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Release new version 1.5.0
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README.md

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[![GitHub release](https://img.shields.io/badge/release-1.4.3-yellow.svg)](https://github.com/thieu1995/permetrics/releases)
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[![GitHub release](https://img.shields.io/badge/release-1.5.0-yellow.svg)](https://github.com/thieu1995/permetrics/releases)
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[![Wheel](https://img.shields.io/pypi/wheel/gensim.svg)](https://pypi.python.org/pypi/permetrics)
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[![PyPI version](https://badge.fury.io/py/permetrics.svg)](https://badge.fury.io/py/permetrics)
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![PyPI - Python Version](https://img.shields.io/pypi/pyversions/permetrics.svg)
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field access metrics as fast as possible
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* **Free software:** GNU General Public License (GPL) V3 license
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* **Total metrics**: 107 (47 regression metrics, 20 classification metrics, 40 clustering metrics)
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* **Total metrics**: 111 (47 regression metrics, 20 classification metrics, 44 clustering metrics)
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* **Documentation:** https://permetrics.readthedocs.io/en/latest/
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* **Python versions:** >= 3.7.x
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* **Dependencies:** numpy, scipy
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### Install with pip
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Install the [current PyPI release](https://pypi.python.org/pypi/permetrics):
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```sh
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$ pip install permetrics==1.4.3
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$ pip install permetrics==1.5.0
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```
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Or installing from the source code, use:

permetrics/__init__.py

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# print(internal_evaluator.BRI())
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__version__ = "1.4.3"
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__version__ = "1.5.0"
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from .evaluator import Evaluator
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from .classification import ClassificationMetric

setup.py

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setup(
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name="permetrics",
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version="1.4.3",
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version="1.5.0",
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author="Thieu",
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author_email="[email protected]",
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description="PerMetrics: A Framework of Performance Metrics for Machine Learning Models",

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