, including all inherited members.
| _classname_() | PLearn::FeatureSetSequentialCRF | [static] |
| _getOptionList_() | PLearn::FeatureSetSequentialCRF | [static] |
| _getRemoteMethodMap_() | PLearn::FeatureSetSequentialCRF | [static] |
| _isa_(const Object *o) | PLearn::FeatureSetSequentialCRF | [static] |
| _new_instance_for_typemap_() | PLearn::FeatureSetSequentialCRF | [static] |
| _static_initialize_() | PLearn::FeatureSetSequentialCRF | [static] |
| _static_initializer_ | PLearn::FeatureSetSequentialCRF | [static] |
| add_affine_transform(Vec input, Mat weights, Vec bias, Vec output, bool input_is_sparse, bool output_is_sparse, Vec output_indices=Vec(0)) const | PLearn::FeatureSetSequentialCRF | [protected] |
| add_transfer_func(const Vec &input, string transfer_func="default") const | PLearn::FeatureSetSequentialCRF | [protected] |
| asString() const | PLearn::Object | [virtual] |
| asStringRemoteTransmit() const | PLearn::Object | [virtual] |
| b1 | PLearn::FeatureSetSequentialCRF | |
| b2 | PLearn::FeatureSetSequentialCRF | |
| b_costs | PLearn::PLearner | [mutable, protected] |
| b_inputs | PLearn::PLearner | [mutable, protected] |
| b_outputs | PLearn::PLearner | [mutable, protected] |
| b_targets | PLearn::PLearner | [mutable, protected] |
| b_weights | PLearn::PLearner | [mutable, protected] |
| batch_size | PLearn::FeatureSetSequentialCRF | |
| batchComputeOutputAndConfidence(VMat inputs, real probability, VMat outputs_and_confidence) const | PLearn::FeatureSetSequentialCRF | [protected, virtual] |
| bias_decay | PLearn::FeatureSetSequentialCRF | |
| bout | PLearn::FeatureSetSequentialCRF | |
| bout_dist_rep | PLearn::FeatureSetSequentialCRF | |
| bprop(Vec &inputv, Vec &outputv, Vec &targetv, Vec &costsv, real learning_rate, real sampleweight=1) | PLearn::FeatureSetSequentialCRF | [protected] |
| build() | PLearn::FeatureSetSequentialCRF | [virtual] |
| build_() | PLearn::FeatureSetSequentialCRF | [private] |
| build_from_train_set() | PLearn::PLearner | [inline, protected, virtual] |
| 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] |
| classification_loss(const Vec &outputv, int target) const | PLearn::FeatureSetSequentialCRF | [private] |
| classname() const | PLearn::FeatureSetSequentialCRF | [virtual] |
| clearProppathGradient() | PLearn::FeatureSetSequentialCRF | [protected] |
| compute_softmax(const Vec &x, const Vec &y) const | PLearn::FeatureSetSequentialCRF | [private] |
| computeConfidenceFromOutput(const Vec &input, const Vec &output, real probability, TVec< pair< real, real > > &intervals) const | PLearn::PLearner | [virtual] |
| computeCostsFromOutputs(const Vec &input, const Vec &output, const Vec &target, Vec &costs) const | PLearn::FeatureSetSequentialCRF | [virtual] |
| computeCostsOnly(const Vec &input, const Vec &target, Vec &costs) const | PLearn::PLearner | [virtual] |
| computeInputOutputConfMat(VMat inputs, real probability) const | PLearn::PLearner | |
| computeInputOutputMat(VMat inputs) const | PLearn::PLearner | |
| computeOutput(const Vec &input, Vec &output) const | PLearn::FeatureSetSequentialCRF | [virtual] |
| computeOutputAndCosts(const Vec &input, const Vec &target, Vec &output, Vec &costs) const | PLearn::FeatureSetSequentialCRF | [virtual] |
| computeOutputConfMat(VMat inputs, real probability) const | PLearn::PLearner | |
| computeOutputCovMat(const Mat &inputs, Mat &outputs, TVec< Mat > &covariance_matrices) const | PLearn::PLearner | [virtual] |
| computeOutputs(const Mat &input, Mat &output) const | PLearn::PLearner | [virtual] |
| computeOutputsAndCosts(const Mat &input, const Mat &target, Mat &output, Mat &costs) const | PLearn::PLearner | [virtual] |
| cost_funcs | PLearn::FeatureSetSequentialCRF | |
| declareMethods(RemoteMethodMap &rmm) | PLearn::PLearner | [protected, static] |
| declareOptions(OptionList &ol) | PLearn::FeatureSetSequentialCRF | [protected, static] |
| declaringFile() | PLearn::FeatureSetSequentialCRF | [inline, static] |
| decrease_constant | PLearn::FeatureSetSequentialCRF | |
| deepCopy(CopiesMap &copies) const | PLearn::FeatureSetSequentialCRF | [virtual] |
| deepCopyNoMap() | PLearn::Object | |
| direct_bout | PLearn::FeatureSetSequentialCRF | |
| direct_in_to_out | PLearn::FeatureSetSequentialCRF | |
| direct_in_to_out_weight_decay | PLearn::FeatureSetSequentialCRF | |
| direct_wout | PLearn::FeatureSetSequentialCRF | |
| dist_rep_dim | PLearn::FeatureSetSequentialCRF | |
| expdir | PLearn::PLearner | |
| f | PLearn::FeatureSetSequentialCRF | [mutable, private] |
| feat_input | PLearn::FeatureSetSequentialCRF | [mutable, protected] |
| feat_sets | PLearn::FeatureSetSequentialCRF | |
| feats | PLearn::FeatureSetSequentialCRF | [mutable, private] |
| feats_since_last_update | PLearn::FeatureSetSequentialCRF | [protected] |
| FeatureSetSequentialCRF() | PLearn::FeatureSetSequentialCRF | |
| fillWeights(const Mat &weights) | PLearn::FeatureSetSequentialCRF | [protected] |
| finalize() | PLearn::PLearner | [virtual] |
| finalized | PLearn::PLearner | |
| fixed_output_weights | PLearn::FeatureSetSequentialCRF | |
| forget() | PLearn::FeatureSetSequentialCRF | [virtual] |
| forget_when_training_set_changes | PLearn::PLearner | [protected] |
| fprop(const Vec &inputv, Vec &outputv, const Vec &targetv, Vec &costsv, real sampleweight=1) const | PLearn::FeatureSetSequentialCRF | [protected] |
| fpropCostsFromOutput(const Vec &inputv, const Vec &outputv, const Vec &targetv, Vec &costsv, real sampleweight=1) const | PLearn::FeatureSetSequentialCRF | [protected] |
| fpropOutput(const Vec &inputv, Vec &outputv) const | PLearn::FeatureSetSequentialCRF | [protected] |
| getExperimentDirectory() const | PLearn::PLearner | [inline] |
| getOption(const string &optionname) const | PLearn::Object | |
| getOptionList() const | PLearn::FeatureSetSequentialCRF | [virtual] |
| getOptionMap() const | PLearn::FeatureSetSequentialCRF | [virtual] |
| getOptionsToRemoteTransmit() const | PLearn::Object | [virtual] |
| getOptionsToSave() const | PLearn::Object | [virtual] |
| getOutputNames() const | PLearn::PLearner | [virtual] |
| getRemoteMethodMap() const | PLearn::FeatureSetSequentialCRF | [virtual] |
| getTestCostIndex(const string &costname) const | PLearn::PLearner | |
| getTestCostNames() const | PLearn::FeatureSetSequentialCRF | [virtual] |
| getTrainCostIndex(const string &costname) const | PLearn::PLearner | |
| getTrainCostNames() const | PLearn::FeatureSetSequentialCRF | [virtual] |
| getTrainingSet() const | PLearn::PLearner | [inline] |
| getTrainStatsCollector() | PLearn::PLearner | [inline] |
| getValidationSet() const | PLearn::PLearner | [inline] |
| grad | PLearn::FeatureSetSequentialCRF | [mutable, private] |
| gradient | PLearn::FeatureSetSequentialCRF | [mutable, private] |
| gradient_act_hidden2v | PLearn::FeatureSetSequentialCRF | [protected] |
| gradient_act_hiddenv | PLearn::FeatureSetSequentialCRF | [protected] |
| gradient_act_outputv | PLearn::FeatureSetSequentialCRF | [protected] |
| gradient_affine_transform(Vec input, Mat weights, Vec bias, Vec ginput, Mat gweights, Vec gbias, Vec goutput, bool input_is_sparse, bool output_is_sparse, real learning_rate, real weight_decay, real bias_decay, Vec output_indices=Vec(0)) | PLearn::FeatureSetSequentialCRF | [protected] |
| gradient_b1 | PLearn::FeatureSetSequentialCRF | |
| gradient_b2 | PLearn::FeatureSetSequentialCRF | |
| gradient_bout | PLearn::FeatureSetSequentialCRF | |
| gradient_bout_dist_rep | PLearn::FeatureSetSequentialCRF | |
| gradient_direct_bout | PLearn::FeatureSetSequentialCRF | |
| gradient_direct_wout | PLearn::FeatureSetSequentialCRF | |
| gradient_feat_input | PLearn::FeatureSetSequentialCRF | [protected] |
| gradient_hidden2v | PLearn::FeatureSetSequentialCRF | [protected] |
| gradient_hiddenv | PLearn::FeatureSetSequentialCRF | [protected] |
| gradient_last_layer | PLearn::FeatureSetSequentialCRF | [mutable, private] |
| gradient_nnet_input | PLearn::FeatureSetSequentialCRF | [protected] |
| gradient_outputv | PLearn::FeatureSetSequentialCRF | [protected] |
| gradient_penalty(Vec input, Mat weights, Vec bias, Mat gweights, Vec gbias, bool input_is_sparse, bool output_is_sparse, real learning_rate, real weight_decay, real bias_decay, Vec output_indices=Vec(0)) | PLearn::FeatureSetSequentialCRF | [protected] |
| gradient_transfer_func(Vec &output, Vec &gradient_input, Vec &gradient_output, string transfer_func="default", int nll_softmax_speed_up_target=-1) | PLearn::FeatureSetSequentialCRF | [protected] |
| gradient_w1 | PLearn::FeatureSetSequentialCRF | |
| gradient_w2 | PLearn::FeatureSetSequentialCRF | |
| gradient_wout | PLearn::FeatureSetSequentialCRF | |
| gradient_wout_dist_rep | PLearn::FeatureSetSequentialCRF | |
| hasOption(const string &optionname) const | PLearn::Object | |
| hidden2v | PLearn::FeatureSetSequentialCRF | [protected] |
| hidden_transfer_func | PLearn::FeatureSetSequentialCRF | |
| hiddenv | PLearn::FeatureSetSequentialCRF | [protected] |
| id | PLearn::FeatureSetSequentialCRF | [mutable, private] |
| ifeats | PLearn::FeatureSetSequentialCRF | [mutable, private] |
| info() const | PLearn::Object | [virtual] |
| inherited typedef | PLearn::FeatureSetSequentialCRF | [private] |
| initialization_method | PLearn::FeatureSetSequentialCRF | |
| initializeParams(bool set_seed=true) | PLearn::FeatureSetSequentialCRF | [protected, virtual] |
| initTrain() | PLearn::PLearner | [protected] |
| inputsize() const | PLearn::PLearner | [virtual] |
| inputsize_ | PLearn::PLearner | [protected] |
| isStatefulLearner() const | PLearn::PLearner | [virtual] |
| last_layer | PLearn::FeatureSetSequentialCRF | [mutable, private] |
| layer1_bias_decay | PLearn::FeatureSetSequentialCRF | |
| layer1_weight_decay | PLearn::FeatureSetSequentialCRF | |
| layer2_bias_decay | PLearn::FeatureSetSequentialCRF | |
| layer2_weight_decay | PLearn::FeatureSetSequentialCRF | |
| load(const PPath &filename) | PLearn::Object | [virtual] |
| makeDeepCopyFromShallowCopy(CopiesMap &copies) | PLearn::FeatureSetSequentialCRF | [virtual] |
| margin | PLearn::FeatureSetSequentialCRF | |
| master_sends_testset_rows | PLearn::PLearner | |
| my_argmax(const Vec &vec, int default_compare=0) const | PLearn::FeatureSetSequentialCRF | [private] |
| n_examples | PLearn::PLearner | [protected] |
| n_feat_sets | PLearn::FeatureSetSequentialCRF | [protected] |
| newread(PStream &in, unsigned int id=UINT_MAX) | PLearn::Object | |
| newwrite(PStream &out) const | PLearn::Object | [virtual] |
| nfeats | PLearn::FeatureSetSequentialCRF | [mutable, private] |
| nhidden | PLearn::FeatureSetSequentialCRF | |
| nhidden2 | PLearn::FeatureSetSequentialCRF | |
| ni | PLearn::FeatureSetSequentialCRF | [mutable, private] |
| nj | PLearn::FeatureSetSequentialCRF | [mutable, private] |
| nk | PLearn::FeatureSetSequentialCRF | [mutable, private] |
| nll(const Vec &outputv, int target) const | PLearn::FeatureSetSequentialCRF | [private] |
| nnet_input | PLearn::FeatureSetSequentialCRF | [protected] |
| nservers | PLearn::PLearner | |
| nstages | PLearn::PLearner | |
| nTestCosts() const | PLearn::PLearner | [virtual] |
| nTrainCosts() const | PLearn::PLearner | [virtual] |
| Object(bool call_build_=false) | PLearn::Object | |
| offset | PLearn::FeatureSetSequentialCRF | [mutable, private] |
| oldread(istream &in) | PLearn::Object | [virtual] |
| output_comp | PLearn::FeatureSetSequentialCRF | [mutable, private] |
| output_gradient_verification(Vec grad, Vec est_grad) | PLearn::FeatureSetSequentialCRF | [protected] |
| output_layer_bias_decay | PLearn::FeatureSetSequentialCRF | |
| output_layer_dist_rep_bias_decay | PLearn::FeatureSetSequentialCRF | |
| output_layer_dist_rep_weight_decay | PLearn::FeatureSetSequentialCRF | |
| output_layer_weight_decay | PLearn::FeatureSetSequentialCRF | |
| output_transfer_func | PLearn::FeatureSetSequentialCRF | |
| outputsize() const | PLearn::FeatureSetSequentialCRF | [virtual] |
| parallelize_here | PLearn::PLearner | |
| 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 | |
| penalty_type | PLearn::FeatureSetSequentialCRF | |
| PLearner() | PLearn::PLearner | |
| possible_targets_vary | PLearn::FeatureSetSequentialCRF | |
| PPointable() | PLearn::PPointable | [inline] |
| PPointable(const PPointable &other) | PLearn::PPointable | [inline] |
| prepareToSendResults(PStream &out, int nres) | PLearn::Object | [static] |
| processDataSet(VMat dataset) const | PLearn::FeatureSetSequentialCRF | [protected, virtual] |
| pval1 | PLearn::FeatureSetSequentialCRF | [mutable, private] |
| pval2 | PLearn::FeatureSetSequentialCRF | [mutable, private] |
| pval3 | PLearn::FeatureSetSequentialCRF | [mutable, private] |
| pval4 | PLearn::FeatureSetSequentialCRF | [mutable, private] |
| pval5 | PLearn::FeatureSetSequentialCRF | [mutable, private] |
| random_gen | PLearn::PLearner | [mutable, protected] |
| read(istream &in) | PLearn::Object | [virtual] |
| readOptionVal(PStream &in, const string &optionname, unsigned int id=UINT_MAX) | PLearn::Object | |
| ref() const | PLearn::PPointable | [inline] |
| reind_target | PLearn::FeatureSetSequentialCRF | [mutable, protected] |
| remote_test(VMat testset, PP< VecStatsCollector > test_stats, bool rtestoutputs, bool rtestcosts) const | PLearn::PLearner | [virtual] |
| remote_useOnTrain() const | PLearn::PLearner | [virtual] |
| report_progress | PLearn::PLearner | |
| resetInternalState() | PLearn::PLearner | [virtual] |
| rgen | PLearn::FeatureSetSequentialCRF | [protected] |
| row | PLearn::FeatureSetSequentialCRF | [mutable, private] |
| run() | PLearn::Object | [virtual] |
| save(const PPath &filename) const | PLearn::Object | [virtual] |
| save_trainingset_prefix | PLearn::PLearner | |
| seed_ | PLearn::PLearner | |
| setExperimentDirectory(const PPath &the_expdir) | PLearn::PLearner | [virtual] |
| setOption(const string &optionname, const string &value) | PLearn::Object | |
| setTrainingSet(VMat training_set, bool call_forget=true) | PLearn::PLearner | [virtual] |
| setTrainStatsCollector(PP< VecStatsCollector > statscol) | PLearn::PLearner | [virtual] |
| setValidationSet(VMat validset) | PLearn::PLearner | [virtual] |
| stage | PLearn::PLearner | |
| start_learning_rate | PLearn::FeatureSetSequentialCRF | |
| stochastic_gradient_descent_speedup | PLearn::FeatureSetSequentialCRF | |
| str | PLearn::FeatureSetSequentialCRF | [mutable, private] |
| sub_test(VMat testset, PP< VecStatsCollector > test_stats, bool rtestoutputs, bool rtestcosts) const | PLearn::PLearner | [virtual] |
| target_values | PLearn::FeatureSetSequentialCRF | [mutable, private] |
| target_values_reference_set | PLearn::FeatureSetSequentialCRF | [mutable, protected] |
| target_values_since_last_update | PLearn::FeatureSetSequentialCRF | [protected] |
| targetsize() const | PLearn::PLearner | [virtual] |
| targetsize_ | PLearn::PLearner | [protected] |
| test(VMat testset, PP< VecStatsCollector > test_stats, VMat testoutputs=0, VMat testcosts=0) const | PLearn::FeatureSetSequentialCRF | [protected, virtual] |
| test_minibatch_size | PLearn::PLearner | |
| total_feats_per_token | PLearn::FeatureSetSequentialCRF | [protected] |
| total_output_size | PLearn::FeatureSetSequentialCRF | [protected] |
| total_updates | PLearn::FeatureSetSequentialCRF | [protected] |
| train() | PLearn::FeatureSetSequentialCRF | [virtual] |
| train_set | PLearn::PLearner | [protected] |
| train_stats | PLearn::PLearner | [protected] |
| unref() const | PLearn::PPointable | [inline] |
| update() | PLearn::FeatureSetSequentialCRF | [protected] |
| update_affine_transform(Vec input, Mat weights, Vec bias, Mat gweights, Vec gbias, bool input_is_sparse, bool output_is_sparse, Vec output_indices) | PLearn::FeatureSetSequentialCRF | [protected] |
| usage() const | PLearn::PPointable | [inline] |
| use(VMat testset, VMat outputs) const | PLearn::FeatureSetSequentialCRF | [protected, virtual] |
| use_a_separate_random_generator_for_testing | PLearn::PLearner | |
| use_input_as_feature | PLearn::FeatureSetSequentialCRF | |
| useOnTrain(Mat &outputs) const | PLearn::PLearner | [virtual] |
| val | PLearn::FeatureSetSequentialCRF | [mutable, private] |
| val2 | PLearn::FeatureSetSequentialCRF | [mutable, private] |
| val_string_reference_set | PLearn::FeatureSetSequentialCRF | [mutable, protected] |
| validation_set | PLearn::PLearner | [protected] |
| verbosity | PLearn::PLearner | |
| verify_gradient(Vec &input, Vec target, real step) | PLearn::FeatureSetSequentialCRF | [protected] |
| verify_gradient_affine_transform(Vec global_input, Vec &global_output, Vec &global_targetv, Vec &global_costs, real sampleweight, Vec input, Mat weights, Vec bias, Mat est_gweights, Vec est_gbias, bool input_is_sparse, bool output_is_sparse, real step, Vec output_indices=Vec(0)) const | PLearn::FeatureSetSequentialCRF | [protected] |
| w1 | PLearn::FeatureSetSequentialCRF | |
| w2 | PLearn::FeatureSetSequentialCRF | |
| weight_decay | PLearn::FeatureSetSequentialCRF | |
| weightsize() const | PLearn::PLearner | [virtual] |
| weightsize_ | PLearn::PLearner | [protected] |
| wout | PLearn::FeatureSetSequentialCRF | |
| wout_dist_rep | PLearn::FeatureSetSequentialCRF | |
| write(ostream &out) const | PLearn::Object | [virtual] |
| writeOptionVal(PStream &out, const string &optionname) const | PLearn::Object | |
| ~FeatureSetSequentialCRF() | PLearn::FeatureSetSequentialCRF | [virtual] |
| ~Object() | PLearn::Object | [virtual] |
| ~PPointable() | PLearn::PPointable | [inline, virtual] |