feat: parallelize per-library spatial graph construction#1144
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Marius1311 wants to merge 1 commit intoscverse:mainfrom
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feat: parallelize per-library spatial graph construction#1144Marius1311 wants to merge 1 commit intoscverse:mainfrom
Marius1311 wants to merge 1 commit intoscverse:mainfrom
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Add `n_jobs` parameter to `spatial_neighbors()` to compute per-library graphs in parallel via joblib. Defaults to 1 (sequential, no behavior change). Set to -1 to use all CPUs. When `library_key` is set, each library's graph is already computed independently, so this is a trivially parallel workload. For datasets with many libraries (e.g., multi-sample spatial transcriptomics), this gives a near-linear speedup.
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Add
n_jobsparameter tospatial_neighbors()to compute per-library graphs in parallel via joblib. Defaults to 1 (sequential, no behavior change). Set to -1 to use all CPUs.When
library_keyis set, each library's graph is already computed independently, so this is a trivially parallel workload. For datasets with many libraries (e.g., multi-sample spatial transcriptomics), this gives a near-linear speedup.IMPORTANT: Please search among the Pull requests before creating one.
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