A set of functions and demos to make machine learning projects easier to understand through effective visualizations.
Project description
MLVisualizationTools
MLVisualizationTools is a python library to make machine learning more understandable through the use of effective visualizations.
It supports tensorflow, matplotlib, and plotly, with support for more ml libraries coming soon.
You can use the builtin apps to quickly anaylyze your existing models, or build custom projects using the modular sets of functions.
Installation
pip install MLVisualizationTools
Depending on your use case, tensorflow, plotly and matplotlib might need to be installed.
pip install tensorflow
pip install plotly
pip install matplotlib
To use interactive webapps, use the pip install MLVisualizationTools[dash] or pip install MLVisualizationTools[dash-notebook]
flags on install.
Functions
More function docs coming soon, see examples for examples. Functions have docstrings which explain params and whatnot.
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