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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| Filename, size PSF_Py-0.2.tar.gz (5.0 kB) | File type Source | Python version None | Upload date | Hashes View hashes |
