Machine Learning in Earth Engine Google Earth Engine API Google Developers

Training and inference using ee.Classifier or ee.Clusterer is generally effective up to a request size of approximately 100 megabytes. This is only an approximate guideline due to additional overhead around the request, but note that for b 100 (i.e. Since Earth Engine processes 256x256 image tiles, inference requests on imagery must have b 400 (again assuming 32-bit precision of the imagery). Examples of machine learning using the Earth Engine API can be found on the Supervised Classification page or the Unsupervised Classification page. Regression is generally performed with an ee.Reducer as described on this page, but see also ee.Reducer.RidgeRegression.