Metaoptimization of genetic algorithms for machine learning
Project description
GeneLearn
A Machine Learning optimization project.
Using a genetic algorithm for hyperparameter tuning.
Collecting data on this process to optimize efficiency.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
GeneLearn-0.0.0.tar.gz
(162.1 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file GeneLearn-0.0.0.tar.gz.
File metadata
- Download URL: GeneLearn-0.0.0.tar.gz
- Upload date:
- Size: 162.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: python-requests/2.24.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
9e02bd530f73a7ae6dd189716d75dbcadde49373ce200d3fdb97597b61f7399d
|
|
| MD5 |
6a5cf2148cd848b7a9d7752db229bdd4
|
|
| BLAKE2b-256 |
2cfa0b0a7e9784e4b3e785ffa2dbf3ed0a298989d19fb6f3cb3b4fe9baa99d51
|
File details
Details for the file GeneLearn-0.0.0-py2.py3-none-any.whl.
File metadata
- Download URL: GeneLearn-0.0.0-py2.py3-none-any.whl
- Upload date:
- Size: 5.0 kB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: python-requests/2.24.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
12c729158b3042792b2231c56e0d5a98c7cf685d171a5e7b1dc100fba3ee1ad4
|
|
| MD5 |
16b501db59c2016450ed6e69c85531a7
|
|
| BLAKE2b-256 |
53b0e99ed08b788c602846316775c1553d246a45fe90dfc7ecc363a4ac505d37
|