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Here is a list of all files with brief descriptions:
adaboost.cpp
[code]
adaboost.h
[code]
Declare
AdaBoost
class
adaboost_ecoc.cpp
[code]
adaboost_ecoc.h
[code]
Declare
AdaBoost_ECOC
class
aggregating.cpp
[code]
aggregating.h
[code]
Declare
Aggregating
class
bagging.cpp
[code]
bagging.h
[code]
Declare
Bagging
class
boosting.cpp
[code]
boosting.h
[code]
Declare
Boosting
(AnyBoost) class
cascade.cpp
[code]
cascade.h
[code]
Declare
Cascade
class
cgboost.cpp
[code]
cgboost.h
[code]
Declare
CGBoost
class
cost.h
[code]
Cost functions (functors) used in learning
datafeeder.cpp
[code]
datafeeder.h
[code]
Declare
DataFeeder
class
dataset.h
[code]
Class template
dataset
for wrapping a vector of input-output pairs
feedforwardnn.cpp
[code]
feedforwardnn.h
[code]
Feed-forward neural network
kernel.h
[code]
Kernels for SVM etc
learnmodel.cpp
[code]
learnmodel.h
[code]
Type definitions,
DataSet
, and
LearnModel
class
lpboost.cpp
[code]
lpboost.h
[code]
Declare
LPBoost
class
mgnboost.cpp
[code]
mgnboost.h
[code]
Declare
MgnBoost
class
multiclass_ecoc.cpp
[code]
multiclass_ecoc.h
[code]
Declare
MultiClass_ECOC
(Multiclass classification with Error-Correcting Output Code) class
nnlayer.cpp
[code]
nnlayer.h
[code]
Neural network layer
NNLayer
object.cpp
[code]
object.h
[code]
Object
class,
_register_creator
, and other common types
optimize.h
[code]
Some generic optimization algorithms
perceptron.cpp
[code]
perceptron.h
[code]
Perceptron
class
pulse.cpp
[code]
pulse.h
[code]
Pulse function
class
quickfun.c
[code]
quickfun.h
[code]
random.c
[code]
random.h
[code]
shared_ptr.h
[code]
Shared pointers with reference count
stump.cpp
[code]
stump.h
[code]
Decision stump
class
svm.cpp
[code]
svm.h
[code]
A LEMGA interface to LIBSVM
utility.h
[code]
Some utility functions
vectorop.h
[code]
Add basic arithmetic support to
vector
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