, 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] |