Crate sparrow

Sparrow is an implementation of TMSN for boosting.

From a high level, Sparrow consists of three components,

1. scanner: it runs the boosting process, which scans the samples in memory, and updates the current model by finding a new weak rule to be added to the score function;
2. sampler: it samples examples from disk and updates their scores according to the latest score function,
3. model manager: it assigns tasks to the scanners, receives model updates from them, and maintains the current score function.

Modules

head	Implementation of the components running on head node, specifically the scanner and the model manager
scanner	Implementation of the scanner

Functions

testing	Test a model
training	Train a model