Experiment Tracking Patterns

Expert patterns for MLflow, W&B, Optuna hyperparameter search, and experiment organization at scale.

Pattern 1: MLflow Manual Logging

Complete MLflow run with params, metrics, artifacts, and model signature.

import mlflow
import mlflow.pytorch
from mlflow.models import infer_signature
import torch
import numpy as np

# Set tracking URI (local or server)
mlflow.set_tracking_uri("http://mlflow-server:5000")  # or "mlite:///mlflow.db" for local SQLite

mlflow.set_experiment("sentiment-classification")