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.
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Release files for atmn 1.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| atmn-1.1.0.tar.gz | 2.1 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| atmn-1.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 2.1 MB
Release files / atmn-1.1.0.tar.gz
| Download URL | atmn-1.1.0.tar.gz |
|---|---|
| Size | 2.1 MB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.7
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Release files / atmn-1.1.0-py3-none-any.whl
| Download URL | atmn-1.1.0-py3-none-any.whl |
|---|---|
| Size | 20.7 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.7
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