xgboost::GradientBooster Member List

This is the complete list of members for xgboost::GradientBooster, including all inherited members.

BoostedRounds() const =0	xgboost::GradientBooster	pure virtual
Configure(const std::vector< std::pair< std::string, std::string > > &cfg)=0	xgboost::GradientBooster	pure virtual
Create(const std::string &name, Context const *ctx, LearnerModelParam const *learner_model_param)	xgboost::GradientBooster	static
ctx_	xgboost::GradientBooster	protected
DoBoost(DMatrix *p_fmat, linalg::Matrix< GradientPair > *in_gpair, PredictionCacheEntry *, ObjFunction const *obj)=0	xgboost::GradientBooster	pure virtual
DumpModel(const FeatureMap &fmap, bool with_stats, std::string format) const =0	xgboost::GradientBooster	pure virtual
FeatureScore(std::string const &importance_type, common::Span< int32_t const > trees, std::vector< bst_feature_t > *features, std::vector< float > *scores) const =0	xgboost::GradientBooster	pure virtual
GradientBooster(Context const *ctx)	xgboost::GradientBooster	inlineexplicitprotected
InplacePredict(std::shared_ptr< DMatrix >, float, PredictionCacheEntry *, bst_layer_t, bst_layer_t) const	xgboost::GradientBooster	inlinevirtual
Load(dmlc::Stream *fi)=0	xgboost::GradientBooster	pure virtual
LoadConfig(Json const &in)=0	xgboost::Configurable	pure virtual
LoadModel(Json const &in)=0	xgboost::Model	pure virtual
ModelFitted() const =0	xgboost::GradientBooster	pure virtual
PredictBatch(DMatrix *dmat, PredictionCacheEntry *out_preds, bool training, bst_layer_t begin, bst_layer_t end)=0	xgboost::GradientBooster	pure virtual
PredictContribution(DMatrix *dmat, HostDeviceVector< float > *out_contribs, bst_layer_t layer_begin, bst_layer_t layer_end, bool approximate=false)=0	xgboost::GradientBooster	pure virtual
PredictInstance(const SparsePage::Inst &inst, std::vector< bst_float > *out_preds, unsigned layer_begin, unsigned layer_end)=0	xgboost::GradientBooster	pure virtual
PredictInteractionContributions(DMatrix *dmat, HostDeviceVector< float > *out_contribs, bst_layer_t layer_begin, bst_layer_t layer_end, bool approximate)=0	xgboost::GradientBooster	pure virtual
PredictLeaf(DMatrix *dmat, HostDeviceVector< bst_float > *out_preds, unsigned layer_begin, unsigned layer_end)=0	xgboost::GradientBooster	pure virtual
Save(dmlc::Stream *fo) const =0	xgboost::GradientBooster	pure virtual
SaveConfig(Json *out) const =0	xgboost::Configurable	pure virtual
SaveModel(Json *out) const =0	xgboost::Model	pure virtual
Slice(bst_layer_t, bst_layer_t, bst_layer_t, GradientBooster *, bool *) const	xgboost::GradientBooster	inlinevirtual
UseGPU() const =0	xgboost::GradientBooster	pure virtual
~Configurable()=default	xgboost::Configurable	virtual
~GradientBooster() override=default	xgboost::GradientBooster
~Model()=default	xgboost::Model	virtual