Metadata-Version: 2.1
Name: pypelearn
Version: 0.0.20
Summary: A pipeline library for testing and validating time series data
Home-page: https://github.com/alexharston/pypelearn
Author: Alex Harston
Author-email: alex@harston.io
License: MIT
Keywords: pypelearn machine learning time series pipeline
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3
Description-Content-Type: text/markdown
Requires-Dist: statsmodels
Requires-Dist: argparse
Requires-Dist: pandas
Requires-Dist: matplotlib
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: sklearn
Requires-Dist: tensorflow

# pypelearn

### A pipeline for testing and validation of synthetic machine learning data

pypelearn is a Python framework for handling and processing high-dimensional time series data.

For full documentation, please visit https://harston.io/pypelearn

pypelearn utilises numpy, pandas, matplotlib, and statsmodels to allow linear and nonlinear modelling of high-dimensional time series tensors. 



