Factual package intelligence from PyPI

train-and-deploy 0.1.4 package intelligence

Train and Deploy is a framework to automatize the Machine Learning workflow.

pip install train-and-deploy

Current version
0.1.4
Python requirement
Not declared
License
Not declared
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
127.4 KiB
Release history
4 releases with files
Median release cadence
1 days

train-and-deploy dependencies

PyPI declares 9 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. torch ==1.6.0
  2. scikit-learn ==0.22.2
  3. mlflow ==1.10.0
  4. pandas ==1.0.4
  5. numpy ==1.19.1
  6. seaborn ==0.10.1
  7. matplotlib ==3.2.1
  8. unidecode ==1.1.1
  9. fastapi ==0.60.1

Compatibility and release files

train-and-deploy publishes 1 wheel and 1 source archive for version 0.1.4. Wheel platform tags: any.

Declared Python classifiers: 3.8.

Metadata completeness

PyPI does not currently declare: Python requirement, license. PyDeps marks these fields as unknown instead of guessing values.

Release activity and sources

PyPI lists 4 releases with files. The first dated release is ; 4 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .