Evaluations
- The library implements various metrics for evaluating machine learning algorithms
Table of contents
How to use
>>> from evaluations.classification import confusion_matrix_binary
>>> confusion_matrix_binary([1, 1, 0, 0], [1, 0, 0, 1])
{'tp': 1, 'tn': 1, 'fp': 1, 'fn': 1}
Installation
PyPI
You can use pip to install evaluations:
pip install evaluations
You can clone and install the latest version of the library from GitHub:
pip install -U git+https://github.com/yisaienkov/evaluations
Documentation
The full documentation is available at https://evaluations.readthedocs.io/.
Authors
Metadata
Release files for evaluations 0.0.5
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| evaluations-0.0.5.tar.gz | 6.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| evaluations-0.0.5-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 19.9 kB
Release files / evaluations-0.0.5.tar.gz
| Download URL | evaluations-0.0.5.tar.gz |
|---|---|
| Size | 6.5 kB |
| Tags | Source |
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Release files / evaluations-0.0.5-py3-none-any.whl
| Download URL | evaluations-0.0.5-py3-none-any.whl |
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| Size | 13.3 kB |
| Tags | Python 3 |
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