pyISM - Incremental Sequence Models for Python
What is pyISM?
The pyISM is a Python package implementing a family of Incremental Sequence Models (ISMs) implemented with tensorflow with an scikit-multiflow API.
How to install?
PyPI:
pip install -U pyism
GitHub:
pip install -U git+https://github.com/alvarolemos/pyism
What are Incremental Sequence Models (ISMs)?
Incremental Sequence Models are a family of Recurrent Neural Networks (RNNs) to tackle evolving data streams, aiming at less complexity without losing performance. It was proposed in the research An Incremental Learning approach using Sequence Models, to be presented by Álvaro Conde Lemos Neto as his Master's degree final dissertation in the Graduate Program in Electrical Engineering (PPGEE) of the Federal Univeristy of Minas Gerais (UFMG), supervisde by Prof. Criatiano Leite de Castro, PhD, both from the Machine Intelligence And Data Science (MINDS) lab.
1 maintainer
Metadata
1 maintainer
Release files for pyism 0.0.2
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| pyism-0.0.2.tar.gz | 5.9 kB | Without provenance | Details for pyism-0.0.2.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| pyism-0.0.2-py3-none-any.whl | Python 3 | none | any | Details for pyism-0.0.2-py3-none-any.whl |
Total release size: 26.7 kB
Release files / pyism-0.0.2.tar.gz
| Download URL | pyism-0.0.2.tar.gz |
|---|---|
| Size | 5.9 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/3.4.2 importlib_metadata/4.6.3 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.0 CPython/3.8.10
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Release files / pyism-0.0.2-py3-none-any.whl
| Download URL | pyism-0.0.2-py3-none-any.whl |
|---|---|
| Size | 20.8 kB |
| Tags | Python 3 |
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twine/3.4.2 importlib_metadata/4.6.3 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.0 CPython/3.8.10
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Security for pyism 0.0.2
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