Welcome to ATM’s documentation!

Contents:

• ATM: Scalable model selection and tuning
  • Background
  • Our goal: flexibility and power
• Setup
  • 0. Requirements
  • 1. Install ATM
  • 2. Install a database
  • 3. Start using ATM!
• Quick-start guide
  • Create a datarun
  • Execute the datarun
• Guide to the ModelHub database
  • Datasets
  • Dataruns
  • Hyperpartitions
  • Classifiers
• Contributing to ATM and BTB
  • Ways to contribute
  • Requirements
  • Style
  • Tests
  • Docs
• Adding a classification method
  • 1. Valid method classes
  • 2. Creating the JSON file
  • 3. (Optional) Adding a new method to the ATM library
• Adding a BTB Selector or Tuner