Code Monkey home page Code Monkey logo

2019-ncov's People

Contributors

tmacdou4 avatar

Stargazers

avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar

Watchers

avatar avatar avatar

Forkers

bigdatasciencegroup zie225 stjordanis vdt jlturner9212 jayeshgharat vanova haiahems harimenath thedarsideofit keshav787 jafari-ai ankittomar-ai sparkingdark nahliabdelwahed manoj1995madushanka bharath5673 allaitim gopalrk gokhu18 joshuagithub ispark323 mrinath123 deepstatsanalysis shifathossain gdeepakdeepuml nehz ramstein jbdatascience chengtianyue s-c-p dharmogata pratikp204

2019-ncov's Issues

Error in the predict() function from the Report jupyter notebook..

Hello,

Thanks for the great project. It is quite interesting. As a learning exercise, I was trying to reproduce your results by rerunning your project. (New to Pytorch)

I am trying to run your

Report_Thomas_MacDougall.ipynb

in colab.

During the predict phase in the Edge Memory NN,
I get a ValueError: Wrong number of items passed 2, placement implies 1 while trying to insert the output into the dataframe.

df.insert(1, 'pred_log_std_scaled', output, True).

When I look for the shape of the output variable in the predict function, it is of 46 x 2 and the test dataset is of 819 x 1. This size match might be causing the error. Just wondering what output means there? Should it also be of 819 x 1. ( ie; one value of each of the input entry).

did it work ?

did it work ?
on actual corona virus effected patient ?

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.