Pre-release
This release is a pre-release and may not be stable for production use.
distributed-mean-estimation
Algorithms for Distributed Mean Estimation (DME) in PyTorch.
Installation
Install this library using pip:
pip install distributed-mean-estimation
Usage
Usage instructions go here.
Development
To contribute to this library, first checkout the code. Then create a new virtual environment:
cd distributed-mean-estimation
python -m venv venv
source venv/bin/activate
Now install the dependencies and test dependencies:
pip install -e ".[test]"
To run the tests:
pytest
Release files for distributed-mean-estimation 0.1a2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| distributed-mean-estimation-0.1a2.tar.gz | 14.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| distributed_mean_estimation-0.1a2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 33.7 kB
Release files / distributed-mean-estimation-0.1a2.tar.gz
| Download URL | distributed-mean-estimation-0.1a2.tar.gz |
|---|---|
| Size | 14.4 kB |
| Tags | Source |
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Release files / distributed_mean_estimation-0.1a2-py3-none-any.whl
| Download URL | distributed_mean_estimation-0.1a2-py3-none-any.whl |
|---|---|
| Size | 19.3 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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