Table of Contents
Jacaranda is a wrapper package around several Data Science and Machine Learning librarys, such as
which creates an easy interface to interact, and automatically tune models produced by these libraries.
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
Currently, there are various ways this package can be installed. These include
- GitHub
- pip
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.
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.
pip install https://github.com/jacaranda-analytics/jacaranda/archive/master.zipTo install through pip, simply run
pip install jacaranda