BagPipe
Bagpipe is a scikit-learn powered preprocessing library for listed dataframes based on the pipline structure of sklearn. It provides a set of specialized new transformers which can be used in addition to exsisting sklearn transformers, making it easier for handling datasets containing different csv in a sequence based setting.
Release files for bagpipe-python 0.0.7
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| bagpipe_python-0.0.7.tar.gz | 13.5 MB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| bagpipe_python-0.0.7-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 13.5 MB
Release files / bagpipe_python-0.0.7.tar.gz
| Download URL | bagpipe_python-0.0.7.tar.gz |
|---|---|
| Size | 13.5 MB |
| 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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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.10.8
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Release files / bagpipe_python-0.0.7-py3-none-any.whl
| Download URL | bagpipe_python-0.0.7-py3-none-any.whl |
|---|---|
| Size | 4.4 kB |
| Tags | Python 3 |
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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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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.10.8
|
Security for bagpipe-python 0.0.7
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