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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 Save and Load a Mock Model with Pickle and joblib in Python

Serialize a custom machine learning model to a .joblib file with joblib.dump, reload it, and run a prediction with joblib.load.

joblib pickle model-serialization
Python 
import joblib
from pathlib import Path

class MockModel:
    def __init__(self, weights):
        self.weights = weights

    def predict(self, features):
        return sum(w * f for w, f in zip(self.weights, features))


def save_model_pickle(model, filepath):
    with open(filepath, "wb") as f:
        joblib.dump(…
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