pmlayer: partially monotone layer
Project description
# 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.
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file pmlayer-1.0.1.tar.gz.
File metadata
- Download URL: pmlayer-1.0.1.tar.gz
- Upload date:
- Size: 11.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.9.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | c138be4051b9305196664e316925baa6f10bee4f5fc11d081e8634a9acb29691 |
|
| MD5 | dfe4923c6e895ca59d8912543a627b82 |
|
| BLAKE2b-256 | 0ebc97f5ee9f0d889831daccf75d3c66f5ac16639b20e5b79366465be1ce0ee1 |
File details
Details for the file pmlayer-1.0.1-py3-none-any.whl.
File metadata
- Download URL: pmlayer-1.0.1-py3-none-any.whl
- Upload date:
- Size: 13.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.9.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 02f596b6ad0c8a1be929bff33e0cc2a03909c7087f3751c4053b56fcb58b9153 |
|
| MD5 | 874dd9588b9c576edae8fd3a49ed1873 |
|
| BLAKE2b-256 | 3b00140cfc8f24cd892f2b9417eadf4504d13545f52d1398b041e6ab62f8db29 |
