Predictive Hyper Parameter Optimisation
Implementation of a newly developed Predictive Hyperparameter Optimisation algorithm.
https://pypi.org/project/predictiveopt/
Installation
pip install predictiveopt
Building instructions
- Building the package:
python setup.py sdist bdist_wheel - Uploading to PyPi:
python -m twine upload dist/* - Uploading new versions:
twine upload --skip-existing dist/*
1 maintainer
Release files for predictiveopt 0.0.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| predictiveopt-0.0.3.tar.gz | 3.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| predictiveopt-0.0.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 20.5 kB
Release files / predictiveopt-0.0.3.tar.gz
| Download URL | predictiveopt-0.0.3.tar.gz |
|---|---|
| Size | 3.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/2.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.7.4
|
Release files / predictiveopt-0.0.3-py3-none-any.whl
| Download URL | predictiveopt-0.0.3-py3-none-any.whl |
|---|---|
| Size | 16.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
9834037290586746f10c0aa3443f14bb45f1a3222e96f2a9912307e1878a3450
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|
BLAKE2b-256 checksum How to use checksums |
08f04e506de04789423a27ffcfd84088cfa6f2ea89aab7f8b21e94d20da74ad1
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/2.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.7.4
|
