diresa

Name	diresa JSON
Version	1.0.11 JSON
	download
home_page	None
Summary	Diresa - distance-regularized siamese twin autoencoder
upload_time	2024-11-06 09:00:05
maintainer	None
docs_url	None
author	None
requires_python	>=3.8
license	None
keywords	climate learning machine tensorflow weather
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            # *DIRESA*


### Overview

*DIRESA* is a Python package for dimension reduction based on 
[TensorFlow](https://www.tensorflow.org). The distance-regularized 
Siamese twin autoencoder architecture is designed to preserve distance 
(ordering) in latent space while capturing the non-linearities in
the datasets.


### Prerequisites

The *DIRESA* package depends on the [tensorflow](https://www.tensorflow.org) 
and [tensorflow_probability](https://www.tensorflow.org/probability) packages. 
These can be installed with the following commands:

``` bash
  pip install tensorflow
  pip install tensorflow_probability
```

### Install *DIRESA*

Install *DIRESA* with the following command:

``` bash
  pip install diresa
```

### Documentation

The *DIRESA* documentation can be found on [Read the Docs](https://diresa-learn.readthedocs.io)
            

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