Statistical and geospatial modeling tools for mapping big trees.
Project description
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
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
Built Distributions
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 giants-1.0.0.tar.gz.
File metadata
- Download URL: giants-1.0.0.tar.gz
- Upload date:
- Size: 7.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: 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
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
b4a24513c8d6efd81a3e4751ae45f70d07b607d5da677e41472a50fd79aac717
|
|
| MD5 |
5a197420327bdc3591b419c03117f6f7
|
|
| BLAKE2b-256 |
31b12425470cf117762d54a77d40497a69197a6b26ccf21aec58f13ca62a7f4b
|
File details
Details for the file giants-1.0.0-py3-none-any.whl.
File metadata
- Download URL: giants-1.0.0-py3-none-any.whl
- Upload date:
- Size: 8.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: 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
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
b9ce09ed719e927ef1f1fb925c2b1c6096ab102a1dfce47ce2a4d44a639990d8
|
|
| MD5 |
b07f973293e9faef1d1d6ee68313ca28
|
|
| BLAKE2b-256 |
6264f955af2584cbd7e7c226e25c4b4de581517f40eae7b6a37cf12920e2d543
|
File details
Details for the file giants-1.0.0-1-py3-none-any.whl.
File metadata
- Download URL: giants-1.0.0-1-py3-none-any.whl
- Upload date:
- Size: 8.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: 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
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
405dddc2697d1bc6be183c12f38b89cfe3784d1faf3e1a6314844f4a32e31f19
|
|
| MD5 |
9bed4ab9bedcd0b1822c2ee56366d132
|
|
| BLAKE2b-256 |
27a1eb4073fff0e9960a4468b6715c75df70b6765f0ce06e465f84e52e8ba30e
|