Welcome to RAMP-workflow’s documentation!

RAMP-workflow is part of the RAMP ecosystem. The purpose of RAMP is to define, build, manage, and optimize data analytics workflows, typically on the top of open source machine learning libraries like pandas, scikit-learn, and keras. RAMP-workflow consists of a set of reusable tools and scripts to define score types (metrics), workflow elements and prediction types.

Installation

Ramp-workflow is available on PyPI and can be installed via pip:

$ pip install ramp-workflow

What can RAMP offer you?

• Who are you
  • I am a data science student
  • I am a practicing data scientist
  • I am a data science teacher
  • I am a machine learning researcher
  • I am a researcher in a domain science

Using RAMP workflow

• Build your own RAMP challenge
  • Data
  • Minimal requirements
  • Full starting-kit
  • Overall directory structure
• Preparing your data
  • RAMP data
• The problem.py file
• RAMP execution
  • Training and scoring a submission
  • The functional data flow
• RAMP-workflow commands
  • ramp-test
  • ramp-show
• Contributing
  • Code style
  • Testing ramp-board
  • Release process

Using RAMP kits

• Using RAMP starting-kits
  • Get the starting-kit
  • Install dependencies
  • Test a submission
  • Submitting to a RAMP event

Additional information

• Release history
  • 0.6.0 - 2023-03-13
  • 0.5.0 - 2022-04-04
  • 0.4.0 - 2020-04-14
  • 0.3.3 - 2020-03-13
  • 0.3.2 - 2020-02-28
  • 0.3.2 - 2020-02-28
  • 0.3.1 - 2020-02-01
  • 0.3.0 - 2020-01-30
  • 0.2.1 - 2020-01-21
  • 0.2.0 - 2020-01-21
  • v0.2.0 (git tag only) - 2017-11-06
  • v0.1.0 (git tag only) - 2017-10-10