| _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] |
| adapt_coeff1 | PLearn::AdaptGradientOptimizer | |
| adapt_coeff2 | PLearn::AdaptGradientOptimizer | |
| adapt_every | PLearn::AdaptGradientOptimizer | |
| AdaptGradientOptimizer(real the_start_learning_rate=0.01, real the_decrease_constant=0, real the_min_learning_rate=0.001, real the_max_learning_rate=0.02, int the_learning_rate_adaptation=0, real the_adapt_coeff1=0, real the_adapt_coeff2=0, int n_updates=1, const string &filename="", int every_iterations=1) | PLearn::AdaptGradientOptimizer | |
| AdaptGradientOptimizer(VarArray the_params, Var the_cost, real the_start_learning_rate=0.01, real the_decrease_constant=0, real the_min_learning_rate=0.001, real the_max_learning_rate=0.02, int the_learning_rate_adaptation=0, real the_adapt_coeff1=0, real the_adapt_coeff2=0, int n_updates=1, const string &filename="", int every_iterations=1) | PLearn::AdaptGradientOptimizer | |
| AdaptGradientOptimizer(VarArray the_params, Var the_cost, VarArray update_for_measure, real the_start_learning_rate=0.01, real the_decrease_constant=0, real the_min_learning_rate=0.001, real the_max_learning_rate=0.02, int the_learning_rate_adaptation=0, real the_adapt_coeff1=0, real the_adapt_coeff2=0, int n_updates=1, const string &filename="", int every_iterations=1) | PLearn::AdaptGradientOptimizer | |
| adaptLearningRateALAP1(Vec old_gradient, Vec new_gradient) | PLearn::AdaptGradientOptimizer | [private] |
| adaptLearningRateBasic(Vec old_params, Vec new_evol) | PLearn::AdaptGradientOptimizer | [private] |
| adaptLearningRateVariance() | PLearn::AdaptGradientOptimizer | [private] |
| addMeasurer(Measurer &measurer) | PLearn::Optimizer | |
| build() | PLearn::AdaptGradientOptimizer | [inline, virtual] |
| build_() | PLearn::AdaptGradientOptimizer | [private] |
| 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 | |
| count_updates | PLearn::AdaptGradientOptimizer | [private] |
| declareOptions(OptionList &ol) | PLearn::AdaptGradientOptimizer | [protected, static] |
| decrease_constant | PLearn::AdaptGradientOptimizer | |
| deepCopy(CopiesMap &copies) const | PLearn::Object | [virtual] |
| early_stop | PLearn::Optimizer | |
| early_stop_i | PLearn::Optimizer | |
| 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::AdaptGradientOptimizer | [private] |
| info() const | PLearn::Object | [virtual] |
| inherited typedef | PLearn::AdaptGradientOptimizer | [private] |
| init() | PLearn::Optimizer | [inline, virtual] |
| learning_rate | PLearn::AdaptGradientOptimizer | |
| learning_rate_adaptation | PLearn::AdaptGradientOptimizer | |
| learning_rates | PLearn::AdaptGradientOptimizer | [private] |
| load(const string &filename) | PLearn::Object | [virtual] |
| makeDeepCopyFromShallowCopy(CopiesMap &copies) | PLearn::AdaptGradientOptimizer | [inline, virtual] |
| PLearn::Optimizer::makeDeepCopyFromShallowCopy(map< const void *, void * > &copies) | PLearn::Optimizer | [virtual] |
| max_learning_rate | PLearn::AdaptGradientOptimizer | |
| measure(int t, const Vec &costs) | PLearn::Optimizer | [virtual] |
| measurers | PLearn::Optimizer | [protected] |
| min_learning_rate | PLearn::AdaptGradientOptimizer | |
| mini_batch | PLearn::AdaptGradientOptimizer | |
| newread(PStream &in) | PLearn::Object | |
| newwrite(PStream &out) const | PLearn::Object | |
| nstages | PLearn::Optimizer | |
| nupdates | PLearn::Optimizer | |
| Object() | PLearn::Object | |
| old_evol | PLearn::AdaptGradientOptimizer | [private] |
| oldgradientlocations | PLearn::AdaptGradientOptimizer | [private] |
| oldread(istream &in) | PLearn::Optimizer | [virtual] |
| oldwrite(ostream &out) const | PLearn::Optimizer | [virtual] |
| optimize() | PLearn::AdaptGradientOptimizer | [virtual] |
| optimizeN(VecStatsCollector &stats_coll) | PLearn::AdaptGradientOptimizer | [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 | |
| PLEARN_DECLARE_OBJECT(AdaptGradientOptimizer) | PLearn::AdaptGradientOptimizer | |
| 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] |
| reset() | PLearn::Optimizer | [virtual] |
| run() | PLearn::Object | [virtual] |
| save(const string &filename) const | PLearn::Object | [virtual] |
| 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] |
| stage | PLearn::Optimizer | |
| start_learning_rate | PLearn::AdaptGradientOptimizer | |
| stochastic_hack | PLearn::AdaptGradientOptimizer | [private] |
| store_grad | PLearn::AdaptGradientOptimizer | [private] |
| store_quad_grad | PLearn::AdaptGradientOptimizer | [private] |
| store_var_grad | PLearn::AdaptGradientOptimizer | [private] |
| tmp_storage | PLearn::AdaptGradientOptimizer | [private] |
| 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] |
