demo

demo / scikitlearnbostonhousingdemo / 0.1.0

README.md

Introduction

This algorithm is a working demo of the guide for how to host your Scikit-Learn model on the Algorithmia platform. It uses the sklearn.ensemble.RandomForestRegressor to predict housing prices for Scikit-Learn's Boston housing prices dataset.

The pickled model is stored in user collections while the algorithm itself loads the pickled model and uses it to predict the housing prices from a test section of data,

Input

Pass in a csv file that is stored in user collections:

"data://YOUR_USERNAME/YOUR_DATA_COLLECTION/boston_test_data.csv"

Output

An array of predicted house prices:

[ "$34,607.00", "$25,830.00", "$42,303.00",.... ]

Credits

http://scikit-learn.org/