YellowbrickYellowbrick
Development & TrainingWhat 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 Development & Training category of a tech stack.
Key Features
Evaluate the stability and predictive value of machine learning models and improve the speed of the experimental workflowProvide visual tools for monitoring model performance in real-world applicationsProvide visual interpretation of the behavior of the model in high dimensional feature space.
Yellowbrick Pros & Cons
Pros of Yellowbrick
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Yellowbrick Alternatives & Comparisons
What are some alternatives to Yellowbrick?
TensorFlow
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.
NumPy
Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases.
Jupyter
The Jupyter Notebook is a web-based interactive computing platform. The notebook combines live code, equations, narrative text, visualizations, interactive dashboards and other media.
