Go to the documentation of this file.
16 #include <unordered_map>
41 std::weak_ptr< DMatrix >
ref;
56 std::unordered_map<DMatrix *, PredictionCacheEntry> container_;
57 void ClearExpiredEntries();
120 virtual void Configure(
const std::vector<std::pair<std::string, std::string>>&);
133 virtual void PredictBatch(DMatrix* dmat, PredictionCacheEntry* out_preds,
134 const gbm::GBTreeModel& model,
int tree_begin,
135 uint32_t
const ntree_limit = 0) = 0;
146 virtual void InplacePredict(dmlc::any
const &x,
const gbm::GBTreeModel &model,
147 float missing, PredictionCacheEntry *out_preds,
148 uint32_t tree_begin = 0, uint32_t tree_end = 0)
const = 0;
162 std::vector<bst_float>* out_preds,
163 const gbm::GBTreeModel& model,
164 unsigned ntree_limit = 0) = 0;
176 virtual void PredictLeaf(DMatrix* dmat, HostDeviceVector<bst_float>* out_preds,
177 const gbm::GBTreeModel& model,
178 unsigned ntree_limit = 0) = 0;
200 HostDeviceVector<bst_float>* out_contribs,
201 const gbm::GBTreeModel& model,
202 unsigned ntree_limit = 0,
203 std::vector<bst_float>* tree_weights =
nullptr,
204 bool approximate =
false,
206 unsigned condition_feature = 0) = 0;
209 HostDeviceVector<bst_float>* out_contribs,
210 const gbm::GBTreeModel& model,
211 unsigned ntree_limit = 0,
212 std::vector<bst_float>* tree_weights =
nullptr,
213 bool approximate =
false) = 0;
223 std::string
const& name, GenericParameter
const* generic_param);
230 :
public dmlc::FunctionRegEntryBase<
231 PredictorReg, std::function<Predictor*(GenericParameter const*)>> {};
233 #define XGBOOST_REGISTER_PREDICTOR(UniqueId, Name) \
234 static DMLC_ATTRIBUTE_UNUSED ::xgboost::PredictorReg& \
235 __make_##PredictorReg##_##UniqueId##__ = \
236 ::dmlc::Registry<::xgboost::PredictorReg>::Get()->__REGISTER__(Name)
virtual void InplacePredict(dmlc::any const &x, const gbm::GBTreeModel &model, float missing, PredictionCacheEntry *out_preds, uint32_t tree_begin=0, uint32_t tree_end=0) const =0
Inplace prediction.
virtual ~Predictor()=default
virtual void Configure(const std::vector< std::pair< std::string, std::string >> &)
Configure and register input matrices in prediction cache.
Contains pointer to input matrix and associated cached predictions.
Definition: predictor.h:35
PredictionContainer()=default
Definition: generic_parameters.h:15
PredictionCacheEntry & Cache(std::shared_ptr< DMatrix > m, int32_t device)
void Update(uint32_t v)
Definition: predictor.h:48
A device-and-host vector abstraction layer.
virtual void PredictInteractionContributions(DMatrix *dmat, HostDeviceVector< bst_float > *out_contribs, const gbm::GBTreeModel &model, unsigned ntree_limit=0, std::vector< bst_float > *tree_weights=nullptr, bool approximate=false)=0
virtual void PredictBatch(DMatrix *dmat, PredictionCacheEntry *out_preds, const gbm::GBTreeModel &model, int tree_begin, uint32_t const ntree_limit=0)=0
Generate batch predictions for a given feature matrix. May use cached predictions if available instea...
defines configuration macros of xgboost.
uint32_t version
Definition: predictor.h:39
common::Span< Entry const > Inst
an instance of sparse vector in the batch
Definition: data.h:253
Internal data structured used by XGBoost during training.
Definition: data.h:454
virtual void PredictContribution(DMatrix *dmat, HostDeviceVector< bst_float > *out_contribs, const gbm::GBTreeModel &model, unsigned ntree_limit=0, std::vector< bst_float > *tree_weights=nullptr, bool approximate=false, int condition=0, unsigned condition_feature=0)=0
feature contributions to individual predictions; the output will be a vector of length (nfeats + 1) *...
Definition: predictor.h:55
PredictionCacheEntry & Entry(DMatrix *m)
HostDeviceVector< bst_float > predictions
Definition: predictor.h:37
Predictor(GenericParameter const *generic_param)
Definition: predictor.h:111
decltype(container_) const & Container()
PredictionCacheEntry()=default
GenericParameter const * generic_param_
Definition: predictor.h:108
virtual void PredictLeaf(DMatrix *dmat, HostDeviceVector< bst_float > *out_preds, const gbm::GBTreeModel &model, unsigned ntree_limit=0)=0
predict the leaf index of each tree, the output will be nsample * ntree vector this is only valid in ...
The input data structure of xgboost.
Registry entry for predictor.
Definition: predictor.h:229
static Predictor * Create(std::string const &name, GenericParameter const *generic_param)
Creates a new Predictor*.
virtual void PredictInstance(const SparsePage::Inst &inst, std::vector< bst_float > *out_preds, const gbm::GBTreeModel &model, unsigned ntree_limit=0)=0
online prediction function, predict score for one instance at a time NOTE: use the batch prediction i...
Performs prediction on individual training instances or batches of instances for GBTree....
Definition: predictor.h:103
std::weak_ptr< DMatrix > ref
Definition: predictor.h:41
namespace of xgboost
Definition: base.h:110