Giter Club home page Giter Club logo

Comments (6)

annaveronika avatar annaveronika commented on May 18, 2024 1

https://catboost.ai/docs/concepts/python-reference_datasets_amazon.html - here's the description of what is in amazon dataset columns

https://catboost.ai/docs/concepts/input-data_column-descfile.html - here is the description of how to build a cd file

Here is an example with cd file https://github.com/catboost/tutorials/blob/master/cmdline_tutorial/cmdline_tutorial.md

Here is tutorial with amazon
https://github.com/catboost/tutorials/blob/master/classification/classification_tutorial.ipynb

from benchmarks.

annaveronika avatar annaveronika commented on May 18, 2024

Description of columns is in the docs, you can read it and build a cd according to this description.
Also you can look into our tutorials, there are examples of using amazon dataset. I think there also is an example of building cd file for amazon. It might be in classification tutorial, so please check the tutorials repo.

from benchmarks.

iyliamjd avatar iyliamjd commented on May 18, 2024

from benchmarks.

iyliamjd avatar iyliamjd commented on May 18, 2024

https://catboost.ai/docs/concepts/python-reference_datasets_amazon.html - here's the description of what is in amazon dataset columns

https://catboost.ai/docs/concepts/input-data_column-descfile.html - here is the description of how to build a cd file

Here is an example with cd file https://github.com/catboost/tutorials/blob/master/cmdline_tutorial/cmdline_tutorial.md

Here is tutorial with amazon
https://github.com/catboost/tutorials/blob/master/classification/classification_tutorial.ipynb

Thank you so much you are very helpful :D

from benchmarks.

annaveronika avatar annaveronika commented on May 18, 2024

Hi is it necessary to run in docker only? Because i keep get error when run in docker using the links provided

On Tue, Nov 26, 2019, 4:05 PM annaveronika @.***> wrote: Description of columns is in the docs, you can read it and build a cd according to this description. Also you can look into our tutorials, there are examples of using amazon dataset. I think there also is an example of building cd file for amazon. It might be in classification tutorial, so please check the tutorials repo. — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub <#12?email_source=notifications&email_token=AL6XJZMQN5LJAKG2N6AG6O3QVTKETA5CNFSM4JRR6ZN2YY3PNVWWK3TUL52HS4DFVREXG43VMVBW63LNMVXHJKTDN5WW2ZLOORPWSZGOEFFDAMA#issuecomment-558510128>, or unsubscribe https://github.com/notifications/unsubscribe-auth/AL6XJZNWJWJM47CY7FDBOTTQVTKETANCNFSM4JRR6ZNQ .

I'm not sure, it depends on what exactly you're trying to do. The docker in the repo has all the versions of the libraries that have been used for the comparison. If you want to run the same, you need the docker.

from benchmarks.

iyliamjd avatar iyliamjd commented on May 18, 2024

from benchmarks.

Related Issues (11)

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.