Connect to a peer (outgoing), sending our rank for identification.

Workers connect to a sparse subset of peers: ring neighbors plus binomial tree neighbors (rooted at rank 0). This gives O(log n) connections per worke

* \brief Whether this is a contiguous array, both C and F contiguous returns true. */

* @brief Copy primitive fields into this, and collect cat_bits into a vector. * * This is used for allgather. * * @param that The other en

* @brief Implementation of the Copy method, used by both CPU and GPU. Note that this * method changes the permission in the HostDeviceVector as we

@brief Getter of the context. */

* Initialize with random data for demo. In practice the data should be loaded * from external memory. We just demonstrate how to use the iterator in

!\return whether missing value goes to left branch */

! \brief when feature is unknown, whether goes to left child */

* @brief Return the configuration for the default metric. */

Changing this has effect on prediction return, where we need to pass the pointer to third-party libraries like cuPy

Dispatch between template implementations

! \brief do pruning of a tree */

* @brief Apply inverse link (activation) function to prediction values * * This is only called when Eval is called, usually it redirect to Pred

* @brief Calculate leaf weights using value gradient. * * This method supports reduced gradient. Weights in p_tree are calculated using split

find splits at current level, do split per level

try to fix rounding error and re-establish invariance

* The parsing is also part of ryu. As of writing, the implementation in ryu uses full * double table. But here we optimize the table size with floa

Gather hit_count from all threads