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,
Pass in a csv file that is stored in user collections:
An array of predicted house prices:
[ "$34,607.00", "$25,830.00", "$42,303.00",.... ]