Documentation of mclearn

Multiclass Active Learning Algorithms with Application in Astronomy.

Author:Alasdair Tran License:This package is distributed under a a 3-clause (“Simplified” or “New”) BSD license. Source:https://github.com/alasdairtran/mclearn

Contents

• 1. Getting Started
  • 1.1. Introduction
  • 1.2. Installation
  • 1.3. Example Notebooks
• 2. Photometric Data
  • 2.1. Dust Extinction
• 3. Data Preprocessing
  • 3.1. Normalisation
  • 3.2. Balanced Train-Test Split
• 4. Performance Measures
  • 4.1. Naive Accuracy
  • 4.2. Balanced Accuracy
  • 4.3. Recall
  • 4.4. Precision
• 5. Active Learning
  • 5.1. Main Active Learning Routine
  • 5.2. Heuristics
• 6. Visualisations
  • 6.1. Learning Curves
  • 6.2. Mollweide Projection
  • 6.3. Miscellaneous Visualisations
• 7. API Reference
  • 7.1. Classifiers
  • 7.2. Active Learner
  • 7.3. Active Learning Heuristics
  • 7.4. Performance Measures
  • 7.5. Photometric Data
  • 7.6. Data Preprocessing
  • 7.7. Visualisations

Indices and tables

• Index
• Module Index
• Search Page