Metadata-Version: 2.1
Name: MLVisualizationTools
Version: 0.0.22
Summary: A set of functions and demos to make machine learning projects easier to understand through effective visualizations.
Home-page: https://github.com/RobertJN64/MLVisualizationTools
Author: Robert Nies
Author-email: robertjnies@gamil.com
License: MIT
Platform: UNKNOWN
Description-Content-Type: text/markdown
Provides-Extra: dash
Provides-Extra: dash-notebook
License-File: LICENSE

# 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.

