✨ Automate Your ML Pipelines with MLFCrafter (Open Source)

Hey Devs! 👋

I recently built a small open-source Python package called MLFCrafter that helps you build and run ML pipelines faster — no more repetitive boilerplate!

Instead of writing tons of lines to load, clean, scale, train, and evaluate a model, you just chain crafters together.

🛠 What is MLFCrafter?

MLFCrafter is a modular machine learning pipeline tool.
Each step in the pipeline is called a crafter, and you can compose them like building blocks.

Here’s how it looks in action:

from mlfcrafter import MLFChain, DataIngestCrafter, CleanerCrafter, ScalerCrafter, ModelCrafter, ScorerCrafter, DeployCrafter

chain = MLFChain(
    DataIngestCrafter(data_path="data/iris.csv"),
    CleanerCrafter(strategy="auto"),
    ScalerCrafter(scaler_type="standard"),
    ModelCrafter(model_name="random_forest"),
    ScorerCrafter(),
    DeployCrafter()
)

results = chain.run(target_column="species")
print(f"Test Score: {results['test_score']:.4f}")

That’s it — your full ML pipeline is up and running.