1 रिपॉजिटरी
Disk-based caching systems that specifically store return values of functions based on input arguments.
Distinct from Disk Caching Systems: Focuses on memoizing function results based on input hashes, not just offloading large data for memory management.
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Joblib is a suite of utilities for parallelizing computational workloads and optimizing the storage of large numerical datasets and function results. It functions as a parallel computing library and multiprocessing wrapper that distributes function execution across multiple CPU cores to accelerate independent tasks and computational loops. The project provides a disk caching framework that persists expensive function outputs to the filesystem, re-evaluating them only when input arguments change. It further specializes in the serialization of large numerical arrays, utilizing efficient compres
Provides a framework for persisting expensive function outputs to the filesystem to avoid redundant computations.