Factual package intelligence from PyPI

mlapp 0.1.6.1 package intelligence

IBM Services Framework for ML Applications Python 3 framework for building robust, production-ready machine learning applications. Official ML accelerator within the larger RAD-ML methodology.

pip install mlapp

Current version
0.1.6.1
Python requirement
>=3.6
License
Apache License 2.0
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
459.2 KiB
Release history
13 releases with files
Median release cadence
8 days

mlapp dependencies

PyPI declares 32 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. pandas
  2. scipy
  3. numpy >=1.16.5
  4. scikit-learn
  5. matplotlib
  6. environs
  7. click
  8. tabulate
  9. requests
  10. urllib3
  11. sqlalchemy <=1.3.22
  12. jsonschema

The compact report shows 25 of 32 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

mlapp publishes 1 wheel and 1 source archive for version 0.1.6.1. Wheel platform tags: any.

Declared Python classifiers: 3.6, 3.7, 3.8, 3.9.

Release activity and sources

PyPI lists 13 releases with files. The first dated release is ; 13 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .