_hdbscan --savefile=${authors_tf_10k_output_lsi}/umap_hdbscan/selection_data.csv $(umap_hdbscan_selection_grid)
-
-
-${terms_10k_output_lsi}/best_hdbscan.feather:${terms_10k_output_lsi}/hdbscan/selection_data.csv pick_best_clustering.py
- $(srun_singularity) python3 pick_best_clustering.py $< $@ --min_clusters=50 --max_isolates=5000 --min_cluster_size=2
+ $(srun_singularity) -c "source ~/.bashrc; python3 hdbscan_clustering_lsi.py --inpath=${authors_tf_10k_input_lsi} --outpath=${authors_tf_10k_output_lsi}/hdbscan --savefile=${authors_tf_10k_output_lsi}/hdbscan/selection_data.csv $(hdbscan_selection_grid)"
${authors_tf_10k_output_lsi}/best_hdbscan.feather:${authors_tf_10k_output_lsi}/hdbscan/selection_data.csv pick_best_clustering.py
- $(srun_singularity) python3 pick_best_clustering.py $< $@ --min_clusters=50 --max_isolates=5000 --min_cluster_size=2
-
-${authors_tf_10k_output_lsi}/best_umap_hdbscan_2.feather:${authors_tf_10k_output_lsi}/umap_hdbscan/selection_data.csv pick_best_clustering.py
- $(srun_singularity) python3 pick_best_clustering.py $< $@ --min_clusters=50 --max_isolates=5000 --min_cluster_size=2
-
-best_umap_hdbscan.feather:${authors_tf_10k_output_lsi}/best_umap_hdbscan_2.feather
-
-# {'lsi_dimensions': 700, 'outpath': '/gscratch/comdata/output/reddit_clustering/subreddit_comment_authors-tf_10k_LSI/umap_hdbscan', 'silhouette_score': 0.27616957, 'name': 'mcs-2_ms-5_cse-0.05_csm-leaf_nn-15_lr-1.0_md-0.1_lc-1_lsi-700', 'n_clusters': 547, 'n_isolates': 2093, 'silhouette_samples': '/gscratch/comdata/output/reddit_clustering/subreddit_comment_authors-tf_10k_LSI/umap_hdbscan/silhouette_samples-mcs-2_ms-5_cse-0.05_csm-leaf_nn-15_lr-1.0_md-0.1_lc-1_lsi-700.feather', 'min_cluster_size': 2, 'min_samples': 5, 'cluster_selection_epsilon': 0.05, 'cluster_selection_method': 'leaf', 'n_neighbors': 15, 'learning_rate': 1.0, 'min_dist': 0.1, 'local_connectivity': 1, 'n_isolates_str': '2093', 'n_isolates_0': False}
+ $(srun_singularity) -c "source ~/.bashrc; python3 pick_best_clustering.py $< $@ --min_clusters=50 --max_isolates=5000 --min_cluster_size=2"
-best_umap_grid=--min_cluster_sizes=[2] --min_samples=[5] --cluster_selection_epsilons=[0.05] --cluster_selection_methods=[leaf] --n_neighbors=[15] --learning_rate=[1] --min_dist=[0.1] --local_connectivity=[1] --save_step1=True
+${authors_tf_10k_input_lsi}:
+ $(MAKE) -C ../similarities
-umap_hdbscan_coords:
- python3 umap_hdbscan_clustering_lsi.py --inpath=${authors_tf_10k_input_lsi} --outpath=${authors_tf_10k_output_lsi}/umap_hdbscan --savefile=/dev/null ${best_umap_grid}
-
-clean_affinity:
- rm -f ${authors_10k_output}/affinity/selection_data.csv
- rm -f ${authors_tf_10k_output}/affinity/selection_data.csv
- rm -f ${terms_10k_output}/affinity/selection_data.csv
-
-clean_kmeans:
- rm -f ${authors_10k_output}/kmeans/selection_data.csv
- rm -f ${authors_tf_10k_output}/kmeans/selection_data.csv
- rm -f ${terms_10k_output}/kmeans/selection_data.csv
-
-clean_hdbscan:
- rm -f ${authors_10k_output}/hdbscan/selection_data.csv
- rm -f ${authors_tf_10k_output}/hdbscan/selection_data.csv
- rm -f ${terms_10k_output}/hdbscan/selection_data.csv
-
-clean_authors:
- rm -f ${authors_10k_output}/affinity/selection_data.csv
- rm -f ${authors_10k_output}/kmeans/selection_data.csv
- rm -f ${authors_10k_output}/hdbscan/selection_data.csv
-
-clean_authors_tf:
- rm -f ${authors_tf_10k_output}/affinity/selection_data.csv
- rm -f ${authors_tf_10k_output}/kmeans/selection_data.csv
- rm -f ${authors_tf_10k_output}/hdbscan/selection_data.csv
-
-clean_terms:
- rm -f ${terms_10k_output}/affinity/selection_data.csv
- rm -f ${terms_10k_output}/kmeans/selection_data.csv
- rm -f ${terms_10k_output}/hdbscan/selection_data.csv
-
-clean_lsi_affinity:
- rm -f ${authors_10k_output_lsi}/affinity/selection_data.csv
- rm -f ${authors_tf_10k_output_lsi}/affinity/selection_data.csv
- rm -f ${terms_10k_output_lsi}/affinity/selection_data.csv
-
-clean_lsi_kmeans:
- rm -f ${authors_10k_output_lsi}/kmeans/selection_data.csv
- rm -f ${authors_tf_10k_output_lsi}/kmeans/selection_data.csv
- rm -f ${terms_10k_output_lsi}/kmeans/selection_data.csv
-
-clean_lsi_hdbscan:
- rm -f ${authors_10k_output_lsi}/hdbscan/selection_data.csv
- rm -f ${authors_tf_10k_output_lsi}/hdbscan/selection_data.csv
- rm -f ${terms_10k_output_lsi}/hdbscan/selection_data.csv
-
-clean_lsi_authors:
- rm -f ${authors_10k_output_lsi}/affinity/selection_data.csv
- rm -f ${authors_10k_output_lsi}/kmeans/selection_data.csv
- rm -f ${authors_10k_output_lsi}/hdbscan/selection_data.csv
-
-clean_lsi_authors_tf:
+clean:
rm -f ${authors_tf_10k_output_lsi}/affinity/selection_data.csv
rm -f ${authors_tf_10k_output_lsi}/kmeans/selection_data.csv
rm -f ${authors_tf_10k_output_lsi}/hdbscan/selection_data.csv
-clean_lsi_terms:
- rm -f ${terms_10k_output_lsi}/affinity/selection_data.csv
- rm -f ${terms_10k_output_lsi}/kmeans/selection_data.csv
- rm -f ${terms_10k_output_lsi}/hdbscan/selection_data.csv
-
-clean: clean_affinity clean_kmeans clean_hdbscan
-
-PHONY: clean clean_affinity clean_kmeans clean_hdbscan clean_authors clean_authors_tf clean_terms terms_10k authors_10k authors_tf_10k best_umap_hdbscan.feather umap_hdbscan_coords
-
-# $(clustering_data)/subreddit_comment_authors_30k.feather/SUCCESS:selection.py $(similarity_data)/subreddit_comment_authors_30k.feather clustering.py
-# $(srun_singularity) python3 selection.py $(similarity_data)/subreddit_comment_authors_30k.feather $(clustering_data)/subreddit_comment_authors_30k $(selection_grid) -J 10 && touch $(clustering_data)/subreddit_comment_authors_30k.feather/SUCCESS
-
-# $(clustering_data)/subreddit_comment_terms_30k.feather/SUCCESS:selection.py $(similarity_data)/subreddit_comment_terms_30k.feather clustering.py
-# $(srun_singularity) python3 selection.py $(similarity_data)/subreddit_comment_terms_30k.feather $(clustering_data)/subreddit_comment_terms_30k $(selection_grid) -J 10 && touch $(clustering_data)/subreddit_comment_terms_30k.feather/SUCCESS
-
-# $(clustering_data)/subreddit_authors-tf_similarities_30k.feather/SUCCESS:clustering.py $(similarity_data)/subreddit_comment_authors-tf_30k.feather
-# $(srun_singularity) python3 selection.py $(similarity_data)/subreddit_comment_authors-tf_30k.feather $(clustering_data)/subreddit_comment_authors-tf_30k $(selection_grid) -J 8 && touch $(clustering_data)/subreddit_authors-tf_similarities_30k.feather/SUCCESS
-
-
-# $(clustering_data)/subreddit_comment_authors_100k.feather:clustering.py $(similarity_data)/subreddit_comment_authors_100k.feather
-# $(srun_singularity) python3 clustering.py $(similarity_data)/subreddit_comment_authors_100k.feather $(clustering_data)/subreddit_comment_authors_100k.feather ---max_iter=400 --convergence_iter=15 --preference_quantile=0.85 --damping=0.85
-
-# $(clustering_data)/comment_terms_100k.feather:clustering.py $(similarity_data)/subreddit_comment_terms_100k.feather
-# $(srun_singularity) python3 clustering.py $(similarity_data)/comment_terms_10000.feather $(clustering_data)/comment_terms_10000.feather ---max_iter=1000 --convergence_iter=15 --preference_quantile=0.9 --damping=0.5
-
-# $(clustering_data)/subreddit_comment_author-tf_100k.feather:clustering.py $(similarity_data)/subreddit_comment_author-tf_100k.feather
-# $(srun_singularity) python3 clustering.py $(similarity_data)/subreddit_comment_author-tf_100k.parquet $(clustering_data)/subreddit_comment_author-tf_100k.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
+PHONY: clean
projects / cdsc_reddit.git / blobdiff