
MCMC methods for neural networks.
eeyore can be installed via conda or via pip.
To install eeyore using conda, run ` conda install -c conda-forge eeyore `
To install eeyore using pip, run ` pip install eeyore `
Release files for eeyore 0.0.20
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| eeyore-0.0.20.tar.gz | 27.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| eeyore-0.0.20-py3-none-any.whl | Python 3 | none | any | Details |
Total release size:80.1 kB
Release files / eeyore-0.0.20.tar.gz
| Download URL | eeyore-0.0.20.tar.gz |
|---|---|
| Size | 27.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
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twine/4.0.1 CPython/3.7.13
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Release files / eeyore-0.0.20-py3-none-any.whl
| Download URL | eeyore-0.0.20-py3-none-any.whl |
|---|---|
| Size | 52.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.7.13
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