Skip to content
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.

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

Update ecomm-recys.md #521

Merged
merged 1 commit into from
Oct 29, 2024
Merged
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
4 changes: 1 addition & 3 deletions docs/articles/ecomm-recys.md
Original file line number Diff line number Diff line change
Expand Up @@ -47,8 +47,6 @@ We can set up our Spaces to take account of this data, so that our RecSys works

First, we need to install the Superlinked library and import the classes.

(Note: Omit `alt.renderers.enable(“mimetype”)` if you’re running this in [google colab](https://colab.research.google.com/github/superlinked/superlinked/blob/main/notebook/recommendations_e_commerce.ipynb). Keep it if you’re executing in [github](https://github.com/superlinked/VectorHub/blob/main/docs/articles/ecomm-recys.md).)

```python
%pip install superlinked==6.0.0

Expand Down Expand Up @@ -78,7 +76,7 @@ from superlinked.framework.dsl.space.text_similarity_space import TextSimilarity
from superlinked.framework.dsl.space.number_space import NumberSpace


alt.renderers.enable("mimetype") # NOTE: to render altair plots in colab, comment this line out
alt.renderers.enable(get_altair_renderer())
pd.set_option("display.max_colwidth", 190)
```

Expand Down