, including all inherited members.
_classname_() | PLearn::ConjGradientOptimizer | [static] |
_getOptionList_() | PLearn::ConjGradientOptimizer | [static] |
_getRemoteMethodMap_() | PLearn::ConjGradientOptimizer | [static] |
_isa_(const Object *o) | PLearn::ConjGradientOptimizer | [static] |
_new_instance_for_typemap_() | PLearn::ConjGradientOptimizer | [static] |
_static_initialize_() | PLearn::ConjGradientOptimizer | [static] |
_static_initializer_ | PLearn::ConjGradientOptimizer | [static] |
asString() const | PLearn::Object | [virtual] |
asStringRemoteTransmit() const | PLearn::Object | [virtual] |
bracket_limit | PLearn::ConjGradientOptimizer | [protected] |
build() | PLearn::ConjGradientOptimizer | [inline, virtual] |
build_() | PLearn::ConjGradientOptimizer | [private] |
call(const string &methodname, int nargs, PStream &io) | 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::ConjGradientOptimizer | [virtual] |
collectGradientStats(const Vec &gradient) | PLearn::Optimizer | |
computeCostAndDerivative(real alpha, real &cost, real &derivative) | PLearn::ConjGradientOptimizer | [protected] |
computeCostValue(real alpha) | PLearn::ConjGradientOptimizer | [protected] |
computeDerivative(real alpha) | PLearn::ConjGradientOptimizer | [protected] |
computeGradient(const Vec &gradient) | PLearn::Optimizer | |
computeOppositeGradient(const Vec &gradient) | PLearn::Optimizer | |
computeRepartition(Vec v, int n, real mini, real maxi, Vec res, int &noutliers) | PLearn::Optimizer | |
ConjGradientOptimizer() | PLearn::ConjGradientOptimizer | |
constrain_limit | PLearn::ConjGradientOptimizer | |
cost | PLearn::Optimizer | |
cubic_a | PLearn::ConjGradientOptimizer | [protected] |
cubic_b | PLearn::ConjGradientOptimizer | [protected] |
current_cost | PLearn::ConjGradientOptimizer | [protected] |
current_opp_gradient | PLearn::ConjGradientOptimizer | [protected] |
declareMethods(RemoteMethodMap &rmm) | PLearn::Optimizer | [protected, static] |
declareOptions(OptionList &ol) | PLearn::ConjGradientOptimizer | [protected, static] |
declaringFile() | PLearn::ConjGradientOptimizer | [inline, static] |
deepCopy(CopiesMap &copies) const | PLearn::ConjGradientOptimizer | [virtual] |
deepCopyNoMap() | PLearn::Object | |
delta | PLearn::ConjGradientOptimizer | [protected] |
early_stop | PLearn::Optimizer | |
expected_red | PLearn::ConjGradientOptimizer | |
findDirection() | PLearn::ConjGradientOptimizer | [protected] |
fun_deriv1 | PLearn::ConjGradientOptimizer | [protected] |
fun_deriv2 | PLearn::ConjGradientOptimizer | [protected] |
fun_eval_count | PLearn::ConjGradientOptimizer | [protected] |
fun_val1 | PLearn::ConjGradientOptimizer | [protected] |
fun_val2 | PLearn::ConjGradientOptimizer | [protected] |
getOption(const string &optionname) const | PLearn::Object | |
getOptionList() const | PLearn::ConjGradientOptimizer | [virtual] |
getOptionMap() const | PLearn::ConjGradientOptimizer | [virtual] |
getOptionsToRemoteTransmit() const | PLearn::Object | [virtual] |
getOptionsToSave() const | PLearn::Object | [virtual] |
getRemoteMethodMap() const | PLearn::ConjGradientOptimizer | [virtual] |
hasOption(const string &optionname) const | PLearn::Object | |
info() const | PLearn::Object | [virtual] |
inherited typedef | PLearn::ConjGradientOptimizer | [private] |
line_search_failed | PLearn::ConjGradientOptimizer | [protected] |
line_search_succeeded | PLearn::ConjGradientOptimizer | [protected] |
lineSearch() | PLearn::ConjGradientOptimizer | [protected] |
load(const PPath &filename) | PLearn::Object | [virtual] |
makeDeepCopyFromShallowCopy(CopiesMap &copies) | PLearn::ConjGradientOptimizer | [virtual] |
max_eval_per_line_search | PLearn::ConjGradientOptimizer | |
max_extrapolate | PLearn::ConjGradientOptimizer | |
minibatch_curpos | PLearn::ConjGradientOptimizer | [protected] |
minibatch_n_line_searches | PLearn::ConjGradientOptimizer | |
minibatch_n_samples | PLearn::ConjGradientOptimizer | |
minimizeLineSearch() | PLearn::ConjGradientOptimizer | [protected] |
newread(PStream &in, unsigned int id=UINT_MAX) | PLearn::Object | |
newwrite(PStream &out) const | PLearn::Object | [virtual] |
no_negative_gamma | PLearn::ConjGradientOptimizer | |
nstages | PLearn::Optimizer | |
Object(bool call_build_=false) | PLearn::Object | |
oldread(istream &in) | PLearn::Object | [virtual] |
optimizeN(VecStatsCollector &stat_coll) | PLearn::ConjGradientOptimizer | [virtual] |
Optimizer() | PLearn::Optimizer | |
other_costs | PLearn::Optimizer | |
other_params | PLearn::Optimizer | |
other_proppaths | PLearn::Optimizer | |
other_weight | PLearn::Optimizer | |
params | PLearn::Optimizer | |
parseOptionName(const string &optionname, Object *&final_object, OptionList::iterator &option_iter, string &option_index) | PLearn::Object | |
parseOptionName(const string &optionname, const Object *&final_object, OptionList::iterator &option_iter, string &option_index) const | PLearn::Object | |
partial_update_vars | PLearn::Optimizer | |
polakRibiere() | PLearn::ConjGradientOptimizer | [protected] |
PPointable() | PLearn::PPointable | [inline] |
PPointable(const PPointable &other) | PLearn::PPointable | [inline] |
prepareToSendResults(PStream &out, int nres) | PLearn::Object | [static] |
proppath | PLearn::Optimizer | |
read(istream &in) | PLearn::Object | [virtual] |
readOptionVal(PStream &in, const string &optionname, unsigned int id=UINT_MAX) | PLearn::Object | |
ref() const | PLearn::PPointable | [inline] |
remote_optimizeN(PP< VecStatsCollector > stats_coll) | PLearn::Optimizer | [inline] |
remote_setToOptimize(const VarArray ¶ms, Var cost) | PLearn::Optimizer | |
reset() | PLearn::ConjGradientOptimizer | [virtual] |
rho | PLearn::ConjGradientOptimizer | |
run() | PLearn::Object | [virtual] |
save(const PPath &filename) const | PLearn::Object | [virtual] |
search_direction | PLearn::ConjGradientOptimizer | [protected] |
setOption(const string &optionname, const string &value) | PLearn::Object | |
setPartialUpdateVars(const VarArray &the_partial_update_vars) | PLearn::Optimizer | [inline, virtual] |
setToOptimize(const VarArray &the_params, Var the_cost, VarArray the_other_costs=VarArray(0), TVec< VarArray > the_other_params=TVec< VarArray >(0), real the_other_weight=1) | PLearn::Optimizer | [virtual] |
sigma | PLearn::ConjGradientOptimizer | |
slope_ratio | PLearn::ConjGradientOptimizer | |
stage | PLearn::Optimizer | |
step1 | PLearn::ConjGradientOptimizer | [protected] |
step2 | PLearn::ConjGradientOptimizer | [protected] |
tmp_storage | PLearn::ConjGradientOptimizer | [protected] |
unref() const | PLearn::PPointable | [inline] |
updateSearchDirection(real gamma) | PLearn::ConjGradientOptimizer | [protected] |
usage() const | PLearn::PPointable | [inline] |
verbosity | PLearn::ConjGradientOptimizer | |
verifyGradient(real minval, real maxval, real step) | PLearn::Optimizer | |
verifyGradient(real step) | PLearn::Optimizer | |
write(ostream &out) const | PLearn::Object | [virtual] |
writeOptionVal(PStream &out, const string &optionname) const | PLearn::Object | |
~Object() | PLearn::Object | [virtual] |
~PPointable() | PLearn::PPointable | [inline, virtual] |