14fba01b5a
* Add UpdatePredictionCache() option to updaters Some updaters (e.g. fast_hist) has enough information to quickly compute prediction cache for the training data. Each updater may override UpdaterPredictionCache() method to update the prediction cache. Note: this trick does not apply to validation data. * Respond to code review * Disable some debug messages by default * Document UpdatePredictionCache() interface * Remove base_margin logic from UpdatePredictionCache() implementation * Do not take pointer to cfg, as reference may get stale * Improve multi-threaded performance * Use columnwise accessor to accelerate ApplySplit() step, with support for a compressed representation * Parallel sort for evaluation step * Inline BuildHist() function * Cache gradient pairs when building histograms in BuildHist() * Add missing #if macro * Respond to code review * Use wrapper to enable parallel sort on Linux * Fix C++ compatibility issues * MSVC doesn't support unsigned in OpenMP loops * gcc 4.6 doesn't support using keyword * Fix lint issues * Respond to code review * Fix bug in ApplySplitSparseData() * Attempting to read beyond the end of a sparse column * Mishandling the case where an entire range of rows have missing values * Fix training continuation bug Disable UpdatePredictionCache() in the first iteration. This way, we can accomodate the scenario where we build off of an existing (nonempty) ensemble. * Add regression test for fast_hist * Respond to code review * Add back old version of ApplySplitSparseData
This folder contains testcases for xgboost.