Hover Example Apps
(works out-of-the-box on Binder)
This repository demonstrates the usage of hover to understand and supervise a machine learning task.
Simple Annotator 
- use the lasso/tap/poly tool to select data points
- assign your labels and hit “Apply”
- in a real use case on your computer, “Export” will save a DataFrame
- take advantage of the text/regex search box
Linked Annotator
- on top of the
Simple Annotator, showes another plot which is focused on search - the search boxes are independent across plots, minimizing interference in between
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the selections in the plots are synchronized. You can select in one and label in the other!
Active Learning
- compared with the
Linked Annotator, replaces the left plot with the predictions of a model in the loop -
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inspect data points based on their prediction confidence and locations!
Snorkel Annotator
- compared with the
Linked Annotator, replaces the left plot with Snorkel labeling function outputs - in a real use case, you can check the labeling functions and your annotations against each other.
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one could also exploit labeling functions as sophisticated “filters” to help find interesting data points!
