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PSF_Py: Pattern Sequence-based Forecasting (PSF_Py) algorithm

Project 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

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