Machine learning results are often difficult to understand and draw insight from. While building a general machine learning pipeline, we design a user interface to help users of the system follow the machine learning process. This interface allows users to monitor the status of pipeline jobs as well as interactively explore results by inspecting individual samples and visualizing the impact of each feature that contributes to a sample's final classification.
Title
Building a User Interface for a Temporal Machine Learning System
Published
2015-05-27
Full Collection Name
Electrical Engineering & Computer Sciences Technical Reports
Other Identifiers
EECS-2015-156
Type
Text
Extent
25 p
Archive
The Engineering Library
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