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A pipeline library for testing and validating time series data

Project description

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.

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Files for pypelearn, version 0.0.20
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