Translations:Large Scale Machine Learning (Big Data)/59/en

All estimators in Snap ML use first-order iterative solvers, similar to SGD, by default. It is thus possible to perform training in batches and avoid loading entire datasets in memory. Unlike scikit-learn however, Snap ML accepts memory-mapped numpy arrays as inputs directly.