Metadata-Version: 2.1
Name: behalearn
Version: 2.0.3
Summary: A set of python modules for behavioral data analysis
Home-page: https://gitlab.com/tp-fastar/ml-module
Author: Fastar
Author-email: tp2018tim4@gmail.com
License: UNKNOWN
Description: # Machine learning module
        Main goal of this application is to prepare data for subsequent 
        authentication. This module provides functionality for preprocessing data, 
        authentication and visualization. 
        
        Preprocessing part of functionality compute speed related columns, splits data 
        into multiple movement segments and compute their length. 
        
        Visualization part provides functionality to display FAR, FRR metrics 
        and ROC, DET curves.
        
        This project is part of [Behametrics-learn](http://labss2.fiit.stuba.sk/TeamProject/2018/team04iss-it/) team project 
        at [Faculty of Informatics and Information Technologies STU in Bratislava](Faculty of Informatics and Information Technologies STU in Bratislava)
        
        # Installation
        The source code is currently hosted on [GitLab](https://gitlab.com/tp-fastar/ML-module).
        
        The easiest way to install behalearn is using ``pip`` :
        ```
        pip install behalearn
        ```
        
        ## Usage
        After installation you can easily use module as any other python package, for 
        example:
        ```
        from behalearn.features import features_for_segment
        ```
        
        # Documentation
        The official documentation and structure of the module is available on 
        [following link](https://tp-fastar.gitlab.io/ML-module/).
        
        # License
        Source code is provided under [**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
