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Class List
Here are the classes, structs, unions and interfaces with brief descriptions:
[detail level
1
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]
►
N
ACTION_SCORE
C
action_score
C
score_iterator
►
N
Beam
C
beam
C
beam_element
►
N
CB
C
cb_class
C
label
►
N
CB_EVAL
C
label
►
N
CCB
C
conditional_contextual_bandit_outcome
C
label
►
N
COST_SENSITIVE
C
label
C
wclass
►
N
exploration
C
int_float
►
N
ExpReplay
C
expreplay
►
N
GD
C
multipredict_info
►
N
GEN_CS
C
cb_to_cs
C
cb_to_cs_adf
►
N
HookTask
C
task_data
►
N
INTERACTIONS
C
feature_gen_data
►
N
MULTICLASS
C
label_t
►
N
MULTILABEL
C
labels
►
N
Search
C
BaseTask
C
predictor
C
search
C
search_metatask
C
search_task
►
N
std
C
hash< VW::string_view >
►
N
VW
[Error Generator]
►
N
cats_tree
C
cats_tree
C
min_depth_binary_tree
C
node_cost
C
tree_node
►
N
cb_continuous
C
continuous_label
C
continuous_label_elm
►
N
cb_explore_adf
C
cb_explore_adf_base
►
N
config
►
N
is_scalar_impl
C
is_scalar_option_type
C
is_scalar_option_type< std::vector< Args... > >
C
base_option
C
is_scalar_option_type
C
option_group_definition
C
options_boost_po
►
C
options_i
C
is_vector
C
is_vector< std::vector< T, A > >
C
options_name_extractor
C
options_serializer_boost_po
C
options_serializer_i
C
typed_option
C
typelist
►
N
continuous_action
►
N
continuous_actions
C
pdf_segment
C
probability_density_function_value
►
N
details
C
index_sequence
C
make_index_sequence
C
make_index_sequence< 0, Integers... >
C
scope_exit_caller
C
swap_guard_impl
C
swap_guard_impl_rvalue
►
N
distributionally_robust
►
C
ChiSquared
C
Duals
►
N
experimental
C
api_status
Report status of all API calls
►
N
io
►
N
details
C
socket_closer
C
reader
C
socket
C
writer
►
N
LEARNER
Contains the
VW::LEARNER::learner
object and utilities for interacting with it
C
finish_example_data
C
func_data
C
learn_data
C
learner
Defines the interface for a learning algorithm
C
save_load_data
C
sensitivity_data
►
N
offset_tree
C
min_depth_binary_tree
C
offset_tree
C
tree_node
►
N
pmf_to_pdf
C
reduction
►
N
slates
C
label
C
slates_data
C
default_cleanup
C
default_initializer
C
kskip_ngram_transformer
C
named_labels
C
no_lock_object_pool
C
object_pool
C
primitive_feature_space
C
ptr_queue
C
restore_prediction
C
SpanningTree
C
strict_parse_exception
C
v_array_allocator
C
v_array_deleter
C
value_object_pool
C
version_struct
C
vw_argument_disagreement_exception
C
vw_argument_invalid_value_exception
C
vw_exception
C
vw_unrecognised_option_exception
►
N
vw_slim
►
N
internal
C
collection_pair_iterator
C
location_reference
C
location_value
C
example_predict_builder
C
feature_offset_guard
C
model_parser
C
namespace_copy_guard
C
stride_shift_guard
C
vw_predict
Vowpal Wabbit slim predictor. Supports: regression, multi-class classification and contextual bandits
C
active
C
AllReduce
C
AllReduceSockets
C
AllReduceSync
C
AllReduceThreads
C
ArrayState
C
ArrayToVectorState
C
BaseState
C
BoolToBoolState
C
Context
C
Data
C
DecisionServiceInteraction
C
DecisionServiceState
C
DefaultState
C
dense_iterator
C
dense_parameters
C
dictionary_info
C
example
►
C
example_predict
C
iterator
C
ezexample
C
feature
►
C
features
Core definition of a set of features
C
features_value_index_audit_range
Defines a "range" usable by C++ 11 for loops
C
features_value_index_audit_iterator
Iterator over values, indicies and audit space names
C
features_value_index_iterator
Iterator over values and indicies
C
features_value_iterator
Iterator over feature values only
C
flat_example
C
FloatToFloatState
C
IgnoreState
C
input_options
C
io_buf
C
json_parser
C
label_data
C
label_parser
C
LabelIndexState
C
LabelObjectState
C
LabelSinglePropertyState
C
LabelState
C
loss_function
C
MultiState
C
Namespace
C
node_socks
C
parameters
C
parser
C
polylabel
C
polyprediction
C
rand_state
C
shared_data
C
SlotOutcomeList
C
SlotsState
C
sparse_iterator
C
sparse_parameters
C
StringToStringState
C
TagState
C
TextState
C
UIntToUIntState
C
v_array
C
vw
C
vw_logger
C
vw_namespace
C
vw_ostream
C
VWReaderHandler
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