6. Strategies to scale computationally: bigger data — scikit-learn 0.19.2 documentation

6. Strategies to scale computationally: bigger data¶ For some applications the amount of examples, features (or both) and/or the speed at which they need to be processed are challenging for traditional approaches. In these cases scikit-learn has a number of options you can consider to make your system scale. 6.1. Scaling with instances using out-of-core learning¶ Out-of-core (or “external memory”)

[somemo]

http://scikit-learn.org/stable/modules/feature_extraction.html#feature-hashing , Incremental learning -> Classification/Regression だけじゃなくて, ClusteringDecomposition / feature Extraction / Preprocessing にも存在するpartial_fit

[yubessy]

6. Strategies to scale computationally: bigger data — scikit-learn 0.15.2 documentation