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ML engineering pipelines

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

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How to Mock Shadow Mode Inference in Python

Simulates running multiple candidate models in shadow mode by adding randomized delays and returning their outputs alongside a primary model's output.

ml-pipeline shadow-mode simulation
Python 
import random
import time


def shadow_mode_inference(candidates, mock_delay=0.1):
    """
    Simulates running multiple candidate models in 'shadow mode'
    by adding tiny randomized delays and returning their outputs
    alongside the primary model's output.
    """
    primary_output = "primary: answer"
    shado…
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