What is Manifold?
Understanding ML model performance and behavior is a non-trivial process, given the intrisic opacity of ML algorithms. Performance summary statistics such as AUC, RMSE, and others are not instructive enough for identifying what went wrong with a model or how to improve it. As a visual analytics tool, Manifold allows ML practitioners to look beyond overall summary metrics to detect which subset of data a model is inaccurately predicting.
Manifold is a tool in the Machine Learning Tools category of a tech stack.
Manifold is an open source tool with 1.2K GitHub stars and 91 GitHub forks. Here’s a link to Manifold's open source repository on GitHub
Pros of Manifold
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- Performance Comparison View
- Feature Attribution View
- Histogram / heatmap
- Segment groups
- Geo Feature View
Manifold Alternatives & Comparisons
What are some alternatives to Manifold?
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