photonai_conformal
PHOTONAI conformal enables simple usage of conformal predictions in photonai based on mapie.
Project Setup
Install the latest version with pip
pip install git+https://github.com/wwu-mmll/photonai_conformal
Features
- Basic conformal predictions for photonai
- Compatibility of PipelineElement for Mapie
Metadata
Release files for photonai-conformal 0.0.6
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| photonai_conformal-0.0.6.tar.gz | 14.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| photonai_conformal-0.0.6-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 19.8 kB
Release files / photonai_conformal-0.0.6.tar.gz
| Download URL | photonai_conformal-0.0.6.tar.gz |
|---|---|
| Size | 14.1 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.11.1
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Release files / photonai_conformal-0.0.6-py3-none-any.whl
| Download URL | photonai_conformal-0.0.6-py3-none-any.whl |
|---|---|
| Size | 5.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.11.1
|