Tools to build robust and extensible pipelines
This package is part of the signal-processing and machine learning toolbox Bob.
The goal is to provide more flexible pipeline mechanisms for bob.bio.base and bob.pad.base.
It is based on the scikit-learn pipeline and adds a layer to route data and metadata through the pipeline (which is not supported by scikit-learn yet).
Installation
Complete bob's installation instructions. Then, to install this package, run:
conda install bob.pipelines
Contact
For questions or reporting issues to this software package, contact our development mailing list.
1 maintainer
Release files for bob.pipelines 4.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| bob_pipelines-4.0.1.tar.gz | 203.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| bob.pipelines-4.0.1-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details |
Total release size: 255.5 kB
Release files / bob_pipelines-4.0.1.tar.gz
| Download URL | bob_pipelines-4.0.1.tar.gz |
|---|---|
| Size | 203.8 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/5.1.1 CPython/3.10.14
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Release files / bob.pipelines-4.0.1-py2.py3-none-any.whl
| Download URL | bob.pipelines-4.0.1-py2.py3-none-any.whl |
|---|---|
| Size | 51.7 kB |
| Tags | Python 2 Python 3 |
|
SHA-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/5.1.1 CPython/3.10.14
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