| 主权项 |
1. A system, comprising:
one or more computing devices configured to:
receive, at a machine learning service of a provider network, an indication of a data source to be used for generating a linear prediction model, wherein, to generate a prediction, the linear prediction model is to utilize respective weights assigned to individual ones of a plurality of features derived from observation records of the data source, wherein the respective weights are stored in a parameter vector of the linear prediction model;determine, based at least in part on examination of a particular set of observation records of the data source, respective weights for one or more features to be added to the parameter vector during a particular learning iteration of a plurality of learning iterations of a training phase of the linear prediction model;in response to a determination that a triggering condition has been met during the training phase,
identify one or more pruning victims from a set of features whose weights are included in the parameter vector, based at least in part on a quantile analysis of the weights, wherein the quantile analysis is performed without a sort operation; andremove at least a particular weight corresponding to a particular pruning victim of the one or more pruning victims from the parameter vector; andgenerate, during a post-training-phase prediction run of the linear prediction model, a prediction using at least one feature for which a weight is determined after the particular weight of the particular pruning victim is removed from the parameter vector. |
