Lightwood is like Legos for Machine Learning.

A Pytorch based framework that breaks down machine learning problems into smaller blocks that can be glued together seamlessly with one objective:

• Make it so simple that you can build predictive models with as little as one line of code.

Learn more from the Lightwood's docs.

You can install Lightwood from pip:

pip3 install lightwood

Note: depending on your environment, you might have to use pip instead of pip3 in the above command.

Given the simple sensor_data.csv let's predict sensor3 values.

Import Predictor from Lightwood

from lightwood import Predictor

Train the model.

import pandas
sensor3_predictor = Predictor(output=['sensor3']).learn(from_data=pandas.read_csv('sensor_data.csv'))

You can now predict what sensor3 value will be.

prediction = sensor3_predictor.predict(when={'sensor1':1, 'sensor2':-1})

• You can also try Lightwood in Google Colab:

Thanks for your interest.There are many ways to contribute to this project. Get started here.

• Lightwood License