bcml4pheno
Library for conducting, evaluating, and visualizing binary classification machine learning models for physics phenomenology.
Install
pip install bcml4pheno
How to use
Refer to our documentation, in particular our example project should prove insightful.
1 maintainer
Metadata
1 maintainer
Release files for bcml4pheno 0.0.9
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 | |
|---|---|---|---|---|
| bcml4pheno-0.0.9.tar.gz | 18.1 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| bcml4pheno-0.0.9-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 34.4 kB
Release files / bcml4pheno-0.0.9.tar.gz
| Download URL | bcml4pheno-0.0.9.tar.gz |
|---|---|
| Size | 18.1 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/4.0.1 CPython/3.9.12
|
Release files / bcml4pheno-0.0.9-py3-none-any.whl
| Download URL | bcml4pheno-0.0.9-py3-none-any.whl |
|---|---|
| Size | 16.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
75b0fd014f9c2f424da979e41c9ea21e80acfdefb64c76ca80eb3f0e24782ff3
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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/4.0.1 CPython/3.9.12
|
Security for bcml4pheno 0.0.9
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