Project description

Automation Toolbox for Machine learning in water Networks

The Automation Toolbox for Machine learning in water Networks (atmn) offers a selection of easy to use tools for generating and working with synthetic water network data. It builds on the wntr python package to use the EPANET simulator for simulation of leaks and sensor faults in water networks.

For full documentation and example code, please refer to our Github Page.

Project details

These details have not been verified by PyPI

Project links

Repository

GitHub Statistics

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Release history Release notifications | RSS feed

This version

1.1.0

Mar 9, 2023

1.0.0

Jan 27, 2023

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

atmn-1.1.0.tar.gz (2.1 MB view hashes)

Uploaded Mar 9, 2023 Source

Built Distribution

atmn-1.1.0-py3-none-any.whl (20.7 kB view hashes)

Uploaded Mar 9, 2023 Python 3

Hashes for atmn-1.1.0.tar.gz

Hashes for atmn-1.1.0.tar.gz
Algorithm	Hash digest
SHA256	`d937cff6d90b8cca714ccbfc89fd989827b546ca1d775fb6999653edf134afb6`
MD5	`dad0ad4d097e0a21b17f483acad63ae4`
BLAKE2b-256	`8fd1602db916d548d0ed70fc2433cbff23ea6a4f54ff9c537c90b0f94c18bedb`

Hashes for atmn-1.1.0-py3-none-any.whl

Hashes for atmn-1.1.0-py3-none-any.whl
Algorithm	Hash digest
SHA256	`bbf19818a06f62d0d4cb7455163a0c2df24fe5192cef82b5aeb788ede4177a68`
MD5	`745a4e0b63b725afe7460c946c80fef2`
BLAKE2b-256	`d2eab5d5a46b62ce586f211a34e2d24525f2f73506bf2446a7392b2c7e024887`