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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 Trigger Model Retraining on Drift in Python

Automatically detects accuracy drift in a mock ML model and triggers retraining when performance falls below a threshold.

ml drift-detection retraining
Python 
import random
import time

class MockModel:
    def __init__(self, name):
        self.name = name
        self.accuracy = 0.85
        self.version = 1

    def train(self, data_size):
        # Simulate training time and accuracy improvement
        time.sleep(0.1)
        drift = random.uniform(-0.02, 0.02)
       …
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