The following environments provide a foundation to use a different Python version
on the Faculty Platform servers than what's shipped in the default Python2
and Python3 Conda environments (Python 2.7.16 and 3.6.10 respectively, at the time
of writing). These environments are intended to be a quick fix while the Platform
implements support for newer Python versions.
There are 3 environments included:
| import operator | |
| import uuid | |
| from enum import Enum | |
| from mlflow.entities import Run, RunInfo, RunData, Metric, Param | |
| class KeyType(Enum): | |
| PARAM = "param" | |
| METRIC = "metric" |
This gist sets out proposals for modifying the interfaces to the MLflow stores and artifact repositories. Currently, different implementations of these require different arguments, and the proposals below attempt to make them more consistent.
These changes are motivated in particular by a proposed new plugin system for third party packages to provide implementations of tracking stores and [artifact