Home BlogData Visualization Discovering Patterns in High-Dimensional Data

Discovering Patterns in High-Dimensional Data

by Michael McLaughlin
Multiple axes plotting relationships side by side.

Facebook has released HiPlot, a data visualization tool that can help researchers discover correlations and patterns in high-dimensional data. Machine learning models can have dozens of hyperparameters, such as the model’s learning rate, as well as thousands of data points and parameters, such as the height, weight, and heart rate of an individual. HiPlot helps researchers understand the influence of hyperparameters in complex models by plotting relationships on parallel axes. 

Take a look.

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