Experiment Evaluation Metrics for Bob
This package is part of the signal-processing and machine learning toolbox Bob. It contains common routines for assessing performance of machine learning experiments.
Installation
Complete Bob's installation instructions.
Then, to install this package, run:
conda install bob.measure
Contact
For questions or reporting issues to this software package, contact our development mailing list.
12 maintainers
Release files for bob.measure 6.1.1
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_measure-6.1.1.tar.gz | 66.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| bob.measure-6.1.1-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details |
Total release size: 117.1 kB
Release files / bob_measure-6.1.1.tar.gz
| Download URL | bob_measure-6.1.1.tar.gz |
|---|---|
| Size | 66.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.10.14
|
Release files / bob.measure-6.1.1-py2.py3-none-any.whl
| Download URL | bob.measure-6.1.1-py2.py3-none-any.whl |
|---|---|
| Size | 50.3 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 | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.10.14
|
