ThunderSVM
ThunderSVM: An Open-Source SVM Library on GPUs and CPUs
- c -
copy_from() :
SyncArray< T >
count() :
DataSet
cross_validation() :
SvmModel
- d -
DataSet() :
DataSet
device_data() :
thunder::SyncMem
diag() :
KernelMatrix
- g -
get_rows() :
KernelMatrix
group_classes() :
DataSet
- h -
host_data() :
thunder::SyncMem
- i -
instances() :
DataSet
- k -
KernelMatrix() :
KernelMatrix
- l -
label() :
DataSet
load_from_file() :
DataSet
,
SvmModel
load_from_python() :
DataSet
- m -
mem_set() :
SyncArray< T >
model_setup() :
SVC
,
SvmModel
- n -
n_features() :
KernelMatrix
n_instances() :
KernelMatrix
nnz() :
KernelMatrix
- o -
original_index() :
DataSet
- p -
predict() :
OneClassSVC
,
SVC
,
SvmModel
predict_dec_values() :
SvmModel
- r -
resize() :
SyncArray< T >
- s -
save_svr_coef() :
SVR
save_to_file() :
SvmModel
set_device_data() :
thunder::SyncMem
set_host_data() :
thunder::SyncMem
size() :
thunder::SyncMem
start() :
DataSet
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
- y -
y() :
DataSet
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