MLFLow Python API

example.py

# pip install mlflow

import mlflow
from mlflow.tracking import MlflowClient


mlflow.set_tracking_uri("http://your-mlflow-server-uri")


client = MlflowClient()

experiments = client.list_experiments()

experiment = client.get_experiment_by_name("Your Experiment Name")


runs = client.search_runs(experiment_ids=[experiment.experiment_id])


for key, value in run_params.items():
  print(f"Parameter: {key}, Value: {value}")

for key, value in run_metrics.items():
  print(f"Metric: {key}, Value: {value}")

for key, value in run_tags.items():
  print(f"Tag: {key}, Value: {value}")