mvpa2.kernels.sg.RealFeatures

class mvpa2.kernels.sg.RealFeatures

shogun::CDenseFeatures< float64_t >

Attributes

io
m_gradient_parameters
m_hash
m_model_selection_parameters
m_parameter_map
m_parameters
parallel
this
thisown
version

Methods

acquire	acquires ownership of the pointer
add_preprocessor(p)
add_subset(subset)
append	appends another ‘this’ object
apply_preprocessor(...)	apply_preprocessor() -> bool
benchmark_add_to_dense_vector([repeats])
benchmark_dense_dot_range([repeats])
build_gradient_parameter_dictionary(dict)
check_feature_compatibility((f) -> bool)
clean_preprocessors()
clone(() -> SGObject)
compute_cov((lhs, rhs) -> RealMatrix)
copy_feature_matrix(src)
copy_subset((indices) -> Features)
create_merged_copy((other) -> Features)	create_merged_copy(other) -> Features
deep_copy(() -> SGObject)
del_preprocessor(num)
dense_dot_sgvec((vec_idx1, vec2) -> float64_t)
disown	releases ownership of the pointer
dot((vec_idx1, df, vec_idx2) -> float64_t)
duplicate(() -> Features)
equals((other[, accuracy])	equals(other) -> bool
free_feature_matrix()
free_features()
frombuffer((exporter, copy) -> int)
get_cache_size(() -> int32_t)
get_combined_feature_weight(() -> float64_t)
get_computed_dot_feature_matrix(() -> RealMatrix)
get_computed_dot_feature_vector(...)
get_cov(() -> RealMatrix)
get_dim_feature_space(() -> int32_t)
get_feature_class(() -> shogun::EFeatureClass)
get_feature_matrix(() -> RealMatrix)
get_feature_type(() -> shogun::EFeatureType)
get_feature_vector((num) -> RealVector)
get_global_io(() -> SGIO)
get_global_parallel(() -> Parallel)
get_global_version(() -> Version)
get_mean(() -> RealVector)	get_mean(lhs, rhs) -> RealVector
get_modelsel_names(() -> CharStringList)
get_modsel_param_descr((param_name) -> char \*)
get_modsel_param_index((param_name) -> index_t)
get_name(() -> char const \*)
get_nnz_features_for_vector((num) -> int32_t)
get_num_features(() -> int32_t)
get_num_preprocessed(() -> int32_t)
get_num_preprocessors(() -> int32_t)
get_num_vectors(() -> int32_t)
get_preprocessor((num) -> Preprocessor)
get_subset_stack(() -> CSubsetStack \*)
get_transposed(() -> RealFeatures)
has_property((p) -> bool)
initialize_cache()
is_equal((rhs) -> bool)
is_generic((generic) -> bool)
is_preprocessed((num) -> bool)
list_feature_obj()
list_preprocessors()
load(loader)
load_all_file_parameters((file_version, ...)	load_all_file_parameters(file_version, current_version, file) -> shogun::DynArray< shogun::TParameter * >
load_file_parameters((param_info, ...[, prefix])	load_file_parameters(param_info, file_version, file) -> shogun::DynArray< shogun::TParameter * >
load_serializable((file[, prefix, param_version])	load_serializable(file, prefix=””) -> bool
map_parameters(param_base, base_version, ...)
next	returns the next ‘this’ object
obtain_from_dot(df)
obtain_from_generic(...)
own	returns/sets ownership of the pointer
print_modsel_params()
print_serializable([prefix])
ref_count(() -> int32_t)
remove_all_subsets()
remove_subset()
reshape((num_features, num_vectors) -> bool)
save(writer)
save_serializable((file[, prefix, param_version])	save_serializable(file, prefix=””) -> bool
set_combined_feature_weight(nw)
set_feature_matrix(matrix)
set_feature_vector(vector, num)
set_global_io(io)
set_global_parallel(parallel)
set_global_version(version)
set_num_features(num)
set_num_vectors(num)
set_preprocessed(num)
set_property(p)
shallow_copy(() -> SGObject)
steal_feature_matrix(() -> RealMatrix)
subset_changed_post()
unset_generic()
unset_property(p)
update_parameter_hash(() -> bool)

apply_preprocessor(force_preprocessing=False) → bool

apply_preprocessor() -> bool

copy_feature_matrix(src)

create_merged_copy(other) → Features

create_merged_copy(other) -> Features

free_feature_matrix()

free_features()

frombuffer(exporter, copy) → int

get_feature_matrix() → RealMatrix

get_feature_vector(num) → RealVector

get_num_features() → int32_t

get_transposed() → RealFeatures

initialize_cache()

is_equal(rhs) → bool

obtain_from_dot(df)

static obtain_from_generic(base_features) → RealFeatures

set_feature_matrix(matrix)

set_feature_vector(vector, num)

set_num_features(num)

set_num_vectors(num)

steal_feature_matrix() → RealMatrix

this

thisown