giants
Basic machine learning optimization support, developed to identify big trees.
Documentation: the.forestobservatory.com/giants
Source code: forestobservatory/giants
Introduction
giants is a simple package that provides python support for tuning sklearn models via hyperparameter searches. There are a series of pre-defined configurations and hyperparameter grids defined for a series of models, which should be fairly easy to extend as needed.
It was originally developed for the Big Trees project but we found it useful enough to clean it up and publish it as a standalone package for easy re-use.
Install
pip install giants
Developed by
1 maintainer
Metadata
1 maintainer
Release files for giants 1.0.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| giants-1.0.0.tar.gz | 7.9 kB | Without provenance | Details |
Built distributions (wheels)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| giants-1.0.0-py3-none-any.whl | Python 3 | none | any | Details |
| giants-1.0.0-1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 25.1 kB
Release files / giants-1.0.0.tar.gz
| Download URL | giants-1.0.0.tar.gz |
|---|---|
| Size | 7.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / giants-1.0.0-py3-none-any.whl
| Download URL | giants-1.0.0-py3-none-any.whl |
|---|---|
| Size | 8.6 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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twine/3.4.2 importlib_metadata/4.5.0 pkginfo/1.7.1 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.1 CPython/3.9.5
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Release files / giants-1.0.0-1-py3-none-any.whl
| Download URL | giants-1.0.0-1-py3-none-any.whl |
|---|---|
| Size | 8.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Security for giants 1.0.0
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