Skip to content

Completes UNB-2346 - Update Python API reference #31

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 5 commits into from
Jul 25, 2022
Merged

Completes UNB-2346 - Update Python API reference #31

Changes from 1 commit
Commits
Show all changes
5 commits
Select commit Hold shift + click to select a range
48797f0
Completes UNB-2346 - Update Python API reference
gustavocidornelas Jul 18, 2022
bf7845d
Fix typo
gustavocidornelas Jul 18, 2022
5a1a316
Re-wording on the API reference
gustavocidornelas Jul 25, 2022
4daa5f0
Removed tokenizer from tabular data example
gustavocidornelas Jul 25, 2022
d96ef8e
Small re-wordings
gustavocidornelas Jul 25, 2022
File filter

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
Prev Previous commit
Next Next commit
Removed tokenizer from tabular data example
  • Loading branch information
@gustavocidornelas
gustavocidornelas committed Jul 25, 2022
commit 4daa5f03e81fedbe9b910518b3cff08b08613b2f
2 changes: 1 addition & 1 deletion unboxapi/__init__.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -327,7 +327,7 @@ def add_model(
The ``model`` arg must be the actual trained model object, and the ``input_features`` arg must be a 2D numpy array
containing a batch of features that will be passed to the model as inputs.

You can optionally include other kwargs in the function, including tokenizers, variables, encoders etc.
Copy link
Contributor

@whoseoyster whoseoyster Jul 25, 2022

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

curious why you removed tokenizers?
Copy link
Contributor Author

@gustavocidornelas gustavocidornelas Jul 25, 2022

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Oh, just because this is inside the example for tabular classification. I kept it for the example for NLP.

I'm trying to think now of uses of a tokenizer on a tabular task type... I think it would be a bit unusual, but I guess it can exist. I'll add it back just in case
Copy link
Contributor

@whoseoyster whoseoyster Jul 25, 2022

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Oh no, you're right. Keep it removed for tabular :)
Copy link
Contributor Author

@gustavocidornelas gustavocidornelas Jul 25, 2022

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Ok!
You can optionally include other kwargs in the function, including variables, encoders etc.
You simply pass those kwargs to the ``project.add_model`` function call when you upload the model.

Here's an example of the ``predict_proba`` function in action:
Expand Down