Metadata-Version: 2.1
Name: helicopter
Version: 0.0.6
Summary: Linking SciML Julia helicopter challenge to Microprediction.Org
Home-page: https://github.com/microprediction/helicopter
Author: microprediction
Author-email: info@microprediction.com
License: MIT
Description: # helicopter
        
        ## Fork me
        
        Tiny repo that creates a helicopter data stream at Microprediction.Org
        
        It also contains some snippets of code showing how to:
         
         - Retrive and interpret bivariate stream data at Microprediction.Org
         - Fit a copula function
         - Make a prediction submission 
        
        See [article](https://www.linkedin.com/pulse/helicopulas-peter-cotton-phd/) for more explanation. 
        
        
        ![https://www.linkedin.com/pulse/helicopulas-peter-cotton-phd/](https://i.imgur.com/vuWAeLg.png)
        
        
        ## Background information 
        
        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. 
        
        
        - 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.
        
        ## A quick peek at the helicopter data
        
            import pandas as pd 
            data = pd.read_csv('https://raw.githubusercontent.com/SciML/HelicopterSciML.jl/master/data/Lab-Helicopter_Experimental-data.csv').plot()
            
        ## Fitting implied helicopter data 
        
        See [helicopter/exploratory/helicopula.py](https://github.com/microprediction/helicopter/blob/master/exploratory/helicopula.py) 
        
        ## If you prefer notebooks: 
        
           https://github.com/microprediction/PDCI/blob/master/helicopula.ipynb
           
        
           
        
        
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Description-Content-Type: text/markdown
