Jade is a python package aimed at simplifying the development and deployment cycle associated with building machine-learning models. It enables much more mental clarity during the process of designing a learning algorithm by allowing developers to easily compartmentalize the problem they’re working on.
Features: - Ability to define modular data transformations that become a part of your model. This helps developers stay organized during the model building process, and makes transitioning models across developers painless. - Tools for transforming both predictors AND responses in a single step. - Tools for easily doing data augmentation. - Ability to easily save and deploy models. - Allows for more intuitive interaction with model building process.
For installation and usage instructions please see the documentation.
File an issue in the GitHub issue tracker.