ThunderSVM
ThunderSVM: An Open-Source SVM Library on GPUs and CPUs
Here is a list of all documented class members with links to the class documentation for each member:
- c -
C :
SvmParam
coef :
SvmModel
coef0 :
SvmParam
copy_from() :
SyncArray< T >
count() :
DataSet
cross_validation() :
SvmModel
- d -
DataSet() :
DataSet
degree :
SvmParam
device_data() :
thunder::SyncMem
diag() :
KernelMatrix
- e -
epsilon :
SvmParam
- g -
gamma :
SvmParam
get_rows() :
KernelMatrix
group_classes() :
DataSet
- h -
HEAD :
thunder::SyncMem
host_data() :
thunder::SyncMem
- i -
instances() :
DataSet
- k -
KERNEL_TYPE :
SvmParam
KernelMatrix() :
KernelMatrix
- l -
label() :
DataSet
,
SvmModel
load_from_file() :
DataSet
,
SvmModel
load_from_python() :
DataSet
- m -
mem_set() :
SyncArray< T >
model_setup() :
SVC
,
SvmModel
- n -
n_binary_models :
SvmModel
n_classes :
SvmModel
n_features() :
KernelMatrix
n_instances() :
KernelMatrix
n_sv :
SvmModel
n_total_sv :
SvmModel
nnz() :
KernelMatrix
nr_weight :
SvmParam
nu :
SvmParam
- o -
original_index() :
DataSet
- p -
p :
SvmParam
predict() :
OneClassSVC
,
SVC
,
SvmModel
predict_dec_values() :
SvmModel
probA :
SvmModel
probability :
SvmParam
probB :
SvmModel
- r -
resize() :
SyncArray< T >
rho :
SvmModel
- s -
save_svr_coef() :
SVR
save_to_file() :
SvmModel
set_device_data() :
thunder::SyncMem
set_host_data() :
thunder::SyncMem
size() :
thunder::SyncMem
start() :
DataSet
sv :
SvmModel
SVM_TYPE :
SvmParam
SyncArray() :
SyncArray< T >
SyncMem() :
thunder::SyncMem
- t -
to_device() :
thunder::SyncMem
to_host() :
thunder::SyncMem
train() :
NuSVR
,
OneClassSVC
,
SVC
,
SvmModel
,
SVR
train_binary() :
NuSVC
,
SVC
- w -
weight :
SvmParam
weight_label :
SvmParam
- y -
y() :
DataSet
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