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.
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
pypelearn-0.0.14.tar.gz
(1.1 kB
view hashes)
Built Distribution
Close
Hashes for pypelearn-0.0.14-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 26f7b8190a8f2eafb64227a646edf862bc73cad3b07d26a29acf5ebdd517e51f |
|
MD5 | ce7752d969b0cddb1809da4ebf1748f0 |
|
BLAKE2b-256 | 23aceba65d9d78dbc49fa8bee63f1e3159d0d734f24bff9aef80eab0e729f3d7 |