helicopter 0.0.1

Linking Julia helicopter challenge to Microprediction.Org

helicopter

Yes this is a Python package but it was inspired by the Helicopter Julia Challenge created by Chris Rackausckas of the SciML group at MIT. In that challenge contestants are provided incomplete data from a helicopter and asked to infer the latent dynamics.

Background information

• Video of the helicopter https://www.youtube.com/watch?v=2g1-sDZ3BVw
• Home page of challenge https://github.com/SciML/HelicopterSciML.jl
• Chris will be teaching how to do automated discovery of missing physical equations from a first principle model at at workshop on July 26th, 2020. Sign up for JuliaCon at https://juliacon.org/2020/

The goal of the Julia challenge is to utilize automated tools to discover a physcially-explainable model that accurately predicts the dynamics of the system.

Raw data

You can pull into pandas with:

data = pd.read_csv('https://raw.githubusercontent.com/SciML/HelicopterSciML.jl/master/data/Lab-Helicopter_Experimental-data.csv')

Why this package?

Purpose:

• To include the time series of helicopter data at www.microprediction.org as a test of how well time series algorithms perform.
• To force me to write a Julia client for www.microprediction.org and learn some Julia