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 1.7K GitHub stars and 118 GitHub forks. Here’s a link to Manifold's open source repository on GitHub
Who uses Manifold?
Manifold's Features
- Performance Comparison View
- Feature Attribution View
- Histogram / heatmap
- Segment groups
- Ranking
- Geo Feature View
Manifold Alternatives & Comparisons
What are some alternatives to Manifold?
Postman
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Postman
It is the only complete API development environment, used by nearly five million developers and more than 100,000 companies worldwide.
Stack Overflow
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Google Maps
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Elasticsearch
Elasticsearch is a distributed, RESTful search and analytics engine capable of storing data and searching it in near real time. Elasticsearch, Kibana, Beats and Logstash are the Elastic Stack (sometimes called the ELK Stack).