Metadata-Version: 2.1
Name: behalearn
Version: 3.0.1
Summary: Library for processing and visualizing behavioral biometric data
Home-page: https://gitlab.com/behametrics/behalearn
Author: Behametrics
Author-email: tp2018tim4@gmail.com
License: UNKNOWN
Description: # behalearn
        
        behalearn is a library that simplifies data preparation and feature extraction for behavioral biometric data
        (such as mouse movements, touch movements, accelerometer data).
        Such data may be subsequently used for e.g. implicit user authenticaton.
        
        behalearn also provides a handful of simple, interactive visualizations of raw data, pre-processed data
        and reports of prediction results (such as the [DET curve](https://en.wikipedia.org/wiki/Detection_error_tradeoff)).
        
        # Installation
        The source code is currently hosted on [GitLab](https://gitlab.com/behametrics/behalearn).
        
        The easiest way to install behalearn is via `pip`:
        ```
        pip install behalearn
        ```
        
        # Usage
        Simply import individual behalearn modules or their functions/classes, for example:
        ```
        from behalearn.features import FeatureExtractor
        ```
        
        The [DEMO.ipynb](https://gitlab.com/behametrics/behalearn/-/blob/master/DEMO.ipynb) file shows examples of basic behalearn usage.
        
        # Documentation
        The official documentation and structure of the library is available [here](https://behametrics.gitlab.io/behalearn/).
        
        # License
        Source code is provided under the [MIT License](LICENSE).
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS
Description-Content-Type: text/markdown
