rush introduces a shared-state coordination layer for asynchronous distributed iterative algorithms in R via Redis, with integration to mlr3 and a demonstration on decentralized Bayesian optimization for LightGBM tuning across four datasets with 448 workers.
Batchtools: Tools for R to Work on Batch Systems
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Large-scale neutral benchmark of survival models on low-dimensional right-censored data finds Cox PH performs comparably to more complex methods across discrimination, calibration, and predictive metrics.
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rush: Scalable Asynchronous Distributed Computing via Shared State in R
rush introduces a shared-state coordination layer for asynchronous distributed iterative algorithms in R via Redis, with integration to mlr3 and a demonstration on decentralized Bayesian optimization for LightGBM tuning across four datasets with 448 workers.
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A Large-Scale Neutral Comparison Study of Survival Models on Low-Dimensional Data
Large-scale neutral benchmark of survival models on low-dimensional right-censored data finds Cox PH performs comparably to more complex methods across discrimination, calibration, and predictive metrics.