lazylearn 0.0.2

lazy-learn is a high-level Python interface for automated machine learning (AutoML) for the lazy data scientist. While there are many AutoML libraries available each typically solves a niche area of the overall ML pipeline without providing a covering and approachable end-to-end system. lazy-learn aims at providing the most approachable and fastest access to building baseline models.

lazy-learn is a high-level Python interface for automated machine learning (AutoML). While there are many AutoML libraries available each typically solves a niche area of the overall ML pipeline without providing a covering and approachable end-to-end system.

The aim of lazy-learn is exactly that. Given a dataset, easy-learn will analyse types and distributions of attributes, preprocess, feature-engineer and ultimately train models to be used for further evaluation or inference.

Usage

Using lazy-learn revolves around the LazyLearner class. You can think of it as a kind of project, and it is the wrapper for any experiment within lazy-learn.

Installation

Dependencies

lazy-learn requires:

• pandas
• scikit-learn

User Installation

pip install lazy-learn

Help and Support

Documentation

Citation