Here is a list of all files with brief descriptions:

[detail level 1234]

doc
▼ src
► data
data.cpp
data.h
transform.cpp
transform.h
types.h
► io
common.cpp
common.h	Building blocks for io procedures that are used by multiple io subsystems
common_test.cpp
model-io.cpp
model-io.h
numpy.cpp
numpy.h
prediction.cpp
prediction.h
slice.cpp
slice.h
test.cpp
weights.cpp
weights.h
xmc.cpp
xmc.h
► model
dense.cpp
dense.h
dense_test.cpp
model.cpp
model.h
sparse.cpp
sparse.h
submodel.h
► objective
dense_and_sparse.cpp
dense_and_sparse.h
generic_linear.cpp
generic_linear.h
linear.cpp
linear.h
margin_losses.h
objective.cpp
objective.h
pointwise.h
reg_sg_hinge_test.cpp
reg_sq_hinge.cpp
reg_sq_hinge.h
reg_sq_hinge_detail.h
regularizers.h
regularizers_imp.cpp
regularizers_imp.h
► parallel
numa.cpp
numa.h
runner.cpp
runner.h
task.h
thread_id.h
► prediction
evaluate.cpp
evaluate.h
metrics.cpp
metrics.h
prediction.cpp
prediction.h
► python
binding.h
py_data.cpp
py_train.cpp
► solver
cg.cpp
cg.h
line_search.cpp
line_search.h
minimizer.cpp
minimizer.h
newton.cpp
newton.h
null.cpp
null.h
► stats
collection.cpp
collection.h
histogram.cpp
histogram.h
stat_id.h
statistics.cpp
statistics.h
stats_base.h
timer.cpp
timer.h
tracked.cpp
tracked.h
► tools
labelstats.cpp
tfidf.cpp
► training
► init
constant.cpp
msi.cpp
multi_pos.cpp
numpy.cpp
ova-primal.cpp
pretrained.cpp
subset.cpp
subset.h
zero.cpp
► postproc
combine.cpp
generic.h
reorder.cpp
sparsify.cpp
cascade.cpp
cascade.h
dismec.cpp
dismec.h
initializer.h
postproc.cpp
postproc.h
spec.h
statistics.cpp
statistics.h
training.cpp
training.h
weighting.cpp
weighting.h
► utils
confusion_matrix.h
conversion.h
eigen_generic.h
fast_sparse_row_iter.h
hash_vector.cpp
hash_vector.h
hyperparams.cpp
hyperparams.h
macros.h
opaque_int.h
sum.h
test_utils.cpp
test_utils.h
throw_error.h
type_helpers.h
app.cpp
app.h
cascade.cpp
config.h	Defines configuration variables
fwd.h	Forward-declares types
matrix_types.h
predict.cpp
pybind.cpp
test.cpp
train.cpp