# 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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Release files for pmlayer 1.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pmlayer-1.0.1.tar.gz | 11.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pmlayer-1.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 24.8 kB
Release files / pmlayer-1.0.1.tar.gz
| Download URL | pmlayer-1.0.1.tar.gz |
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| Size | 11.7 kB |
| Tags | Source |
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Release files / pmlayer-1.0.1-py3-none-any.whl
| Download URL | pmlayer-1.0.1-py3-none-any.whl |
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| Size | 13.0 kB |
| Tags | Python 3 |
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