PLearn::ScaledGradientOptimizer Member List

This is the complete list of members for PLearn::ScaledGradientOptimizer, including all inherited members.

_classname_()	PLearn::Object	[static]
_getOptionList_()	PLearn::Object	[static]
_isa_(Object *o)	PLearn::Object	[static]
_new_instance_for_typemap_()	PLearn::Object	[static]
_static_initialize_()	PLearn::Object	[static]
_static_initializer_	PLearn::Object	[static]
addMeasurer(Measurer &measurer)	PLearn::Optimizer
build()	PLearn::Optimizer	[virtual]
call(const string &methodname, int nargs, PStream &in_parameters, PStream &out_results)	PLearn::Object	[virtual]
changeOption(const string &optionname, const string &value)	PLearn::Object
changeOptions(const map< string, string > &name_value)	PLearn::Object	[virtual]
classname() const	PLearn::Object	[virtual]
collectGradientStats(Vec gradient)	PLearn::Optimizer
computeGradient(Optimizer *opt, const Vec &gradient)	PLearn::Optimizer	[static]
computeOppositeGradient(Optimizer *opt, const Vec &gradient)	PLearn::Optimizer	[static]
computeRepartition(Vec v, int n, real mini, real maxi, Vec res, int &noutliers)	PLearn::Optimizer
cost	PLearn::Optimizer
declareOptions(OptionList &ol)	PLearn::Optimizer	[protected, static]
decrease_constant	PLearn::ScaledGradientOptimizer
deepCopy(CopiesMap &copies) const	PLearn::Object	[virtual]
early_stop	PLearn::Optimizer
early_stop_i	PLearn::Optimizer
eps_scale	PLearn::ScaledGradientOptimizer
every	PLearn::Optimizer
filename	PLearn::Optimizer	[protected]
getOption(const string &optionname) const	PLearn::Object
getOptionList() const	PLearn::Object	[virtual]
getOptionsToSave() const	PLearn::Object	[virtual]
gradient	PLearn::ScaledGradientOptimizer	[protected]
info() const	PLearn::Object	[virtual]
init()	PLearn::Optimizer	[inline, virtual]
init_learning_rate	PLearn::ScaledGradientOptimizer
learning_rate	PLearn::ScaledGradientOptimizer
load(const string &filename)	PLearn::Object	[virtual]
long_time_ma	PLearn::ScaledGradientOptimizer	[protected]
long_time_mac	PLearn::ScaledGradientOptimizer	[protected]
long_time_md	PLearn::ScaledGradientOptimizer	[protected]
long_time_mv	PLearn::ScaledGradientOptimizer	[protected]
makeDeepCopyFromShallowCopy(map< const void *, void * > &copies)	PLearn::Optimizer	[virtual]
PLearn::Object::makeDeepCopyFromShallowCopy(CopiesMap &copies)	PLearn::Object	[virtual]
measure(int t, const Vec &costs)	PLearn::Optimizer	[virtual]
measurers	PLearn::Optimizer	[protected]
newread(PStream &in)	PLearn::Object
newwrite(PStream &out) const	PLearn::Object
nstages	PLearn::Optimizer
nupdates	PLearn::Optimizer
Object()	PLearn::Object
oldread(istream &in)	PLearn::Optimizer	[virtual]
oldwrite(ostream &out) const	PLearn::Optimizer	[virtual]
optimize()	PLearn::ScaledGradientOptimizer	[virtual]
optimizeN(VecStatsCollector &stats_coll)=0	PLearn::Optimizer	[pure virtual]
Optimizer(int n_updates=1, const string &file_name="", int every_iterations=1)	PLearn::Optimizer
Optimizer(VarArray the_params, Var the_cost, int n_updates=1, const string &file_name="", int every_iterations=1)	PLearn::Optimizer
Optimizer(VarArray the_params, Var the_cost, VarArray the_update_for_measure, int n_updates=1, const string &file_name="", int every_iterations=1)	PLearn::Optimizer
params	PLearn::Optimizer
PLEARN_DECLARE_ABSTRACT_OBJECT(Optimizer)	PLearn::Optimizer
PPointable()	PLearn::PPointable	[inline]
PPointable(const PPointable &other)	PLearn::PPointable	[inline]
prepareToSendResults(PStream &out, int nres)	PLearn::Object	[inline, protected]
print(ostream &out) const	PLearn::Object	[virtual]
proppath	PLearn::Optimizer
read(istream &in)	PLearn::Object	[virtual]
readOptionVal(PStream &in, const string &optionname)	PLearn::Object
ref() const	PLearn::PPointable	[inline]
regularizer	PLearn::ScaledGradientOptimizer	[protected]
reset()	PLearn::Optimizer	[virtual]
run()	PLearn::Object	[virtual]
save(const string &filename) const	PLearn::Object	[virtual]
ScaledGradientOptimizer(VarArray the_params, Var the_cost, real the_start_learning_rate=0.01, real the_decrease_constant=0.01, real the_init_learning_rate=0.003, int n_updates=1, real short_time_moving_avg_coef=0.01, real long_time_moving_avg_coef=0.001, real the_regularizer=1.0, const string &filename="", int every_iterations=1)	PLearn::ScaledGradientOptimizer	[inline]
ScaledGradientOptimizer(VarArray the_params, Var the_cost, real the_start_learning_rate=0.01, real the_decrease_constant=0.01, int n_updates=1, real short_time_moving_avg_coef=0.01, real long_time_moving_avg_coef=0.001, real the_regularizer=1.0, const string &filename="", int every_iterations=1)	PLearn::ScaledGradientOptimizer	[inline]
setOption(const string &optionname, const string &value)	PLearn::Object
setToOptimize(VarArray the_params, Var the_cost)	PLearn::Optimizer	[virtual]
setVarArrayOption(const string &optionname, VarArray value)	PLearn::Optimizer	[virtual]
setVarOption(const string &optionname, Var value)	PLearn::Optimizer	[virtual]
setVMatOption(const string &optionname, VMat value)	PLearn::Optimizer	[virtual]
short_time_ma	PLearn::ScaledGradientOptimizer	[protected]
short_time_mac	PLearn::ScaledGradientOptimizer	[protected]
stage	PLearn::Optimizer
start_learning_rate	PLearn::ScaledGradientOptimizer
unref() const	PLearn::PPointable	[inline]
update_for_measure	PLearn::Optimizer
usage() const	PLearn::PPointable	[inline]
verifyGradient(real minval, real maxval, real step)	PLearn::Optimizer
verifyGradient(real step)	PLearn::Optimizer
vlog	PLearn::Optimizer
write(ostream &out) const	PLearn::Object	[virtual]
writeOptionVal(PStream &out, const string &optionname) const	PLearn::Object
~Object()	PLearn::Object	[virtual]
~Optimizer()	PLearn::Optimizer	[virtual]
~PPointable()	PLearn::PPointable	[inline, virtual]

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