Factual package intelligence from PyPI

wall-ml-prediction 1.0.1 package intelligence

This library presents available functions to use Artificial Neural Netwroks (ANN) and Random Forest (RF) trained models to make predictions of the maximum roof acceleration (PFA_max) and the maximum roof drift ratio (rDR_max) in reinforced concrete wall buildings.

pip install wall-ml-prediction

Current version
1.0.1
Python requirement
>=3.9
License
Apache-2.0
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
43.5 MiB
Release history
1 releases with files
Median release cadence
Not enough dated releases

wall-ml-prediction dependencies

PyPI declares 7 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. matplotlib >=3.9.1
  2. numpy >=1.26.4
  3. joblib >=1.4.2
  4. scikit-learn ==1.2.1
  5. tensorflow ==2.17.0
  6. keras >=3.4.1
  7. pandas >=2.2.2

Compatibility and release files

wall-ml-prediction publishes 1 wheel and 1 source archive for version 1.0.1. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Release activity and sources

PyPI lists 1 release with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on .