Metadata-Version: 2.3
Name: pyml-regression-example1
Version: 0.1.0
Summary: Python Machine Learning Regression Example: Life Expectancy
Requires-Python: >=3.11
Requires-Dist: click>=8.1.7
Requires-Dist: colorama>=0.4.6
Requires-Dist: matplotlib>=3.9.2
Requires-Dist: numpy>=2.1.1
Requires-Dist: pandas>=2.2.3
Requires-Dist: platformdirs>=4.3.6
Requires-Dist: plotly>=5.24.1
Requires-Dist: pyqt6>=6.7.1
Requires-Dist: scikit-learn>=1.5.2
Requires-Dist: sphinx-autodoc-typehints>=2.0.0
Requires-Dist: sphinx-click-rst-to-ansi-formatter>=0.1.4
Description-Content-Type: text/markdown

# pyml-regression-example1

Example from Chapter 1 of the book [Hands-on Machine Learning with Scikit-Learn, Keras and TensorFlow](https://github.com/ageron/handson-ml3). This example illustrates regression techniques.

## Installation from Git source
```
$ python -m venv .venv
$ source .venv/bin/activate
$ pip install .
```
or if you plan to change the source code, install for development like this:
```
$ uv venv
$ uv sync   # Install dependencies
$ source .venv/bin/activate
$ source shell_completion/bash.sh   # optionally enable shell completions
```
Then, test the installed script:
```
$ life-expectancy --help
# Test a sub command, e.g. download-data
$ life-expectancy download-data
```

For more information, see [the documentation](https://hakonhagland.github.io/pyml-regression-example1/).
