Code Monkey home page Code Monkey logo

Comments (3)

cjdjr avatar cjdjr commented on August 19, 2024

Thanks for your interest in our work!
We evaluate algorithms in different episodes (see test_data.csv). This test dataset consists of four parts: Spring (Mar., Apr.,
May.), Summer (Jun., Jul., Aug.), Fall (Sept., Oct., Nov.), Winter (Dec.,Jan., Feb). The test results of different months in the same season are averaged and reported.

from t-maac.

DongChen06 avatar DongChen06 commented on August 19, 2024

Thanks for your quick reply! The information is really helpful.

Just want to confirm that if I want to get the stats for month#1, then I can just enter the day_id one by one to get the stats?
image

from t-maac.

cjdjr avatar cjdjr commented on August 19, 2024

You can run the code just like this:
python test.py --save-path trial/model_save --alg icstransmaddpg --alias example_0 --scenario case141_3min_final --qweight 0.01 --voltage-barrier-type l2 --test-mode test_data

Then you can get results of each episode.

from t-maac.

Related Issues (3)

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.