MLOps

Production machine learning systems with MLflow, model versioning, and deployment pipelines.

Quick Start

import mlflow
from mlflow.tracking import MlflowClient
from sklearn.ensemble import RandomForestClassifier
from sklearn.metrics import accuracy_score, f1_score
import joblib

# Configure MLflow
mlflow.set_tracking_uri("http://mlflow-server:5000")
mlflow.set_experiment("customer-churn-prediction")

# Training with experiment tracking
with mlflow.start_run(run_name="rf-baseline"):