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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