m5py
scikit-learn-compliant M5 / M5' model trees for python
The documentation for users is available here: https://smarie.github.io/python-m5p/
A readme for developers is available here: https://github.com/smarie/python-m5p
1 maintainer
Metadata
1 maintainer
Release files for m5py 0.3.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| m5py-0.3.3.tar.gz | 59.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| m5py-0.3.3-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details |
Total release size: 87.4 kB
Release files / m5py-0.3.3.tar.gz
| Download URL | m5py-0.3.3.tar.gz |
|---|---|
| Size | 59.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.11.7
|
Release files / m5py-0.3.3-py2.py3-none-any.whl
| Download URL | m5py-0.3.3-py2.py3-none-any.whl |
|---|---|
| Size | 27.8 kB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.11.7
|
