https://github.com/jacaranda-analytics/jacaranda
Jacaranda provides an easy interface to produce and tune AI and Machine learning models.
https://github.com/jacaranda-analytics/jacaranda
data-science kaggle machine-learning neural-network pytorch xgboost
Last synced: 2 months ago
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Jacaranda provides an easy interface to produce and tune AI and Machine learning models.
- Host: GitHub
- URL: https://github.com/jacaranda-analytics/jacaranda
- Owner: jacaranda-analytics
- License: mit
- Created: 2022-12-05T12:20:00.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2022-12-20T09:50:00.000Z (over 3 years ago)
- Last Synced: 2025-01-03T21:20:28.224Z (over 1 year ago)
- Topics: data-science, kaggle, machine-learning, neural-network, pytorch, xgboost
- Language: Python
- Homepage: https://pypi.org/project/jacaranda/
- Size: 27.3 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE.md
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README
Jacaranda
========================
[](https://badge.fury.io/py/jacaranda) [](https://badge.fury.io/gh/jacaranda-analytics%2Fjacaranda)[](https://opensource.org/licenses/MIT)
**Table of Contents**
- [Jacaranda ](#jacaranda)
- [Description](#description)
- [Examples](#examples)
- [Installation](#installation)
- [GitHub](#github)
- [Pip](#pip)
- [Examples](#examples-1)
- [License](#license)
# Description
Jacaranda is a wrapper package around several Data Science and Machine Learning
librarys, such as
- [PyTorch](https://pytorch.org)
- [XGboost](https://xgboost.readthedocs.io/en/stable/)
which creates an easy interface to interact, and automatically tune models produced
by these libraries.
# Examples
Examples for using the Jacaranda API to tune the following list of models is available in the examples folder.
- Autoencoder
- Variational Autoencode
- Xgboost decicion tree
- 1D Convolutional Neural Network
- Multilayer Perceptron
# Installation
Currently, there are various ways this package can be installed.
These include
- GitHub
- pip
## GitHub
To install from GitHub there are two options,
the first option is to clone the repository and do a local installation from the cloned directory.
```sh
git clone git@github.com:jacaranda-analytics/jacaranda.git
cd jacaranda/ && pip install .
```
The second option is to install from GitHub without first cloning the repository,
to install the latest master branch, run the command.
```sh
pip install https://github.com/jacaranda-analytics/jacaranda/archive/master.zip
```
## Pip
To install through pip, simply run
```python
pip install jacaranda
```
# License
- [MIT](LICENSE.md)