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ML engineering pipelines

Feature prep, batch inference, model-serving hooks, and production ML workflow glue.

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ML engineering pipelines easy

How to Generate Experiment Tracking Run IDs in Python

Generate unique experiment run IDs with timestamps and random suffixes for tracking ML pipeline executions.

run-ids experiment-tracking ml-pipelines
Python 
import random
import string
import time

def generate_run_id(prefix="exp"):
    timestamp = time.strftime("%Y%m%d_%H%M%S")
    suffix = "".join(random.choices(string.ascii_lowercase + string.digits, k=6))
    return f"{prefix}_{timestamp}_{suffix}"

if __name__ == "__main__":
    # Simulate tracking three experiment r…
13 0 Open

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