scikit-ika
A real-time adaptive predictive system for evolving data streams. Learn More
Requirements
Make sure the following dependencies are installed:
-
Python ≥ 3.6
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C++ toolchain supporting C++14 (g++ 7+, CMake)
Installing
From PyPI
pip install scikit-ika
From source
git clone https://github.com/scikit-ika/scikit-ika.git --recursive
pip install ./scikit-ika
Note
scikit-ika is still in its infancy. The APIs are unstable and the documentation is scarse.
Guides on usages and parameter tunning are on its way. Meanwhile, please feel free to raise issues or email us if you have any questions.
Acknowledgement
This project is inspired by and has dependencies on the following projects:
1 maintainer
Metadata
1 maintainer
Release files for scikit-ika 0.0.7
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| scikit-ika-0.0.7.tar.gz | 52.3 kB | Without provenance | Details for scikit-ika-0.0.7.tar.gz |
Release files / scikit-ika-0.0.7.tar.gz
| Download URL | scikit-ika-0.0.7.tar.gz |
|---|---|
| Size | 52.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
3fb33ddf1e34d606b4d008812cb02615b93293f85bd93855a2290514735cc2e1
|
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BLAKE2b-256 checksum How to use checksums |
77c27c7f937b567b5b0bc81111dc72bfbb5b05d42b1701cae92d4d2fb6f7b6a5
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No |
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twine/3.4.1 importlib_metadata/4.0.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.6.7
|
Security for scikit-ika 0.0.7
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