Comments (6)
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
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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.
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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
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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.
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Related Issues (11)
- Broken link HOT 2
- Bug in experiments.py HOT 2
- 'data' is numpy array of floating point numerical type, it means no categorical features, but 'cat_features' parameter specifies nonzero number of categorical features HOT 1
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- Catbosst with categorical features failed to work with SKlearn CalibratedCV
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