Metadata-Version: 1.1
Name: PSF_Py
Version: 0.2
Summary: PSF_Py: Pattern Sequence-based Forecasting (PSF_Py) algorithm
Home-page: https://github.com/Mayur1009/PSF_py
Author: Mayur Shende, Neeraj Bokde
Author-email: mayur.k.shende@gmail.com, neerajdhanraj@gmail.com
License: GPL
Description: # PSF
        Package: PSF
        
        Title: Forecasting of univariate time series using the Pattern Sequence-based Forecasting (PSF) algorithm
        
        Version: 0.1
        
        Date: 9/4/2019
        
        Author: Mayur Shende, Neeraj Bokde
        
        Maintainer: Mayur Shende <mayur.k.shende@gmail.com>, Neeraj Bokde <neerajdhanraj@gmail.com>
        
        Description: Pattern Sequence Based Forecasting (PSF) takes univariate
            time series data as input and assist to forecast its future values.
            This algorithm forecasts the behavior of time series
            based on similarity of pattern sequences. Initially, clustering is done with the
            labeling of samples from database. The labels associated with samples are then
            used for forecasting the future behaviour of time series data.
        
        License: GPL (>= 2)
        
        Imports: pandas, numpy, sklearn, matplotlib, warnings, re
        
        Packaged: 2019-04-13 17:15:59 UTC
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
