Algorithm similarity eval - general implementation #214
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agitter
requested changes
May 2, 2025
| algo_similarity_heatmap = SEP.join([out_dir, '{dataset}-ml', 'jaccard-heatmap.png']) | ||
| run: | ||
| summary_df = ml.summarize_networks(input.pathways) | ||
| jaccard = ml.jaccard_similarity_eval(summary_df, output.algo_similarity_matrix, output.algo_similarity_heatmap) |
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Don't need to store the output if it isn't used
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Just to make sure I understand correctly - should I be changing line 33 & 34 to:
jaccard = ml.jaccard_similarity_eval(ml.summarize_networks(input.pathways), output.algo_similarity_matrix, output.algo_similarity_heatmap)
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As discussed - this is the general implementation only, and once this is approved - will work on the per_algo implementation