model-evaluation-utilities
Utilities for evaluating and reporting machine learning model performance.
1. Installing
To install the package from PyPI, follow the instructions below:
pip install --upgrade model_evaluation_utilities
Execute pip show model-evaluation-utilities to see where it was installed.
Using
To start, use the command below:
classification-report-tool
2. More information
If you want more information go to doc directory.
3. Buy me a coffee
If you find this tool useful and would like to support its development, you can buy me a coffee!
Your donations help keep the project running and improve future updates.
4. License
This project is licensed under the GPL license. See the LICENSE file for more details.
1 maintainer
Metadata
1 maintainer
Release files for model-evaluation-utilities 0.1.4
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| model_evaluation_utilities-0.1.4.tar.gz | 20.3 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| model_evaluation_utilities-0.1.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 43.2 kB
Release files / model_evaluation_utilities-0.1.4.tar.gz
| Download URL | model_evaluation_utilities-0.1.4.tar.gz |
|---|---|
| Size | 20.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
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twine/6.2.0 CPython/3.10.12
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Release files / model_evaluation_utilities-0.1.4-py3-none-any.whl
| Download URL | model_evaluation_utilities-0.1.4-py3-none-any.whl |
|---|---|
| Size | 22.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.10.12
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Security for model-evaluation-utilities 0.1.4
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