econ-layers


Nameecon-layers JSON
Version 0.0.28 PyPI version JSON
download
home_pagehttps://github.com/HighDimensionalEconLab/econ_layers
SummaryPytorch layers for economic applications.
upload_time2023-01-12 23:37:58
maintainer
docs_urlNone
authorJesse Perla
requires_python>=3.8
licenseMIT license
keywords econ_layers
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # Pytorch Layers for Economics Applications

[![image](https://img.shields.io/pypi/v/econ_layers.svg)](https://pypi.python.org/pypi/econ_layers) [![Build Status](https://github.com/HighDimensionalEconLab/econ_layers/workflows/build/badge.svg)](https://github.com/HighDimensionalEconLab/econ_layers/actions)

## Pytorch 


-   Documentation: https://HighDimensionalEconLab.github.io/econ_layers

## Features

- Exponential layer
- Flexible multi-layer neural network with optional nonlinear last layer
- Affine rescaling of output by an input


## Development

To publish a new relase to pypi,
1. Ensure that the CI is passing
2. Modify [setup.py](setup.py#L56) to increment the minor version number, or a major version number once API stability is enforced
3. Choose the "Releases" on the github page, then "Draft a new relase"
4. Click on "Choose a tag" and then type a new release tag with the `v` followed by the version number you modified to be consistent
5. After you choose "Publish Release" it will automatically push to pypi, and you can change compatability bounds in downstream packages as required.

## Credits

This package was created with [Cookiecutter](https://github.com/cookiecutter/cookiecutter) and the [giswqs/pypackage](https://github.com/giswqs/pypackage) project template.

            

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