Python GUI for annotating and processing time series data.
Project description
MaD GUI
Machine Learning and Data Analytics Graphical User Interface
What is it?
The MaD GUI is a framework for processing time series data. Its use-cases include visualization, annotation (manual or automated), and algorithmic processing of visualized data and annotations. More information:
Using our example
In a python 3.8 environment, execute the following commands or use the section Development installation:
pip install mad_gui
mad-gui
This is just to get a first feeling of how the GUI looks like, you can test with our example data: You can download our example data to test our built-in exemplary importer, exemplary algorithms and exemplary label. To see how to open our example data within the GUI, please refer to our section about the User Interface.
Using your data / algorithms
Very short, you will create and inject plugins, similar to this:
from mad_gui import start_gui
from my_plugin_package imoprt MyAlgorithm
start_gui(plugins=MyAlgorithm)
For more information on how to create your plugins, refer to our readme or our more extensive documentation.
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