pmlayer

Name	pmlayer JSON
Version	1.0.1 JSON
	download
home_page	https://github.com/IBM/pmlayer
Summary	pmlayer: partially monotone layer
upload_time	2023-04-14 08:50:37
maintainer	Hiroki Yanagisawa
docs_url	None
author	Hiroki Yanagisawa
requires_python	>=3.6
license	Apache 2.0
keywords
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            # Partially Monotone Layer

Partially monotome layer (`pmlayer`) is a library for neural network models.
It provides several neural network layers to add monotonicity constraints on neural network models.
Current implementation is available only for PyTorch.

Read the [documentation](https://ibm.github.io/pmlayer/) to get started, and feel free to contact us for any inquiry.

# Installation

You can install `pmlayer` by using the `pip` command:

```pip install pmlayer```


# Citation

Please consider citing this paper.
> H. Yanagisawa, K. Miyaguchi, and T. Katsuki, "Hierarchical Lattice Layer for Partially Monotone Regression," NeurIPS 2022.



            

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