skjson 0.1.0

Export scikit-learn models to JSON for cross-language inference

skjson

Export scikit-learn models to JSON for cross-language inference.

Installation

pip install skjson

Quick Start

import skjson
from sklearn.linear_model import LinearRegression
import numpy as np

# Train
model = LinearRegression().fit(np.array([[1], [2], [3]]), np.array([1, 2, 3]))

# Export
skjson.save(model, "model.json", feature_names=["x"])

# Load & predict (no sklearn needed)
predictor = skjson.load("model.json")
predictions = predictor.predict([[4], [5]])

Future Directions

• Support for scikit-learn Pipeline objects and feature unions.
• npm package for inference using our json models
• Support for sklearn.neural_network models

Note

• This project built with Google Gemini and Claude Opus.
• If you wish to contribute, please contact me.