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nightly (25.02)
nightly (25.02)
stable (24.12)
legacy (24.10)
Namespace List
Here is a list of all namespaces with brief descriptions:
[detail level
1
2
3
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5
]
▼
N
cuml
►
N
genetic
C
param
All the hyper-parameters for training
C
node
Represents a node in the syntax tree
C
program
The main data structure to store the AST that represents a program in the current generation
▼
N
ML
►
N
CD
N
opg
N
Datasets
►
N
Dbscan
►
N
AdjGraph
C
Pack
►
N
VertexDeg
C
Pack
►
N
DT
C
DecisionTreeParams
C
TreeMetaDataNode
C
Dataset
C
Quantiles
C
TreeliteType
C
TreeliteType< float >
C
TreeliteType< double >
C
TreeliteType< uint32_t >
C
TreeliteType< int >
►
N
experimental
►
N
fil
►
N
detail
N
device_initialization
N
inference
C
bitset
C
model_builder_error
C
decision_forest_builder
C
specialization_types
C
traversal_container
C
postproc_params_t
C
decision_forest
C
forest
►
C
node
C
value_type
C
postprocessor
C
unusable_model_exception
C
model_import_error
C
type_error
C
forest_model
►
C
treelite_importer
C
treelite_node
►
N
Explainer
C
TreePathInfo
►
N
fil
C
forest
C
treelite_params_t
►
N
GLM
N
opg
►
N
HDBSCAN
►
N
Common
C
CondensedHierarchy
C
RobustSingleLinkageParams
C
HDBSCANParams
C
robust_single_linkage_output
C
hdbscan_output
C
PredictionData
►
N
detail
N
Utils
N
HELPER
C
FixConnectivitiesRedOp
N
HoltWinters
►
N
Internals
C
Callback
C
GraphBasedDimRedCallback
►
N
kmeans
N
opg
►
N
KNN
N
opg
►
N
Metrics
N
Batched
►
N
OLS
N
opg
►
N
PCA
N
opg
►
N
Ridge
N
opg
►
N
Solver
N
Lars
N
Sparse
N
Spectral
N
Stationarity
►
N
SVM
C
LinearSVMParams
C
LinearSVMModel
C
SVC
C-Support Vector Classification
C
SupportStorage
C
SvmModel
C
SvmParameter
C
SmoSolver
Solve the quadratic optimization problem using two level decomposition and Sequential Minimal Optimization (SMO)
C
WorkingSet
►
N
TSVD
N
opg
N
UMAP
C
Logger
The main Logging class for cuML library
C
PatternSetter
RAII based pattern setter for
Logger
class
C
pinned_host_vector
C
params
C
paramsSolver
C
paramsTSVDTemplate
C
paramsPCATemplate
Structure for pca parameters. Ref:
http://scikit-learn.org/stable/modules/generated/sklearn.decomposition.PCA.html
C
RF_metrics
C
RF_params
C
RandomForestMetaData
C
knn_graph
C
manifold_inputs_t
C
manifold_dense_inputs_t
C
manifold_sparse_inputs_t
C
manifold_precomputed_knn_inputs_t
C
TSNEParams
C
UMAPParams
C
knnIndex
C
knnIndexParam
C
IVFParam
C
IVFFlatParam
C
IVFPQParam
C
paramsRPROJ
C
rand_mat
C
ARIMAOrder
C
ARIMAParams
C
ARIMAMemory
C
OptimParams
C
HandleMap
C
SimpleDenseMat
C
SimpleMat
C
SimpleVec
C
SimpleVecOwning
C
SimpleMatOwning
C
SimpleSparseMat
▼
N
MLCommon
►
N
Datasets
N
Boston
N
BreastCancer
N
Diabetes
N
Digits
►
N
LinAlg
C
ThreadDiffSquaredAdd
Template performing matrix diff-squared-add operation within a thread
C
ThreadL1NormAdd
Template performing matrix L1-norm operation within a thread
N
Matrix
C
TimerCPU
▼
N
raft
C
cufft_error
Exception thrown when a cuFFT error is encountered
C
CuFFTHandle
▼
N
raft_proto
►
N
detail
C
device_id
C
device_id< device_type::cpu >
C
device_id< device_type::gpu >
C
device_setter
C
device_setter< device_type::gpu >
C
host_only_throw
C
host_only_throw< T, true >
C
non_owning_buffer
C
owning_buffer
C
owning_buffer< device_type::cpu, T >
C
owning_buffer< device_type::gpu, T >
C
buffer
A container which may or may not own its own data on host or device
C
bad_cuda_call
C
out_of_bounds
C
wrong_device_type
C
mem_type_mismatch
C
wrong_device
C
gpu_unsupported
C
handle_t
▼
N
spdlog
►
N
sinks
C
CallbackSink
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