ScalaNLP vs Yellowbrick

ScalaNLP vs Yellowbrick: What are the differences?

ScalaNLP: A suite of machine learning and numerical computing libraries. ScalaNLP is a suite of machine learning and numerical computing libraries; Yellowbrick: Visual analysis and diagnostic tools to facilitate machine learning model selection. 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.

ScalaNLP and Yellowbrick can be categorized as "Machine Learning" tools.

Some of the features offered by ScalaNLP are:

• ScalaNLP is the umbrella project for several libraries:
• Breeze is a set of libraries for machine learning and numerical computing
• Epic is a high-performance statistical parser and structured prediction library

On the other hand, Yellowbrick provides the following key features:

• 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.

ScalaNLP is an open source tool with 3.09K GitHub stars and 685 GitHub forks. Here's a link to ScalaNLP's open source repository on GitHub.