1. Getting Started

1.1. Introduction

mclearn is a Python package that implement selected multiclass active learning algorithms, with a special focus in astronomical data.

1.2. Installation

The presequisites are Python 3.4, numpy, pandas, matplotlib, and scikit-learn. To install using pip:

pip install mclearn

1.3. Example Notebooks

As a quick start, have a look at the following Jupyter notebooks and see what mclearn can do:

• About the SDSS Dataset
• Dimensionality Reduction in SDSS
• Feature Selection of Photometric Measurements
• Implementing Standard Classifiers
• Active Learning with Contextual Bandits
• Active Learning with Logistic Regression
• Making Photometric Prediction