X-Git-Url: https://code.communitydata.science/cdsc_reddit.git/blobdiff_plain/4cb7eeec80c5a9c8f49339acd378c515e290ed81..541e125b28dbca5c06d2160a5cd59ce112657b2a:/clustering/Makefile?ds=inline diff --git a/clustering/Makefile b/clustering/Makefile index 7e8cf39..9643f52 100644 --- a/clustering/Makefile +++ b/clustering/Makefile @@ -2,9 +2,9 @@ srun_singularity=source /gscratch/comdata/users/nathante/cdsc_reddit/bin/activate && srun_singularity.sh similarity_data=/gscratch/comdata/output/reddit_similarity clustering_data=/gscratch/comdata/output/reddit_clustering -kmeans_selection_grid="--max_iters=[3000] --n_inits=[10] --n_clusters=[100,500,1000,1250,1500,1750,2000]" -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=[0.5,0.55,0.6,0.65,0.7,0.75,0.8,0.85,0.95,0.97,0.99] --preference_quantiles=[0.1,0.3,0.5,0.7,0.9] --convergence_iters=[30]" +kmeans_selection_grid=--max_iters=[3000] --n_inits=[10] --n_clusters=[100,500,1000,1250,1500,1750,2000] +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 @@ -91,7 +91,11 @@ ${terms_10k_output_lsi}/hdbscan/selection_data.csv:selection.py ${terms_10k_inpu ${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 $(hdbscan_selection_grid) +${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 $< $@ --min_clusters=50 --max_isolates=5000 --min_cluster_size=2 +${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 clean_affinity: rm -f ${authors_10k_output}/affinity/selection_data.csv