HAhappy-go-lucky·Oct 8, 2017Submission
Visualizations for machine learning datasets
178 points · Open discussionPAIR-code
facets
Jupyter Notebook2017–2017
PAIR-code / facets · Archived
facets
Visualizations for machine learning datasets
3Distinct people
3Mentions
0Explicit recommenders
7.3KGitHub stars
What to know before exploring
What it is
Visualizations for machine learning datasets
GitHub
Where it is used
No documented product use has been verified yet.
What people are saying
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Also in these discussions
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This week on Hacker News
Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 11:56:56 AM UTC.
No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.
Mentions over time
HN mentions by week3 dated mentions
Observed mentions: 2017-07-17 22:56:31 UTC to 2017-10-08 11:44:11 UTC. Weeks start Monday, UTC.
Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.
View mention counts and date ranges
| Period | Start (UTC) | End (exclusive, UTC) | Mentions | Submissions | Comments |
|---|---|---|---|---|---|
| Jul 17 | 2017-07-17 00:00:00 UTC | 2017-07-24 00:00:00 UTC | 2 | 0 | 2 |
| Jul 24 | 2017-07-24 00:00:00 UTC | 2017-07-31 00:00:00 UTC | 0 | 0 | 0 |
| Jul 31 | 2017-07-31 00:00:00 UTC | 2017-08-07 00:00:00 UTC | 0 | 0 | 0 |
| Aug 7 | 2017-08-07 00:00:00 UTC | 2017-08-14 00:00:00 UTC | 0 | 0 | 0 |
| Aug 14 | 2017-08-14 00:00:00 UTC | 2017-08-21 00:00:00 UTC | 0 | 0 | 0 |
| Aug 21 | 2017-08-21 00:00:00 UTC | 2017-08-28 00:00:00 UTC | 0 | 0 | 0 |
| Aug 28 | 2017-08-28 00:00:00 UTC | 2017-09-04 00:00:00 UTC | 0 | 0 | 0 |
| Sep 4 | 2017-09-04 00:00:00 UTC | 2017-09-11 00:00:00 UTC | 0 | 0 | 0 |
| Sep 11 | 2017-09-11 00:00:00 UTC | 2017-09-18 00:00:00 UTC | 0 | 0 | 0 |
| Sep 18 | 2017-09-18 00:00:00 UTC | 2017-09-25 00:00:00 UTC | 0 | 0 | 0 |
| Sep 25 | 2017-09-25 00:00:00 UTC | 2017-10-02 00:00:00 UTC | 0 | 0 | 0 |
| Oct 2 | 2017-10-02 00:00:00 UTC | 2017-10-09 00:00:00 UTC | 1 | 1 | 0 |
What Hacker News says
3 sourcesHere's how to use Facets Dive inside Jupyter Notebook.
1. Download and install as explained in "Enabling Usage in Jupyter Notebooks" at https://github.com/pair-code/facets
2. Open a new notebook and copy&paste code from here: https://github.com/PAIR-code/facets/blob/master/facets_dive/...
In Facets: An Open Source Visualization Tool for Machine Learning Training DataVery impressed to see the confusion matrix consist of the actual images in that deep zoom style rendering. We've implemented something similar in spirit in some image processing machine learning application but instead I have a traditional confusion matrix with counts that are "<a>" anchor links to a webpage that displays all the constituent images. Nice work Facets team.
I particularly like this language here...
"Dive is a tool for interactively exploring up to tens of thousands of multidimensional data points, allowing users to seamlessly switch between a high-level overview and low-level details. ...Dive makes it easy to spot patterns and outliers in complex data sets."
https://github.com/pair-code/facets#facets-dive
That's key functionality to drill into our data with powerful navigable dashboards and visualization tools. We're creati
Read the rest
ng this seamless transition with some Python and Flask and Bokeh tooling but nothing as impressive is Facets. But we've cued in all the domain specific things of interest, but it's nice to see a general purpose feature set on display with Facets.