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.
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
pypelearn-0.0.20.tar.gz
(9.8 kB
view hashes)
Built Distribution
pypelearn-0.0.20-py3-none-any.whl
(11.3 kB
view hashes)
Close
Hashes for pypelearn-0.0.20-py3-none-any.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | d9d9a69ee96e20bdbd2e5fe9bdfe65ac53bcc6027efcaa21415212d61ac19bc2 |
|
| MD5 | bfcaa85f7f5b6fd3d318b7555eeb1f29 |
|
| BLAKE2b-256 | b1bb3888bb0dd1c58ccf837ee43c8dc87765ffc328a9d0148cad50d37e61454e |
