Generalized Tensor-on-Tensor Regression(GToTR)
gtotr is a Python package for generalized tensor-on-tensor regression,
extending statsmodels.GLM to cases
with tensor response and tensor covariates. The model parameters in gtotr are
estimated using maximum likelihood estimation associated with a low-rank model of the
parameter tensor. Currently, gtotr provides estimators using low-rank Canonical
Polyadic (CP) models.
Getting Started
Installing
$ python -m pip install .
Test the install:
$ python
>>> import gtotr
>>> help(gtotr)
Documentation
- Documentation: gtotr.readthedocs.io
- Tutorials: Jupyter notebook tutorials
- Open
gtotr-01-getting-started.ipynb
Contributing
See CONTRIBUTING.md for information on participating as a developer.
1 maintainer
Metadata
1 maintainer
Release files for gtotr 0.1.0
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| File | Size | Uploaded | |
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| gtotr-0.1.0.tar.gz | 30.2 kB | Details |
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|---|---|---|---|---|
| gtotr-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 64.9 kB
Release files / gtotr-0.1.0.tar.gz
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| Tags | Python 3 |
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