mlflow-wrapper 0.0.1.8

A mlflow wrapper for easier handling of runs and experiments

MLFlow Wrapper

Mlflow Wrapper is a python library intended to abstract some functionality away from the developer when interacting with the mlflow library. The library supports/ improves the handling of experiments and offers helper functions which are not available in mlflow by default. Furthermore, the library offers functions to interact with Runs itself, and uploading/downloading files.

Installation

pip install mlflow-wrapper

Quick start

Some quick start examples. Please refer to the wiki for a complete overview of all functions.

Experiment Handler

from mlflow_wrapper.experiment_handler import ExperimentHandler

# Connect to a local mlflow server
exp_handler:ExperimentHandler = ExperimentHandler()

# Get the id of a new experiment which does no exist so far
exp_id = exp_handler.get_experiment_by_name(experiment_name="New Experiment")

Run Handler

from mlflow_wrapper.run_handler import RunHandler

run_handler: RunHandler = RunHandler()

# Delete a parent run and all associated children run. 
# Does only delete the first occurence of the given run name. If multiple runs do have the same name,
# this command needs to be executed multiple times

run_handler.delete_run(experiment_id=exp_id, run_name="My Run")

Bugs & Issues

Please use the GitHub issue tracker for issues. I will try to get to them asap.

Feedback

Feedback is most welcomed and I will respond asap.