Metadata-Version: 1.1
Name: Orange3-Timeseries
Version: 0.3.2
Summary: Orange3 add-on for exploring time series and sequential data.
Home-page: https://github.com/biolab/orange3-timeseries
Author: Bioinformatics Laboratory, FRI UL
Author-email: info@biolab.si
License: CC-BY-NC-3.0
Description-Content-Type: UNKNOWN
Description: Orange3-Timeseries
        ==================
        
        Orange add-on for analyzing, visualizing, manipulating, and forecasting time
        series data.
        
        **License: CC-BY-NC-3.0**
        
        In order to use this package commercially, please obtain a [Highcharts] license.
        
        [Highcharts]: http://www.highcharts.com/
        
        Package documentation: http://orange3-timeseries.readthedocs.io/
        
        Installing
        ----------
        
        ### With Anaconda
        
        The easiest way to install Orange3-Timeseries on a non-GNU/Linux system is
        with [Anaconda] distribution for your OS (Python version 3.5).
        In your Anaconda Prompt, first add conda-forge to your channels:
        
            conda config --add channels conda-forge
        
        Then install Orange3:
        
            conda install orange3
        
        This will install the latest release of Orange. Then install Orange3-Timeseries:
          
            pip install Orange3-Timeseries
        
        Run:
        
            orange-canvas
        
        to open Orange and check if everything is installed properly.
        
        
        [Anaconda]: https://www.continuum.io/downloads
        
        ### From source
        
        To install the add-on from source
        
            # Clone the repository and move into it
            git clone https://github.com/biolab/orange3-timeseries.git
            cd orange3-timeseries
        
            # Install corresponding wheels for your OS:
            pip install some-wheel.whl
        
            # Install Orange3-Timeseries in editable/development mode.
            pip install -e .
        
         - [numpy+mkl](http://www.lfd.uci.edu/~gohlke/pythonlibs/#numpy)
         - [scipy](http://www.lfd.uci.edu/~gohlke/pythonlibs/#scipy)
         - [statsmodels](http://www.lfd.uci.edu/~gohlke/pythonlibs/#statsmodels)
        
        To register this add-on with Orange, run
        
            python setup.py install
        
Keywords: time series,sequence analysis,orange3 add-on,ARIMA,VAR model,forecast
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: X11 Applications :: Qt
Classifier: Environment :: Plugins
Classifier: Programming Language :: Python
Classifier: License :: Other/Proprietary License
Classifier: Operating System :: OS Independent
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Visualization
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
