f0064c07ab
* Refactor configuration [Part II].
* General changes:
** Remove `Init` methods to avoid ambiguity.
** Remove `Configure(std::map<>)` to avoid redundant copying and prepare for
parameter validation. (`std::vector` is returned from `InitAllowUnknown`).
** Add name to tree updaters for easier debugging.
* Learner changes:
** Make `LearnerImpl` the only source of configuration.
All configurations are stored and carried out by `LearnerImpl::Configure()`.
** Remove booster in C API.
Originally kept for "compatibility reason", but did not state why. So here
we just remove it.
** Add a `metric_names_` field in `LearnerImpl`.
** Remove `LazyInit`. Configuration will always be lazy.
** Run `Configure` before every iteration.
* Predictor changes:
** Allocate both cpu and gpu predictor.
** Remove cpu_predictor from gpu_predictor.
`GBTree` is now used to dispatch the predictor.
** Remove some GPU Predictor tests.
* IO
No IO changes. The binary model format stability is tested by comparing
hashing value of save models between two commits
104 lines
3.3 KiB
C++
104 lines
3.3 KiB
C++
/*!
|
|
* Copyright 2014-2019 by Contributors
|
|
* \file tree_updater.h
|
|
* \brief General primitive for tree learning,
|
|
* Updating a collection of trees given the information.
|
|
* \author Tianqi Chen
|
|
*/
|
|
#ifndef XGBOOST_TREE_UPDATER_H_
|
|
#define XGBOOST_TREE_UPDATER_H_
|
|
|
|
#include <dmlc/registry.h>
|
|
#include <xgboost/base.h>
|
|
#include <xgboost/data.h>
|
|
#include <xgboost/tree_model.h>
|
|
#include <xgboost/generic_parameters.h>
|
|
|
|
#include <functional>
|
|
#include <vector>
|
|
#include <utility>
|
|
#include <string>
|
|
|
|
#include "../../src/common/host_device_vector.h"
|
|
|
|
namespace xgboost {
|
|
/*!
|
|
* \brief interface of tree update module, that performs update of a tree.
|
|
*/
|
|
class TreeUpdater {
|
|
protected:
|
|
GenericParameter const* tparam_;
|
|
|
|
public:
|
|
/*! \brief virtual destructor */
|
|
virtual ~TreeUpdater() = default;
|
|
/*!
|
|
* \brief Initialize the updater with given arguments.
|
|
* \param args arguments to the objective function.
|
|
*/
|
|
virtual void Configure(const Args& args) = 0;
|
|
/*!
|
|
* \brief perform update to the tree models
|
|
* \param gpair the gradient pair statistics of the data
|
|
* \param data The data matrix passed to the updater.
|
|
* \param trees references the trees to be updated, updater will change the content of trees
|
|
* note: all the trees in the vector are updated, with the same statistics,
|
|
* but maybe different random seeds, usually one tree is passed in at a time,
|
|
* there can be multiple trees when we train random forest style model
|
|
*/
|
|
virtual void Update(HostDeviceVector<GradientPair>* gpair,
|
|
DMatrix* data,
|
|
const std::vector<RegTree*>& trees) = 0;
|
|
|
|
/*!
|
|
* \brief determines whether updater has enough knowledge about a given dataset
|
|
* to quickly update prediction cache its training data and performs the
|
|
* update if possible.
|
|
* \param data: data matrix
|
|
* \param out_preds: prediction cache to be updated
|
|
* \return boolean indicating whether updater has capability to update
|
|
* the prediction cache. If true, the prediction cache will have been
|
|
* updated by the time this function returns.
|
|
*/
|
|
virtual bool UpdatePredictionCache(const DMatrix* data,
|
|
HostDeviceVector<bst_float>* out_preds) {
|
|
return false;
|
|
}
|
|
|
|
virtual char const* Name() const = 0;
|
|
|
|
/*!
|
|
* \brief Create a tree updater given name
|
|
* \param name Name of the tree updater.
|
|
*/
|
|
static TreeUpdater* Create(const std::string& name, GenericParameter const* tparam);
|
|
};
|
|
|
|
/*!
|
|
* \brief Registry entry for tree updater.
|
|
*/
|
|
struct TreeUpdaterReg
|
|
: public dmlc::FunctionRegEntryBase<TreeUpdaterReg,
|
|
std::function<TreeUpdater* ()> > {
|
|
};
|
|
|
|
/*!
|
|
* \brief Macro to register tree updater.
|
|
*
|
|
* \code
|
|
* // example of registering a objective ndcg@k
|
|
* XGBOOST_REGISTER_TREE_UPDATER(ColMaker, "colmaker")
|
|
* .describe("Column based tree maker.")
|
|
* .set_body([]() {
|
|
* return new ColMaker<TStats>();
|
|
* });
|
|
* \endcode
|
|
*/
|
|
#define XGBOOST_REGISTER_TREE_UPDATER(UniqueId, Name) \
|
|
static DMLC_ATTRIBUTE_UNUSED ::xgboost::TreeUpdaterReg& \
|
|
__make_ ## TreeUpdaterReg ## _ ## UniqueId ## __ = \
|
|
::dmlc::Registry< ::xgboost::TreeUpdaterReg>::Get()->__REGISTER__(Name)
|
|
|
|
} // namespace xgboost
|
|
#endif // XGBOOST_TREE_UPDATER_H_
|