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Efficient binary storage of ML models

copied from cf-staging / binpickle

Installers

  • linux-64 v0.3.4
  • osx-64 v0.3.4
  • win-64 v0.3.4
  • linux-aarch64 v0.3.4
  • osx-arm64 v0.3.4
  • noarch v0.3.4

conda install

To install this package run one of the following:
conda install conda-forge::binpickle

Description

The binpickle module uses Pickle Protocol 5 to enable efficient serialization of Scientific Python models, such as those learned by scikit-learn, to disk in with their large arrays either compressed (optionall with Blosc) or configured for memory-mapped use to support shared memory multiprocessing.


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