scikit-learn / communication

Issues and content related to communicating about scikit-learn

Communication Team

The scikit-learn Communication Team helps with outreach and communication for scikit-learn.

Request to Share Content

Please add requests for sharing content on scikit-learn social media to the Issues section. Please add a The Communications Team will review and schedule content accordingly.

Examples of content we can share:

• New features
• Significant pull requests that have been merged
• Contributor updates
  • Conference talks
  • Webinars
  • Blogs
  • Awards

Request for Social Media Card Design

Please add request for Social Media cards and GIFs to the Issues section. Tag these requests with "Design".

communication's Issues

reconnect FB account to Buffer

@laurburke

announce Meekail on social media

announced on the public mailing list: https://mail.python.org/pipermail/scikit-learn/2022-September/004295.html

2022-09-19:

The core developers for Scikit-learn have recently voted to welcome Meekail
Zain to the team, recognizing Zain's efforts and trustworthiness as a
contributor. Congratulations, and thank you!

Creating a Mastodon account

Given the recent news and the philosophy of Mastodon. We discussed the possibility of creating a Mastodon account for scikit-learn with @ogrisel. What do you think about it?

Performance improvements in tree based models

scikit-learn/scikit-learn#22868 and it's enabling PR scikit-learn/scikit-learn#22760 could be worth a post.

Update social media header and logo pictures

I noticed that for instance the scikit-learn logo of our twitter account is not the right one.
Also, we may want to change the cover banner of this account.

Branding Guidelines

How to communicate about scikit-learn.

Will include information on:

• Logos
• Brand colors
• Background info
• How/when you can use the scikit-learn brand

Contributor and Team Member Feature Series

While our audience is familiar with the scikit-learn package, it'd be great to help them put faces to the names of those who make it all possible!

I'll be creating a short survey and a fun Gif template for us to promote on social. Participation is optional, but encouraged for well-deserved recognition!

share swag store on social media

scikit-learn swag options are up, added by NumFOCUS:
https://numfocus.myspreadshop.com/all

https://numfocus.myspreadshop.com/scikit-learn+logo?idea=6335cad48f3f5268f5f42559

Share on social media: blog on "The Value of Open Source Sprints, the scikit-learn Experience"

Share sprints blog on social media:
https://blog.scikit-learn.org/events/sprints-value/

Highlight PR #20408 from LATAM (June 2021) sprint

scikit-learn/scikit-learn#20408

Social Media Assets/Templates

A series of images/gifs we can use to create a cohesive social representation of the scikit-learn brand.

Claim FB page

Perhaps we are in a place now where we can "claim" the old FB page and merge the followers from old page into ours?

Current FB page (owned by scikit-learn):
https://www.facebook.com/scikitlearnofficial

Older FB page: 871 followers
https://www.facebook.com/ScikitLearn

Resource: claim FB page
https://www.reviewtrackers.com/blog/claim-facebook-business-page/

cc: @laurburke

1.1 Release

For information, Thomas started to draft some release highlights for 1.1 in scikit-learn/scikit-learn#23084.

Here is the HTML rendering of the current state of the PR : https://output.circle-artifacts.com/output/job/d83a2974-e9d4-479b-814d-46bb0fa99489/artifacts/0/doc/auto_examples/release_highlights/plot_release_highlights_1_1_0.html

Create Twitter list (core devs + Triage Team + Comms Team)

@laurburke

Announce blog post about Hugging Face and scikit-learn

I am biased because I am a co-author but it would be nice that scikit-learn relays this scikit-learn blog post: https://blog.scikit-learn.org/updates/community/joining-forces-hugging-face/

and the Hugging Face social media posts:
https://twitter.com/huggingface/status/1582029499775930370
https://www.linkedin.com/feed/update/urn:li:activity:6987796152913911808/

Cheers

Performance improvements in linear models

The PRs scikit-learn/scikit-learn#21808, scikit-learn/scikit-learn#22548 and, source of the inmprovements, scikit-learn/scikit-learn#20567 could be worth a short post.

No test scores when using Pipeline in GridSearchCV

mix_params = {
    'onehot__max_categories': [3, 6, 9, 12],
    'rf__n_estimators': [10, 20],
    'rf__max_depth': [2, 5],
    'rf__min_samples_split': [2, 5],
    'rf__min_samples_leaf': [2, 5],
    'rf__max_features': ['auto', 'sqrt', 'log2', None],
    'rf__bootstrap': [True, False]
}

pipe = Pipeline([
    ('onehot', OneHotEncoder(sparse_output=False)),
    ('rf', RandomForestClassifier(random_state=42))
])

model = GridSearchCV(pipe,
                     param_grid=mix_params,
                     scoring=['roc_auc', 'accuracy', 'recall', 'precision'],  
                     refit='accuracy',
                     return_train_score=True,
                     cv=5, n_jobs=1)

model.fit(X, y)

model.cv_results_['mean_test_accuracy']

In this case, a Pipeline is used in GridSearchCV. but model.best_score_ and model.best_index_ are nan and 0, which means all testing scores are NaN, is anyone know how is this happening and how to fix?

social media post request: "Contributor Diversity and Retention" (CDR)

Ref

See Arliss email dated 2022-02-11 with subject "[CDR] Outreach for Interview Participants"

Request

Could you please reach out to your contributor community to ask if anyone is interested in participating in an interview. Here is the “Participant Interest” form to capture people’s contact information.

I’ve attached a couple of documents to help you with this …

Sample text that you can either copy and paste directly or adapt to best suit your contributor audience.
A copy of the questions that are included in the “Participant Interest” form.

Feel free to use our text or craft something of your own, and include the form link**

New feature: Quantile HGBT

I think scikit-learn/scikit-learn#21800 is worth mentioning. scikit-learn/scikit-learn#20567 was the enabler PR for it.

PyConDE & PyData Berlin 2022

I am going to make a tutorial at the upcoming PyData Berlin: https://2022.pycon.de/program/9LZTRR/

I can provide any further information if required (I still need to prepare the talk thought :))

50,000 github stars soon

We will soon reach 50,000 github stars. It would be nice to communicate around that.

International Days and Weeks 2022

Here is a list of international days and weeks that can be good opportunities to convey related and specific messages to a broader audience using dedicated #.

The structure of this issue is:
Month

• Date - Name of the Day - Ideas for a communication

April

• 20th of April - Chinese Language Day - Pointing to the Chinese version of scikit-learn?
• 21st of April - World Creativity and Innovation Day
• 26th of April - World Intellectual Property Day - Good opportunity to mention Open Science/Innovation/Source (challenging communication)
• 28th of April - International Girls in ICT Day - Point to initiatives such as WiMLDS, to our spint with WiMLDS Paris sprint and video.

May

• 17th of May - World Telecommunication and Information Society Day -
• 20th of May - World Bee Day - Mention Artificial Bee Colony algorithms and Swarm Intelligence, check if any related implementation or work in scikit-learn

June

• 5th of June - World Environment Day - Point to projects solving environmental problems using scikit-learn could be one idea.
• 8th of June - World Oceans Day - Mention Seaborn and scikit-learn?
• 30th of June - International Asteroid Day - there are some existing related work around asteroid classification

October

• 2nd of October - World Statistics Day
• 4-10th of October - World Space Week - Arturo has a notebook about stars classification using scikit-learn

November

• 5th of November - World Tsunami Awareness Day - Mention some work around tsunami prediction/forecasting.
• 10th of November - World Science Day for Peace and Development
• 14th of November - World Diabetes Day - Mention some work using the diabetes dataset.

December

• 1st of December - World AIDS Day

Twitter verified account

Ask Twitter if the scikit-learn account can be a verified one

Social Media: requests to share postings

Here, please include what you would like to share. If you have suggested text, feel free to include as well.

Example

• share some of Julien's blog posts:
  • Pairwise Distances Reductions
• share video presentation by: xxx
• xxx

cc: @laurburke

YouTube: custom URL

Now that we have 100+ subscribers on YouTube, we can set up a custom URL:
https://www.youtube.com/channel/UCJosFjYm0ZYVUARxuOZqnnw

cc: @laurburke

Update the wikipedia pages of scikit-learn

We could probably improve the scikit-learn wikipedia pages in terms of update and structure/content.

Why?

• I reckon it is a very important place for people don't knowing much about scikit-learn and I am sure we can do better
• I believe we could also better emphasize on the packaging and maintenance efforts.
• We could talk more about the community and its governance, give some key figure...

Action: Having in mind the different persona of readers, I think we could also come up with a new plan and structure with high to low level of information granularity.

Hitting a record - sklearn march summary

@jeremiedbb noticed that we will hit a record of both opened and closed PRs in March (source)
We still need to wait for the very end figures but would be nice to schedule posts about this outstanding march summary.

Create LI user as "scikit-learn Community Manager"

Example:
https://www.linkedin.com/in/data-umbrella-b7a64a1b1/

Good practice to connect Buffer account with an admin LI account, rather than a personal LI account.

cc: @laurburke

Promote Reshama's keynote at PyData Berlin

https://2022.pycon.de/blog/keynote-2-reshama-shaikh

/

Announce Community Office Hours

For twitter:

Next Office Hour this Monday!
The focus of this session is to answer questions about contributing to scikit-learn.
When: 10:00 PT / 13:00 ET / 18:00 UTC / 19:00 CET
Where: https://buff.ly/3sTK2vD
Calendar: https://buff.ly/3yXGMmK

• 30th of May
• 13th of June
• 27th of June

Improve the place-holder page at the ".com" domain

I have added a very pretty basic page to give a warning for people visiting our ".com" domain, rather than the ".org" domain (purposely not linking here, to avoid increasing the page rank of this page):
https://github.com/scikit-learn/scikit-learn.com

I used a very basic and empty hugo theme. My gut feeling is that we want very little here because we do not want people to link here. For this reason, I did not do a redirect in any way.

The number one purpose of owning this domain name is to avoid typosquatting on it.

I think that the comm's team should have a quick look to decide whether my work is good enough (in which case: close this issue), or whether it should be improved (in which case: work on the corresponding repo)

celebration post: 10K LinkedIn followers soon

As of now, we have 8000+ followers on LinkedIn:
https://www.linkedin.com/company/scikit-learn/

It would be nice to do a celebratory post when we hit 10 000 followers

cc: @francoisgoupil @laurburke

Talk to PyLadies Paris meetup

I recently made a speech at the PyLadies meetup.

There is a live video there: https://www.youtube.com/watch?v=GfkSvUug7js&ab_channel=PyladiesParis
The link to the slides is the following: https://docs.google.com/presentation/d/14N8f3wGDG25Yz6mBXDvpsnbzTII_RYR7WsFEXh10H94/edit?usp=sharing

Feel free to share it (or close the issue) if you think it worth sharing.

All contribution recognition

In the flavor of SLEP 19 aiming to recognize different types of contribution beyond code, @jjerphan and I suggest we add an allcontributors bot section to the readme or maybe elsewhere not to overload the scikit-learn readme.

A running example of this is the readme of Array API

What are your thoughts about this?

add Chiara's Paris PyLadies video talk to playlist

https://youtu.be/uXE1Wc6blDA

social media post request: Julien's performance blogs

https://blog.scikit-learn.org/performance/performances/

cc: @laurburke @jjerphan @francoisgoupil

Promote series of tutorials on text analytics

For twitter:

Did you know you can do NLP with scikit-learn? Learn the basics of text vectorizers with this mini tutorial (1/3)

https://scikit-learn.org/dev/auto_examples/text/plot_hashing_vs_dict_vectorizer.html

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Learn the basics on classification of text documents with this mini tutorial (2/3)

https://scikit-learn.org/dev/auto_examples/text/plot_document_classification_20newsgroups.html

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Learn the basics of text documents clustering with this mini tutorial (3/3)

https://scikit-learn.org/dev/auto_examples/text/plot_document_clustering.html