Metadata-Version: 2.4
Name: tabular-orchestrated
Version: 0.5.0b0
Author-email: DanielAvdar <66269169+DanielAvdar@users.noreply.github.com>
License: MIT
License-File: LICENSE
Keywords: python
Requires-Python: >3.10
Requires-Dist: pandas-pyarrow>=0.1.11
Provides-Extra: base
Requires-Dist: ml-orchestrator; extra == 'base'
Requires-Dist: numpy<2.0.0; extra == 'base'
Provides-Extra: deepchecks
Requires-Dist: eh-tabular-deepchecks>=0.0.4b; extra == 'deepchecks'
Requires-Dist: ml-orchestrator; extra == 'deepchecks'
Requires-Dist: numpy<2.0.0; extra == 'deepchecks'
Requires-Dist: setuptools; extra == 'deepchecks'
Provides-Extra: editor
Requires-Dist: ml-orchestrator[editor]>=0.0.14b0; extra == 'editor'
Provides-Extra: evalml
Requires-Dist: eh-evalml; extra == 'evalml'
Requires-Dist: ml-orchestrator; extra == 'evalml'
Requires-Dist: numpy<2.0.0; extra == 'evalml'
Provides-Extra: mljar
Requires-Dist: ml-orchestrator; extra == 'mljar'
Requires-Dist: mljar-supervised; extra == 'mljar'
Requires-Dist: numpy<2.0.0; extra == 'mljar'
Provides-Extra: spliter
Requires-Dist: ml-orchestrator; extra == 'spliter'
Requires-Dist: numpy<2.0.0; extra == 'spliter'
Requires-Dist: scikit-learn>=1.3.0; extra == 'spliter'
Description-Content-Type: text/markdown

[![version](https://img.shields.io/pypi/v/tabular-orchestrated)](https://img.shields.io/pypi/v/tabular-orchestrated)

# tabular-orchestrated


packaged open source tabular machine learning modules, for KubeFlow pipelines.
