Factual package intelligence from PyPI

optimal-mean-estimator 2.0.0 package intelligence

a Python implementation of the optimal subgaussian mean estimator that was published by Lee and Valiant at https://arxiv.org/abs/2011.08384

pip install optimal-mean-estimator

Current version
2.0.0
Python requirement
>=3.7
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
24.9 KiB
Release history
3 releases with files
Median release cadence
7 days

optimal-mean-estimator dependencies

PyPI declares 2 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy
  2. scipy

Compatibility and release files

optimal-mean-estimator publishes 1 wheel and 1 source archive for version 2.0.0. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Release activity and sources

PyPI lists 3 releases with files. The first dated release is ; 3 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .