What is Yellowbrick?
It is a suite of visual diagnostic tools called "Visualizers" that extend the scikit-learn API to allow human steering of the model selection process. In a nutshell, it combines scikit-learn with matplotlib in the best tradition of the scikit-learn documentation, but to produce visualizations for your machine learning workflow.
Yellowbrick is a tool in the Machine Learning Tools category of a tech stack.
Yellowbrick is an open source tool with 3.3K GitHub stars and 492 GitHub forks. Here’s a link to Yellowbrick's open source repository on GitHub
Who uses Yellowbrick?
- Evaluate the stability and predictive value of machine learning models and improve the speed of the experimental workflow
- Provide visual tools for monitoring model performance in real-world applications
- Provide visual interpretation of the behavior of the model in high dimensional feature space.
Yellowbrick Alternatives & Comparisons
What are some alternatives to Yellowbrick?
See all alternatives
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TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
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