semvec/pypi-packages huggingface dataset:
giants 1.0.0
Statistical and geospatial modeling tools for mapping big trees.
License: MIT
Requires Python: >=3.0
Keywords: ecology,conservation,remote sensing,machine learning

# giants

<img src="https://the.forestobservatory.com/assets/shared/banner-giants.jpg" alt="giant forests"/>

<p align="center">
  <em>Basic machine learning optimization support, developed to identify big trees.</em>
</p>

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**Documentation**: [the.forestobservatory.com/giants](https://the.forestobservatory.com/giants)

**Source code**: [forestobservatory/giants](https://github.com/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](https://github.com/forestobservatory/cfo-big-trees) but we found it useful enough to clean it up and publish it as a standalone package for easy re-use.

## Install

```bash
pip install giants
```

## Developed by

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