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

feat(embeddings): single dataset timeseries graph and selection #457

Merged
merged 2 commits into from
Mar 28, 2023

Conversation

mikeldking
Copy link
Contributor

@mikeldking mikeldking commented Mar 28, 2023

resolves #439

This PR adds a timeseries graph for count when there's only one dataset. This allows the user to analyze the point-cloud at different points in time based on the count (volume) of the embeddings in a timeseres.

This maintains the same interaction paradigm as the drift analysis. This is to unblock timeseres based analysis and to see how this resonates with testers.

Also adds highlight cluster on hover so you don't have to click into clusters to view them.

Screenshot 2023-03-28 at 12 23 32 PM

- refactor: move timeseriesUtils into its own files - feat(embeddings): single dataset timeseries analysis

@mikeldking mikeldking changed the title 439 single dataset feat(embeddings): single dataset timeseries graph and selection Mar 28, 2023
@mikeldking mikeldking merged commit 6acb720 into main Mar 28, 2023
@mikeldking mikeldking deleted the 439-single-dataset branch March 28, 2023 21:32
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
Archived in project
Development

Successfully merging this pull request may close these issues.

[Embeddings] Single-dataset timeseries of count
2 participants