Index

A

a_net (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) acce_noTrick() (in module SNN2.src.model.losses.categorical) (in module src.model.losses.categorical) acf() (in module SNN2.src.plot.plot_functions) (in module src.plot.plot_functions) ACModelHandler (class in SNN2.src.model.reinforcement.ActorCritic) (class in src.model.reinforcement.ActorCritic) action() (in module SNN2.src.decorators.decorators) (in module SNN2.src.params.paramWrapper) (in module src.decorators.decorators) (in module src.params.paramWrapper) action_selector() (in module SNN2.src.actions.actionWrapper) (in module src.actions.actionWrapper) activate_metric() (in module SNN2.src.model.callbacks.activate_metric) (in module src.model.callbacks.activate_metric) activation_key (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) ActorCriticEmb (class in SNN2.src.model.embeddings.embeddings) (class in src.model.embeddings.embeddings) ActorCriticModel (class in SNN2.src.model.custom.ActorCriticModel) (class in src.model.custom.ActorCriticModel) adam_strength_key (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) add_cluster() (SNN2.src.model.layers.tf_cure.tree.tf_rtree method) (src.model.layers.tf_cure.tree.tf_rtree method)

add_clusters() (SNN2.src.model.layers.tf_cure.tree.tf_rtree method) (src.model.layers.tf_cure.tree.tf_rtree method) add_window_column() (in module SNN2.src.actions.dataFrame) (in module src.actions.dataFrame) aggregate() (SNN2.src.model.reinforcement.RL_actorCritic.RL_AC_manager method) (SNN2.src.model.reinforcement.RL_actorCritic_intermidiate.RL_AC_manager_intermidiate method) (src.model.reinforcement.RL_actorCritic.RL_AC_manager method) (src.model.reinforcement.RL_actorCritic_intermidiate.RL_AC_manager_intermidiate method) all_grays (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) all_times (SNN2.src.contextManagers.contextManagers.TimeitContext attribute) (src.contextManagers.contextManagers.TimeitContext attribute) append() (SNN2.src.model.replayMemory.mem.ReplayMemory method) (SNN2.src.util.dataManger.DataManager method) (src.model.replayMemory.mem.ReplayMemory method) (src.util.dataManger.DataManager method) appendix_key (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) apply_post_operations() (in module SNN2.src.actions.kaggleDst) (in module src.actions.kaggleDst) apply_rep_compression() (SNN2.src.model.layers.tf_cure.tf_cluster.tf_clusters method) (src.model.layers.tf_cure.tf_cluster.tf_clusters method) apply_sort() (SNN2.src.model.layers.CURELayer.tf_cluster.TfClusters method) (src.model.layers.CURELayer.tf_cluster.TfClusters method) applyRequests() (in module SNN2.src.actions.windowing) (in module src.actions.windowing)

B

bads_cls (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) bads_trg (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) bads_wdw (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) bads_wdw_norm (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) BalanceSeparationNG() (in module SNN2.src.actions.separation) (in module src.actions.separation) balancingConcatenateNG() (in module SNN2.src.actions.separation) (in module src.actions.separation)

bar() (in module SNN2.src.plot.plot_functions) (in module src.plot.plot_functions) (SNN2.src.io.progressBar.pb class method) (src.io.progressBar.pb class method) batch_size_key (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) best_closest() (SNN2.src.model.layers.tf_cure.tf_cluster.tf_clusters method) (src.model.layers.tf_cure.tf_cluster.tf_clusters method) bf_key (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) boxplot() (in module SNN2.src.plot.plot_functions) (in module src.plot.plot_functions)

C

c_logger() (in module SNN2.src.decorators.decorators) (in module src.decorators.decorators) calculate_confusion_matrix() (in module SNN2.src.model.RLObservationPP.clsCmExp) (in module SNN2.src.model.RLObservationPP.cmExpansion) (in module src.model.RLObservationPP.clsCmExp) (in module src.model.RLObservationPP.cmExpansion) (SNN2.src.model.reinforcement.RL_actorCritic.RL_AC_manager method) (SNN2.src.model.reinforcement.RL_actorCritic_intermidiate.RL_AC_manager_intermidiate method) (src.model.reinforcement.RL_actorCritic.RL_AC_manager method) (src.model.reinforcement.RL_actorCritic_intermidiate.RL_AC_manager_intermidiate method) calculate_reward() (SNN2.src.model.reinforcement.ActorCritic.ACModelHandler method) (SNN2.src.model.reinforcement.reinforcement.RLModelHandler method) (SNN2.src.model.reinforcement.RL_actorCritic.RL_AC_manager method) (src.model.reinforcement.ActorCritic.ACModelHandler method) (src.model.reinforcement.reinforcement.RLModelHandler method) (src.model.reinforcement.RL_actorCritic.RL_AC_manager method) call() (SNN2.src.model.custom.ActorCriticModel.ActorCriticModel method) (SNN2.src.model.custom.classification.ClassificationModel method) (SNN2.src.model.custom.siamese.SiameseModel method) (SNN2.src.model.custom.siamese_reps.SiameseModelRepeat method) (SNN2.src.model.layers.distanceLayer.ContrastiveDistance method) (SNN2.src.model.layers.distanceLayer.distance method) (SNN2.src.model.layers.distanceLayer.mahalanobis_distance method) (src.model.custom.ActorCriticModel.ActorCriticModel method) (src.model.custom.classification.ClassificationModel method) (src.model.custom.siamese.SiameseModel method) (src.model.custom.siamese_reps.SiameseModelRepeat method) (src.model.layers.distanceLayer.ContrastiveDistance method) (src.model.layers.distanceLayer.distance method) (src.model.layers.distanceLayer.mahalanobis_distance method) Callable_param (class in SNN2.src.params.parameters) (class in src.params.parameters) callback() (in module SNN2.src.params.paramWrapper) (in module src.params.paramWrapper) Callback_Selector() (in module SNN2.src.model.callbacks.callbacksWrapper) (in module src.model.callbacks.callbacksWrapper) callbacks_par (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) cat() (in module SNN2.src.plot.plot_functions) (in module src.plot.plot_functions) categoricalCrossentropy() (in module SNN2.src.model.losses.categorical) (in module src.model.losses.categorical) categoricalCrossentropyApple() (in module SNN2.src.model.losses.categorical) (in module src.model.losses.categorical) categoricalCrossentropyAppleNoSigmoid() (in module SNN2.src.model.losses.categorical) (in module src.model.losses.categorical) categoricalMatrix() (in module SNN2.src.model.losses.parameters) (in module src.model.losses.parameters) cb_earlyStopping (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) cb_ModelCheckpoint (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) cb_swap (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) cc() (SNN2.src.model.layers.CURELayer.tf_CURE.TfCURE method) (src.model.layers.CURELayer.tf_CURE.TfCURE method) ccb() (in module SNN2.src.decorators.decorators) (in module src.decorators.decorators) cclayer() (in module SNN2.src.decorators.decorators) (in module src.decorators.decorators) cembedding() (in module SNN2.src.decorators.decorators) (in module src.decorators.decorators) cflow() (in module SNN2.src.decorators.decorators) (in module src.decorators.decorators) cFunc() (in module SNN2.src.model.reward.accuracyMap) (in module src.model.reward.accuracyMap) chain_histories() (in module SNN2.src.util.helper) (in module src.util.helper) check() (SNN2.src.io.IOHandler.IOHandler method) (SNN2.src.io.pickleHandler.PickleHandler method) (src.io.IOHandler.IOHandler method) (src.io.pickleHandler.PickleHandler method) check_df_not_none() (in module SNN2.src.actions.actionWrapper) (in module src.actions.actionWrapper) checkpoints_path (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) ClassificationEnv (class in SNN2.src.model.managers.ClassificationEnv) (class in src.model.managers.ClassificationEnv) ClassificationModel (class in SNN2.src.model.custom.classification) (class in src.model.custom.classification) clayer() (in module SNN2.src.decorators.decorators) (in module src.decorators.decorators) clear() (SNN2.src.io.directories.DirectoryHandler class method) (SNN2.src.model.replayMemory.mem.ReplayMemory method) (src.io.directories.DirectoryHandler class method) (src.model.replayMemory.mem.ReplayMemory method) closest (SNN2.src.model.layers.CURELayer.tf_cluster.TfCluster property) (SNN2.src.model.layers.tf_cure.tf_cluster.tf_clusters property) (src.model.layers.CURELayer.tf_cluster.TfCluster property) (src.model.layers.tf_cure.tf_cluster.tf_clusters property) cls_wrapper() (in module SNN2.src.params.paramWrapper) (in module src.params.paramWrapper) clusters (SNN2.src.model.layers.CURELayer.algorithm.TfCURE property) (SNN2.src.model.layers.CURELayer.tf_CURE.TfCURE property) (SNN2.src.model.layers.tf_cure.cure.TfCURE property) (SNN2.src.model.layers.tf_cure.tf_cluster.tf_clusters property) (src.model.layers.CURELayer.algorithm.TfCURE property) (src.model.layers.CURELayer.tf_CURE.TfCURE property) (src.model.layers.tf_cure.cure.TfCURE property) (src.model.layers.tf_cure.tf_cluster.tf_clusters property)

cmExpansion() (in module SNN2.src.model.RLObservationPP.cmExpansion) (in module src.model.RLObservationPP.cmExpansion) cmExpansionNorm() (in module SNN2.src.model.RLObservationPP.cmExpansion) (in module src.model.RLObservationPP.cmExpansion) cmodel() (in module SNN2.src.decorators.decorators) (in module src.decorators.decorators) collector() (in module SNN2.src.decorators.decorators) (in module src.decorators.decorators) compile() (SNN2.src.model.managers.ClassificationEnv.ClassificationEnv method) (SNN2.src.model.managers.SiameseEnv.SiameseEnv method) (SNN2.src.model.modelHandler.DefaultModelHandler method) (src.model.managers.ClassificationEnv.ClassificationEnv method) (src.model.managers.SiameseEnv.SiameseEnv method) (src.model.modelHandler.DefaultModelHandler method) compression_factor (SNN2.src.model.layers.tf_cure.cure.TfCURE property) (src.model.layers.tf_cure.cure.TfCURE property) compute_centroids() (in module SNN2.src.actions.embeddings) (in module src.actions.embeddings) compute_closest() (SNN2.src.model.layers.CURELayer.tf_cluster.TfClusters method) (SNN2.src.model.layers.tf_cure.tf_cluster.tf_clusters method) (src.model.layers.CURELayer.tf_cluster.TfClusters method) (src.model.layers.tf_cure.tf_cluster.tf_clusters method) compute_dayofweek() (in module SNN2.src.actions.dataFrame) (in module src.actions.dataFrame) compute_dst() (in module SNN2.src.model.layers.tf_cure.tf_cluster) (in module src.model.layers.tf_cure.tf_cluster) compute_inv_cov_matrix() (SNN2.src.model.layers.distanceLayer.mahalanobis_distance method) (src.model.layers.distanceLayer.mahalanobis_distance method) compute_lag_features() (in module SNN2.src.actions.dataFrame) (in module src.actions.dataFrame) compute_representors() (SNN2.src.model.layers.CURELayer.algorithm.TfCluster method) (SNN2.src.model.layers.CURELayer.tf_cluster.TfCluster method) (SNN2.src.model.layers.tf_cure.tf_cluster.tf_clusters method) (src.model.layers.CURELayer.algorithm.TfCluster method) (src.model.layers.CURELayer.tf_cluster.TfCluster method) (src.model.layers.tf_cure.tf_cluster.tf_clusters method) compute_reward() (SNN2.src.model.reinforcement.RL_actorCritic_intermidiate.RL_AC_manager_intermidiate method) (src.model.reinforcement.RL_actorCritic_intermidiate.RL_AC_manager_intermidiate method) compute_roll_features() (in module SNN2.src.actions.dataFrame) (in module src.actions.dataFrame) compute_sub_idx() (in module SNN2.src.core.gray.grayWrapper) (in module src.core.gray.grayWrapper) ConcatenateNG() (in module SNN2.src.actions.separation) (in module src.actions.separation) conf() (in module SNN2.src.environment.conf) (in module src.environment.conf) ConfHandler (class in SNN2.src.io.configuration) (class in src.io.configuration) ContrastiveDistance (class in SNN2.src.model.layers.distanceLayer) (class in src.model.layers.distanceLayer) conv2D() (in module SNN2.src.model.layers.layersWrapper) (in module src.model.layers.layersWrapper) convert() (in module SNN2.src.core.gray.grayWrapper) (in module SNN2.src.model.reward.accuracyMap) (in module SNN2.src.model.reward.clsAcc) (in module SNN2.src.model.RLObservationPP.clsCmExp) (in module SNN2.src.model.RLObservationPP.cmExpansion) (in module SNN2.src.model.RLPerfEvaluation.clsRewExit) (in module SNN2.src.model.RLPerfEvaluation.correlation) (in module SNN2.src.model.RLPerfEvaluation.rewardExit) (in module src.core.gray.grayWrapper) (in module src.model.reward.accuracyMap) (in module src.model.reward.clsAcc) (in module src.model.RLObservationPP.clsCmExp) (in module src.model.RLObservationPP.cmExpansion) (in module src.model.RLPerfEvaluation.clsRewExit) (in module src.model.RLPerfEvaluation.correlation) (in module src.model.RLPerfEvaluation.rewardExit) correlation() (in module SNN2.src.model.RLPerfEvaluation.correlation) (in module src.model.RLPerfEvaluation.correlation) create_kdtree() (SNN2.src.model.layers.CURELayer.tf_CURE.TfCURE method) (src.model.layers.CURELayer.tf_CURE.TfCURE method) create_queue() (SNN2.src.model.layers.CURELayer.algorithm.TfCURE method) (SNN2.src.model.layers.CURELayer.tf_CURE.TfCURE method) (src.model.layers.CURELayer.algorithm.TfCURE method) (src.model.layers.CURELayer.tf_CURE.TfCURE method) create_rtree() (SNN2.src.model.layers.CURELayer.tf_CURE.TfCURE method) (src.model.layers.CURELayer.tf_CURE.TfCURE method) CRITICAL (SNN2.src.io.logger.LogHandler attribute) (src.io.logger.LogHandler attribute) csv_help (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) csv_path (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) csvLogger() (in module SNN2.src.model.callbacks.callbacksWrapper) (in module src.model.callbacks.callbacksWrapper) CustomModel_selector() (in module SNN2.src.model.custom.customWrapper) (in module src.model.custom.customWrapper) cv_thr (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute)

D

data (SNN2.src.model.layers.tf_cure.cure.TfCURE property) (src.model.layers.tf_cure.cure.TfCURE property) data_drop_features (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) data_features (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) data_key (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) data_limit (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) data_object (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) data_override (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) data_par (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) data_path (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) data_train_prt (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) data_val_prt (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) data_vmaf_threshold (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) data_window (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) DataManager (class in SNN2.src.util.dataManger) (class in src.util.dataManger) DEBUG (SNN2.src.io.logger.LogHandler attribute) (src.io.logger.LogHandler attribute) default() (in module SNN2.src.model.fit.fitWrapper) (in module SNN2.src.model.RLPerfEvaluation.correlation) (in module src.model.fit.fitWrapper) (in module src.model.RLPerfEvaluation.correlation) default_conf (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) defaultEmb (class in SNN2.src.model.embeddings.embeddings) (class in src.model.embeddings.embeddings) DefaultModelHandler (class in SNN2.src.model.modelHandler) (class in src.model.modelHandler) define_model() (SNN2.src.model.modelHandler.DefaultModelHandler method) (src.model.modelHandler.DefaultModelHandler method) define_model_inputs() (SNN2.src.model.managers.ClassificationEnv.ClassificationEnv method) (SNN2.src.model.managers.SiameseEnv.SiameseEnv method) (src.model.managers.ClassificationEnv.ClassificationEnv method) (src.model.managers.SiameseEnv.SiameseEnv method) define_model_output() (SNN2.src.model.managers.ClassificationEnv.ClassificationEnv method) (SNN2.src.model.managers.SiameseEnv.SiameseEnv method) (src.model.managers.ClassificationEnv.ClassificationEnv method) (src.model.managers.SiameseEnv.SiameseEnv method) define_object() (SNN2.src.io.IOHandler.IOHandler method) (src.io.IOHandler.IOHandler method)

dense() (in module SNN2.src.model.layers.layersWrapper) (in module src.model.layers.layersWrapper) detect() (SNN2.src.io.files.FileHandler static method) (src.io.files.FileHandler static method) df_none() (in module SNN2.src.actions.dataFrame) (in module src.actions.dataFrame) dimension (SNN2.src.model.layers.CURELayer.tf_CURE.TfCURE property) (SNN2.src.model.layers.tf_cure.cure.TfCURE property) (src.model.layers.CURELayer.tf_CURE.TfCURE property) (src.model.layers.tf_cure.cure.TfCURE property) DirectoryHandler (class in SNN2.src.io.directories) (class in src.io.directories) discounted_sum() (SNN2.src.model.reinforcement.RL_actorCritic.RL_AC_manager method) (SNN2.src.model.reinforcement.RL_actorCritic_intermidiate.RL_AC_manager_intermidiate method) (src.model.reinforcement.RL_actorCritic.RL_AC_manager method) (src.model.reinforcement.RL_actorCritic_intermidiate.RL_AC_manager_intermidiate method) displot() (in module SNN2.src.plot.plot_functions) (in module src.plot.plot_functions) distance (class in SNN2.src.model.layers.distanceLayer) (class in src.model.layers.distanceLayer) distance_closest (SNN2.src.model.layers.CURELayer.tf_cluster.TfCluster property) (src.model.layers.CURELayer.tf_cluster.TfCluster property) distanceAccuracy (class in SNN2.src.model.metrics.metrics) (class in src.model.metrics.metrics) distances (SNN2.src.model.layers.tf_cure.tf_cluster.tf_clusters property) (src.model.layers.tf_cure.tf_cluster.tf_clusters property) distplot() (in module SNN2.src.plot.plot_functions) (in module src.plot.plot_functions) draw_heatmap() (in module SNN2.src.plot.plot_functions) (in module src.plot.plot_functions) drop_anomalous() (in module SNN2.src.actions.dataFrame) (in module src.actions.dataFrame) drop_not_anomalous() (in module SNN2.src.actions.dataFrame) (in module src.actions.dataFrame) dropColumns() (in module SNN2.src.actions.dataFrame) (in module src.actions.dataFrame) dropNaN() (in module SNN2.src.actions.dataFrame) (in module src.actions.dataFrame) dropout() (in module SNN2.src.model.layers.layersWrapper) (in module src.model.layers.layersWrapper) dropOutliers() (in module SNN2.src.actions.dataFrame) (in module src.actions.dataFrame) dst() (SNN2.src.model.layers.CURELayer.tf_cluster.TfCluster method) (src.model.layers.CURELayer.tf_cluster.TfCluster method) dst2tensor() (in module SNN2.src.util.helper) (in module src.util.helper) dump() (SNN2.src.model.replayMemory.mem.ReplayMemory method) (src.model.replayMemory.mem.ReplayMemory method) durationSeparation() (in module SNN2.src.actions.actionWrapper) (in module src.actions.actionWrapper)

E

earlyStopping() (in module SNN2.src.model.callbacks.callbacksWrapper) (in module src.model.callbacks.callbacksWrapper) ecdf() (in module SNN2.src.plot.plot_functions) (in module src.plot.plot_functions) (SNN2.src.plot.plotter.plotter method) (src.plot.plotter.plotter method) emb_grays (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) embedding() (in module SNN2.src.params.paramWrapper) (in module src.params.paramWrapper) Embedding_selector() (in module SNN2.src.model.embeddings.embeddingsWrapper) (in module src.model.embeddings.embeddingsWrapper) emulatedBlackHole() (in module SNN2.src.model.reward.accuracyMap) (in module src.model.reward.accuracyMap) env_par (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) env_rng (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) env_tf_rng (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) environment() (in module SNN2.src.params.paramWrapper) (in module src.params.paramWrapper) epochs_key (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) epochs_switch_loss (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) ERROR (SNN2.src.io.logger.LogHandler attribute) (src.io.logger.LogHandler attribute) es_delta (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) es_patience (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) es_restore (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) evaluate_obj() (SNN2.src.io.IOHandler.IOHandler method) (src.io.IOHandler.IOHandler method) evaluate_objs() (SNN2.src.io.IOHandler.IOHandler method) (src.io.IOHandler.IOHandler method) evaluate_path() (SNN2.src.io.IOHandler.IOHandler method) (src.io.IOHandler.IOHandler method) evaluate_performances() (SNN2.src.model.reinforcement.RL_actorCritic.RL_AC_manager method) (SNN2.src.model.reinforcement.RL_actorCritic_intermidiate.RL_AC_manager_intermidiate method) (src.model.reinforcement.RL_actorCritic.RL_AC_manager method) (src.model.reinforcement.RL_actorCritic_intermidiate.RL_AC_manager_intermidiate method) execute() (in module SNN2.src.environment.conf) (in module src.environment.conf) (SNN2.src.core.data.flow.flow_operations.MVNO.MVNOFlow method) (SNN2.src.core.data.flow.MVNO.MVNOFlow method) (SNN2.src.core.data.flow.MVNO_extended.MVNOFlow_extended method) (SNN2.src.core.data.flow.MVNO_inference.MVNOFlow_inference method) (SNN2.src.core.data.flow.mvno_updated.MVNOFlow_smartMemory method) (SNN2.src.core.data.flow.NetCat.NetCatFlow method) (SNN2.src.core.data.flow.VMAF.VMAFFlow method) (src.core.data.flow.flow_operations.MVNO.MVNOFlow method) (src.core.data.flow.MVNO.MVNOFlow method) (src.core.data.flow.MVNO_extended.MVNOFlow_extended method) (src.core.data.flow.MVNO_inference.MVNOFlow_inference method) (src.core.data.flow.mvno_updated.MVNOFlow_smartMemory method) (src.core.data.flow.NetCat.NetCatFlow method) (src.core.data.flow.VMAF.VMAFFlow method)

execute_action() (SNN2.src.model.managers.ClassificationEnv.ClassificationEnv method) (SNN2.src.model.managers.SiameseEnv.SiameseEnv method) (src.model.managers.ClassificationEnv.ClassificationEnv method) (src.model.managers.SiameseEnv.SiameseEnv method) execute_episode() (SNN2.src.model.reinforcement.ActorCritic.ACModelHandler method) (SNN2.src.model.reinforcement.reinforcement.RLModelHandler method) (src.model.reinforcement.ActorCritic.ACModelHandler method) (src.model.reinforcement.reinforcement.RLModelHandler method) execute_train() (SNN2.src.model.reinforcement.RL_actorCritic.RL_AC_manager method) (SNN2.src.model.reinforcement.RL_actorCritic_intermidiate.RL_AC_manager_intermidiate method) (src.model.reinforcement.RL_actorCritic.RL_AC_manager method) (src.model.reinforcement.RL_actorCritic_intermidiate.RL_AC_manager_intermidiate method) execution_time (SNN2.src.contextManagers.contextManagers.TimeitContext attribute) (src.contextManagers.contextManagers.TimeitContext attribute) exists() (SNN2.src.io.files.FileHandler static method) (src.io.files.FileHandler static method) exp_input_dataset (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) exp_sp_metric (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) exp_verbose (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) exp_vmaf_flag (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) expectation (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) experiment() (in module SNN2.src.params.paramWrapper) (in module src.params.paramWrapper) experiment_key (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) expph_grouping_key (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) expph_triplet_gen (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) extend_path() (SNN2.src.io.files.FileHandler static method) (src.io.files.FileHandler static method)

F

f_logger() (in module SNN2.src.decorators.decorators) (in module src.decorators.decorators) FakeReinforceFixedAction() (in module SNN2.src.model.callbacks.FakeReinforceFixedAction) (in module src.model.callbacks.FakeReinforceFixedAction) fastBlackHole() (in module SNN2.src.model.reward.accuracyMap) (in module src.model.reward.accuracyMap) FastReplayMemory() (in module SNN2.src.model.callbacks.FastReplayMemory) (in module src.model.callbacks.FastReplayMemory) featureMax() (in module SNN2.src.actions.actionWrapper) (in module src.actions.actionWrapper) featureMean() (in module SNN2.src.actions.actionWrapper) (in module src.actions.actionWrapper) featureMin() (in module SNN2.src.actions.actionWrapper) (in module src.actions.actionWrapper) features (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) featureStd() (in module SNN2.src.actions.actionWrapper) (in module src.actions.actionWrapper) file_obj_types (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) FileHandler (class in SNN2.src.io.files) (class in src.io.files) files (SNN2.src.io.directories.DirectoryHandler property) (src.io.directories.DirectoryHandler property) find_zone() (in module SNN2.src.model.reward.accuracyMap) (in module src.model.reward.accuracyMap) findLL() (SNN2.src.io.logger.LogHandler class method) (src.io.logger.LogHandler class method) fit() (SNN2.src.model.custom.siamese_reps.SiameseModelRepeat method) (src.model.custom.siamese_reps.SiameseModelRepeat method) Fit_Selector() (in module SNN2.src.model.fit.fitWrapper) (in module src.model.fit.fitWrapper) fitMethod (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute)

fitMethod() (in module SNN2.src.decorators.decorators) (in module SNN2.src.params.paramWrapper) (in module src.decorators.decorators) (in module src.params.paramWrapper) flag_anomaly_windows() (in module SNN2.src.actions.windowing) (in module src.actions.windowing) flag_windows() (in module SNN2.src.actions.separation) (in module SNN2.src.core.gray.grayWrapper) (in module src.actions.separation) (in module src.core.gray.grayWrapper) flatten() (in module SNN2.src.model.layers.layersWrapper) (in module src.model.layers.layersWrapper) flow() (in module SNN2.src.params.paramWrapper) (in module src.params.paramWrapper) Flow_Selector() (in module SNN2.src.core.data.flow.aggregator) (in module src.core.data.flow.aggregator) fn() (in module SNN2.src.io.commandInterpolation) (in module SNN2.src.model.losses.loss) (in module SNN2.src.model.losses.parameters) (in module src.io.commandInterpolation) (in module src.model.losses.loss) (in module src.model.losses.parameters) FN_confusion_matrix (class in SNN2.src.model.metrics.MNO_cm) (class in src.model.metrics.MNO_cm) folder_obj_types (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) folderPath (SNN2.src.io.files.FileHandler property) (src.io.files.FileHandler property) FP_confusion_matrix (class in SNN2.src.model.metrics.MNO_cm) (class in src.model.metrics.MNO_cm) freeze_layers() (SNN2.src.model.managers.SiameseEnv.SiameseEnv method) (src.model.managers.SiameseEnv.SiameseEnv method) from_cfg() (SNN2.src.io.IOHandler.IOHandler class method) (src.io.IOHandler.IOHandler class method)

G

generateExpectationMatrix() (in module SNN2.src.actions.dataFrame) (in module src.actions.dataFrame) generateExpectationMatrixMNIST() (in module SNN2.src.actions.dataFrame) (in module src.actions.dataFrame) GenerateGrayTriplets() (in module SNN2.src.actions.actionWrapper) (in module src.actions.actionWrapper) generateImgTriplets() (in module SNN2.src.actions.dataFrame) (in module src.actions.dataFrame) generateImgUnrelatedGroups() (in module SNN2.src.actions.dataFrame) (in module src.actions.dataFrame) generateKaggleCategorical() (in module SNN2.src.actions.kaggleDst) (in module src.actions.kaggleDst) generateKaggleTriplets() (in module SNN2.src.actions.kaggleDst) (in module src.actions.kaggleDst) generatePredictionTriplets() (in module SNN2.src.actions.actionWrapper) (in module src.actions.actionWrapper) generatePredictionTripletsReverse() (in module SNN2.src.actions.actionWrapper) (in module src.actions.actionWrapper) generateTriplets() (in module SNN2.src.actions.actionWrapper) (in module src.actions.actionWrapper) generateTripletsMNIST() (in module SNN2.src.actions.dataFrame) (in module src.actions.dataFrame) generateTripletsNG() (in module SNN2.src.actions.actionWrapper) (in module src.actions.actionWrapper) generateUnrelatedGroupsMNIST() (in module SNN2.src.actions.dataFrame) (in module src.actions.dataFrame) generic() (in module SNN2.src.params.paramWrapper) (in module src.params.paramWrapper) generic_cm_object (class in SNN2.src.model.metrics.MNO_cm) (class in src.model.metrics.MNO_cm) get() (SNN2.src.io.files.FileHandler method) (SNN2.src.io.IOHandler.IOHandler method) (SNN2.src.model.layers.CURELayer.tf_cluster.TfClusters method) (src.io.files.FileHandler method) (src.io.IOHandler.IOHandler method) (src.model.layers.CURELayer.tf_cluster.TfClusters method) get_action() (SNN2.src.model.reinforcement.ActorCritic.ACModelHandler method) (SNN2.src.model.reinforcement.reinforcement.RLModelHandler method) (src.model.reinforcement.ActorCritic.ACModelHandler method) (src.model.reinforcement.reinforcement.RLModelHandler method) get_correct_wrong() (SNN2.src.model.reinforcement.reinforcement.RLModelHandler method) (src.model.reinforcement.reinforcement.RLModelHandler method) get_correlation() (in module SNN2.src.model.RLPerfEvaluation.correlation) (in module src.model.RLPerfEvaluation.correlation) get_distances() (SNN2.src.model.custom.classification.ClassificationModel method) (SNN2.src.model.custom.siamese.SiameseModel method) (SNN2.src.model.custom.siamese_reps.SiameseModelRepeat method) (src.model.custom.classification.ClassificationModel method) (src.model.custom.siamese.SiameseModel method) (src.model.custom.siamese_reps.SiameseModelRepeat method) get_emb() (in module SNN2.src.core.gray.grayWrapper) (in module src.core.gray.grayWrapper) get_furthest() (SNN2.src.model.layers.CURELayer.algorithm.TfCluster method) (src.model.layers.CURELayer.algorithm.TfCluster method) get_handler() (SNN2.src.io.IOHandler.IOHandler method) (src.io.IOHandler.IOHandler method) get_idx() (SNN2.src.model.layers.tf_cure.tf_cluster.tf_clusters method) (src.model.layers.tf_cure.tf_cluster.tf_clusters method) get_margin_chainging_point() (in module SNN2.src.model.RLPerfEvaluation.correlation) (in module src.model.RLPerfEvaluation.correlation) get_margin_values() (SNN2.src.model.reinforcement.RL_actorCritic.RL_AC_manager method) (SNN2.src.model.reinforcement.RL_actorCritic_intermidiate.RL_AC_manager_intermidiate method) (src.model.reinforcement.RL_actorCritic.RL_AC_manager method) (src.model.reinforcement.RL_actorCritic_intermidiate.RL_AC_manager_intermidiate method) get_object() (SNN2.src.model.metrics.MNO_cm.FN_confusion_matrix method) (SNN2.src.model.metrics.MNO_cm.FP_confusion_matrix method) (SNN2.src.model.metrics.MNO_cm.generic_cm_object method) (SNN2.src.model.metrics.MNO_cm.TN_confusion_matrix method) (SNN2.src.model.metrics.MNO_cm.TP_confusion_matrix method) (SNN2.src.model.metrics.MNO_cm.U_confusion_matrix method) (src.model.metrics.MNO_cm.FN_confusion_matrix method) (src.model.metrics.MNO_cm.FP_confusion_matrix method) (src.model.metrics.MNO_cm.generic_cm_object method) (src.model.metrics.MNO_cm.TN_confusion_matrix method) (src.model.metrics.MNO_cm.TP_confusion_matrix method) (src.model.metrics.MNO_cm.U_confusion_matrix method) get_probabilities_values() (SNN2.src.model.reinforcement.RL_actorCritic.RL_AC_manager method) (SNN2.src.model.reinforcement.RL_actorCritic_intermidiate.RL_AC_manager_intermidiate method) (src.model.reinforcement.RL_actorCritic.RL_AC_manager method) (src.model.reinforcement.RL_actorCritic_intermidiate.RL_AC_manager_intermidiate method) get_randomGray() (in module SNN2.src.actions.actionWrapper) (in module src.actions.actionWrapper) get_realName() (in module SNN2.src.contextManagers.contextManagers) (in module SNN2.src.decorators.decorators) (in module src.contextManagers.contextManagers) (in module src.decorators.decorators) get_rl_controller() (in module SNN2.src.model.fit.fitWrapper) (in module src.model.fit.fitWrapper) get_state() (SNN2.src.model.managers.ClassificationEnv.ClassificationEnv method) (SNN2.src.model.managers.SiameseEnv.SiameseEnv method) (src.model.managers.ClassificationEnv.ClassificationEnv method) (src.model.managers.SiameseEnv.SiameseEnv method)

get_triplet() (SNN2.src.core.data.flow.flow_operations.MVNO.MVNOFlow method) (SNN2.src.core.data.flow.MVNO.MVNOFlow method) (SNN2.src.core.data.flow.MVNO_extended.MVNOFlow_extended method) (SNN2.src.core.data.flow.VMAF.VMAFFlow method) (src.core.data.flow.flow_operations.MVNO.MVNOFlow method) (src.core.data.flow.MVNO.MVNOFlow method) (src.core.data.flow.MVNO_extended.MVNOFlow_extended method) (src.core.data.flow.VMAF.VMAFFlow method) get_weights() (SNN2.src.model.modelHandler.DefaultModelHandler method) (src.model.modelHandler.DefaultModelHandler method) glob_dst() (in module SNN2.src.model.layers.CURELayer.tf_cluster) (in module src.model.layers.CURELayer.tf_cluster) GoodBad_randomGray() (in module SNN2.src.actions.actionWrapper) (in module src.actions.actionWrapper) GoodBadGraySeparation() (in module SNN2.src.actions.actionWrapper) (in module src.actions.actionWrapper) goods_cls (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) goods_trg (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) goods_wdw (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) goods_wdw_norm (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) gray_afterFit (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) gray_afterFit_cure_netReset (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) gray_afterFit_netReset (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) gray_anchor_only (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) gray_checkpoint (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) gray_default (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) gray_generateEmb (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) gray_in_train_portion (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) gray_inf_rep (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) gray_inference (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) gray_post_train_portion (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) Gray_Selector() (in module SNN2.src.core.gray.grayWrapper) (in module src.core.gray.grayWrapper) gray_update() (in module SNN2.src.core.gray.grayWrapper) (in module src.core.gray.grayWrapper) gray_update_margin() (in module SNN2.src.core.gray.grayWrapper) (in module src.core.gray.grayWrapper) gray_update_margin_freeze() (in module SNN2.src.core.gray.grayWrapper) (in module src.core.gray.grayWrapper) gray_update_margin_general() (in module SNN2.src.core.gray.grayWrapper) (in module src.core.gray.grayWrapper) gray_update_margin_general_cure() (in module SNN2.src.core.gray.grayWrapper) (in module src.core.gray.grayWrapper) grayEvMethod (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) grayEvolution() (in module SNN2.src.params.paramWrapper) (in module src.params.paramWrapper) grays() (in module SNN2.src.model.fit.fitWrapper) (in module src.model.fit.fitWrapper) grays_cls (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) grays_trg (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) grays_wdw (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) grays_wdw_norm (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) graysAfterFit() (in module SNN2.src.model.fit.fitWrapper) (in module src.model.fit.fitWrapper) graysAfterFit_modelCheckpoint() (in module SNN2.src.model.fit.fitWrapper) (in module src.model.fit.fitWrapper) graysAfterFit_netReset() (in module SNN2.src.model.fit.fitWrapper) (in module src.model.fit.fitWrapper) graysAfterFit_netReset_RLLast() (in module SNN2.src.model.fit.fitWrapper) (in module src.model.fit.fitWrapper) graysAfterFit_netReset_RLnoFirst() (in module SNN2.src.model.fit.fitWrapper) (in module src.model.fit.fitWrapper) graysAfterFitCURE_netReset() (in module SNN2.src.model.fit.fitWrapper) (in module src.model.fit.fitWrapper) graysAfterFitReinforce() (in module SNN2.src.model.fit.fitWrapper) (in module src.model.fit.fitWrapper) group_column (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) group_df_pkl (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) group_standardize() (in module SNN2.src.actions.dataFrame) (in module src.actions.dataFrame)

H

h_origin (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) half_file (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) hash_path() (SNN2.src.io.files.FileHandler static method) (src.io.files.FileHandler static method) heatmap() (in module SNN2.src.plot.plot_functions) (in module src.plot.plot_functions) heatplot() (in module SNN2.src.plot.plot_functions) (in module src.plot.plot_functions)

history_xlim (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) history_ylim (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) histplot() (in module SNN2.src.plot.plot_functions) (in module src.plot.plot_functions) HuberActorCritic() (in module SNN2.src.model.losses.actorCritic) (in module src.model.losses.actorCritic)

I

id (SNN2.src.model.layers.CURELayer.tf_cluster.TfCluster property) (src.model.layers.CURELayer.tf_cluster.TfCluster property) ids (SNN2.src.model.layers.tf_cure.tf_cluster.tf_clusters property) (src.model.layers.tf_cure.tf_cluster.tf_clusters property) incdec() (in module SNN2.src.model.reward.accuracyMap) (in module src.model.reward.accuracyMap) index_col (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) INFO (SNN2.src.io.logger.LogHandler attribute) (src.io.logger.LogHandler attribute) init_queue() (SNN2.src.model.layers.tf_cure.cure.TfCURE method) (src.model.layers.tf_cure.cure.TfCURE method) init_rtree() (SNN2.src.model.layers.tf_cure.cure.TfCURE method) (src.model.layers.tf_cure.cure.TfCURE method) input() (in module SNN2.src.model.layers.layersWrapper) (in module src.model.layers.layersWrapper) input_data (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) insert() (SNN2.src.model.layers.CURELayer.tf_cluster.TfClusters method) (src.model.layers.CURELayer.tf_cluster.TfClusters method) insert_into_tree() (SNN2.src.model.layers.CURELayer.tf_cluster.TfCluster method) (src.model.layers.CURELayer.tf_cluster.TfCluster method)

interpolator() (in module SNN2.src.decorators.decorators) (in module src.decorators.decorators) io_exists_key (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) io_name_key (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) io_path_key (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) io_subtype_key (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) io_type_key (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) IOHandler (class in SNN2.src.io.IOHandler) (class in src.io.IOHandler) iter (SNN2.src.model.layers.CURELayer.tf_cluster.TfClusters property) (src.model.layers.CURELayer.tf_cluster.TfClusters property) iterate() (SNN2.src.model.layers.CURELayer.tf_CURE.TfCURE method) (SNN2.src.model.layers.tf_cure.cure.TfCURE method) (src.model.layers.CURELayer.tf_CURE.TfCURE method) (src.model.layers.tf_cure.cure.TfCURE method)

J

joint() (in module SNN2.src.plot.plot_functions) (in module src.plot.plot_functions)

K

kaggleDataVsLabelSeparation() (in module SNN2.src.actions.kaggleDst) (in module src.actions.kaggleDst) kaggleShuffle() (in module SNN2.src.actions.kaggleDst) (in module src.actions.kaggleDst) kaggleTrnValTestSeparation() (in module SNN2.src.actions.kaggleDst) (in module src.actions.kaggleDst)

kde() (in module SNN2.src.plot.plot_functions) (in module src.plot.plot_functions) keepColumns() (in module SNN2.src.actions.dataFrame) (in module src.actions.dataFrame) kick_str (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute)

L

last_layer_test (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) layer() (in module SNN2.src.params.paramWrapper) (in module src.params.paramWrapper) Layer_selector() (in module SNN2.src.model.layers.layersWrapper) (in module src.model.layers.layersWrapper) line() (in module SNN2.src.plot.plot_functions) (in module src.plot.plot_functions) lineStack() (in module SNN2.src.plot.plot_functions) (in module src.plot.plot_functions) listWindowing() (in module SNN2.src.actions.windowing) (in module src.actions.windowing) load() (in module SNN2.src.actions.dataFrame) (in module src.actions.dataFrame) (SNN2.src.io.pickleHandler.PickleHandler method) (SNN2.src.model.modelHandler.DefaultModelHandler method) (src.io.pickleHandler.PickleHandler method) (src.model.modelHandler.DefaultModelHandler method) load_embeddings() (in module SNN2.src.actions.embeddings) (in module src.actions.embeddings) load_samples() (in module SNN2.src.actions.embeddings) (in module src.actions.embeddings) loadMNIST() (in module SNN2.src.actions.dataFrame) (in module src.actions.dataFrame) local_load() (SNN2.src.core.data.flow.flow_operations.MVNO.MVNOFlow_getGoodBadDiff method) (SNN2.src.core.data.flow.flow_operations.MVNO.MVNOFlow_load method) (SNN2.src.core.data.flow.flow_operations.mvno_load_operation.mvno_load method) (SNN2.src.core.data.flow.MVNO.MVNOFlow_getGoodBadDiff method) (SNN2.src.core.data.flow.MVNO.MVNOFlow_load method) (src.core.data.flow.flow_operations.MVNO.MVNOFlow_getGoodBadDiff method) (src.core.data.flow.flow_operations.MVNO.MVNOFlow_load method) (src.core.data.flow.flow_operations.mvno_load_operation.mvno_load method) (src.core.data.flow.MVNO.MVNOFlow_getGoodBadDiff method) (src.core.data.flow.MVNO.MVNOFlow_load method)

log_file (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) log_format (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) log_history_state() (SNN2.src.model.reinforcement.reinforcement.RLModelHandler method) (src.model.reinforcement.reinforcement.RLModelHandler method) log_memory_state() (SNN2.src.model.reinforcement.reinforcement.RLModelHandler method) (src.model.reinforcement.reinforcement.RLModelHandler method) log_none() (in module SNN2.src.core.gray.grayWrapper) (in module src.core.gray.grayWrapper) log_path (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) LogHandler (class in SNN2.src.io.logger) (class in src.io.logger) loss() (in module SNN2.src.decorators.decorators) (in module SNN2.src.params.paramWrapper) (in module src.decorators.decorators) (in module src.params.paramWrapper) loss_functions (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) loss_par (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) loss_param() (in module SNN2.src.decorators.decorators) (in module src.decorators.decorators) loss_variables (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) lossParam() (in module SNN2.src.params.paramWrapper) (in module src.params.paramWrapper) lstm() (in module SNN2.src.model.layers.layersWrapper) (in module src.model.layers.layersWrapper)

M

mahalanobis_distance (class in SNN2.src.model.layers.distanceLayer) (class in src.model.layers.distanceLayer) main module main() (in module main) (in module SNN2.main) main_group_column (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) margin() (in module SNN2.src.model.losses.parameters) (in module src.model.losses.parameters) margin_key (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) maxPooling2D() (in module SNN2.src.model.layers.layersWrapper) (in module src.model.layers.layersWrapper) mc_save_freq (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) mc_weights_only (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) mean (SNN2.src.contextManagers.contextManagers.TimeitContext property) (SNN2.src.model.layers.CURELayer.algorithm.TfCluster property) (SNN2.src.model.layers.CURELayer.tf_cluster.TfCluster property) (SNN2.src.model.layers.tf_cure.tf_cluster.tf_clusters property) (src.contextManagers.contextManagers.TimeitContext property) (src.model.layers.CURELayer.algorithm.TfCluster property) (src.model.layers.CURELayer.tf_cluster.TfCluster property) (src.model.layers.tf_cure.tf_cluster.tf_clusters property) merge() (SNN2.src.model.layers.CURELayer.tf_cluster.TfCluster class method) (SNN2.src.model.layers.tf_cure.tf_cluster.tf_clusters method) (src.model.layers.CURELayer.tf_cluster.TfCluster class method) (src.model.layers.tf_cure.tf_cluster.tf_clusters method) merge_histories() (in module SNN2.src.util.helper) (in module src.util.helper) merge_triplets() (in module SNN2.src.core.gray.grayWrapper) (in module src.core.gray.grayWrapper) metric() (in module SNN2.src.decorators.decorators) (in module SNN2.src.params.paramWrapper) (in module src.decorators.decorators) (in module src.params.paramWrapper) metrics_functions (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) metrics_par (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) Metrics_selector() (in module SNN2.src.model.metrics.metricsWrapper) (in module src.model.metrics.metricsWrapper) min_delta_key (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) min_reduction() (SNN2.src.model.layers.CURELayer.algorithm.TfCluster method) (src.model.layers.CURELayer.algorithm.TfCluster method) min_str() (SNN2.src.model.layers.CURELayer.tf_cluster.TfCluster method) (src.model.layers.CURELayer.tf_cluster.TfCluster method) ml_eagerly (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) MNIST_pack() (in module SNN2.src.actions.dataFrame) (in module src.actions.dataFrame) MNIST_unpack() (in module SNN2.src.actions.dataFrame) (in module src.actions.dataFrame) mno_accuracy() (in module SNN2.src.model.callbacks.activate_metric) (in module src.model.callbacks.activate_metric) model() (in module SNN2.src.params.paramWrapper) (in module src.params.paramWrapper) model_par (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) modelCheckpoint() (in module SNN2.src.model.callbacks.callbacksWrapper) (in module src.model.callbacks.callbacksWrapper) ModelManager() (in module SNN2.src.decorators.decorators) (in module src.decorators.decorators) module main SNN2 SNN2.main SNN2.src SNN2.src.actions SNN2.src.actions.actionWrapper SNN2.src.actions.dataFrame SNN2.src.actions.embeddings SNN2.src.actions.kaggleDst SNN2.src.actions.separation SNN2.src.actions.windowing SNN2.src.contextManagers SNN2.src.contextManagers.contextManagers SNN2.src.core SNN2.src.core.data SNN2.src.core.data.DataManager SNN2.src.core.data.flow SNN2.src.core.data.flow.aggregator SNN2.src.core.data.flow.default SNN2.src.core.data.flow.flow_operations SNN2.src.core.data.flow.flow_operations.flow_operation SNN2.src.core.data.flow.flow_operations.MVNO SNN2.src.core.data.flow.flow_operations.mvno_load_operation SNN2.src.core.data.flow.flow_operations.mvno_separate_operations SNN2.src.core.data.flow.MVNO SNN2.src.core.data.flow.MVNO_extended SNN2.src.core.data.flow.MVNO_inference SNN2.src.core.data.flow.mvno_updated SNN2.src.core.data.flow.NetCat SNN2.src.core.data.flow.VMAF SNN2.src.core.data.PreProcessing SNN2.src.core.experiment SNN2.src.core.gray SNN2.src.core.gray.grayWrapper SNN2.src.decorators SNN2.src.decorators.decorators SNN2.src.environment SNN2.src.environment.conf SNN2.src.io SNN2.src.io.commandInterpolation SNN2.src.io.configuration SNN2.src.io.directories SNN2.src.io.files SNN2.src.io.IOHandler SNN2.src.io.logger SNN2.src.io.pickleHandler SNN2.src.io.progressBar SNN2.src.io.utils SNN2.src.model SNN2.src.model.callbacks SNN2.src.model.callbacks.activate_metric SNN2.src.model.callbacks.CallbacksHelper SNN2.src.model.callbacks.callbacksWrapper SNN2.src.model.callbacks.ControlledCrossEntropy SNN2.src.model.callbacks.ControlledCrossEntropy_better SNN2.src.model.callbacks.ControlledMarginIncreas SNN2.src.model.callbacks.FakeReinforceFixedAction SNN2.src.model.callbacks.FastReplayMemory SNN2.src.model.callbacks.ott_accuracy SNN2.src.model.callbacks.reinforcement SNN2.src.model.callbacks.RL_env_manager SNN2.src.model.callbacks.RL_partial_manager SNN2.src.model.callbacks.saveEmbeddings SNN2.src.model.callbacks.testParam SNN2.src.model.callbacks.verbose SNN2.src.model.custom SNN2.src.model.custom.ActorCriticModel SNN2.src.model.custom.classification SNN2.src.model.custom.customWrapper SNN2.src.model.custom.siamese SNN2.src.model.custom.siamese_reps SNN2.src.model.embeddings SNN2.src.model.embeddings.embeddings SNN2.src.model.embeddings.embeddingsWrapper SNN2.src.model.fit SNN2.src.model.fit.fitWrapper SNN2.src.model.history SNN2.src.model.history.history SNN2.src.model.layers SNN2.src.model.layers.CURELayer SNN2.src.model.layers.CURELayer.algorithm SNN2.src.model.layers.CURELayer.old_clusters SNN2.src.model.layers.CURELayer.tf_cluster SNN2.src.model.layers.CURELayer.tf_CURE SNN2.src.model.layers.distanceLayer SNN2.src.model.layers.layersWrapper SNN2.src.model.layers.tf_cure SNN2.src.model.layers.tf_cure.cure SNN2.src.model.layers.tf_cure.tf_cluster SNN2.src.model.layers.tf_cure.tree SNN2.src.model.losses SNN2.src.model.losses.actorCritic SNN2.src.model.losses.categorical SNN2.src.model.losses.loss SNN2.src.model.losses.original SNN2.src.model.losses.parameters SNN2.src.model.losses.worst SNN2.src.model.managers SNN2.src.model.managers.ClassificationEnv SNN2.src.model.managers.selector SNN2.src.model.managers.SiameseEnv SNN2.src.model.metrics SNN2.src.model.metrics.metrics SNN2.src.model.metrics.metricsWrapper SNN2.src.model.metrics.MNO_cm SNN2.src.model.modelHandler SNN2.src.model.reinforcement SNN2.src.model.reinforcement.ActorCritic SNN2.src.model.reinforcement.reinfoceModelHandler SNN2.src.model.reinforcement.reinforcement SNN2.src.model.reinforcement.RL_actorCritic SNN2.src.model.reinforcement.RL_actorCritic_intermidiate SNN2.src.model.reinforcement.RL_external_manager SNN2.src.model.replayMemory SNN2.src.model.replayMemory.mem SNN2.src.model.reward SNN2.src.model.reward.accuracyMap SNN2.src.model.reward.clsAcc SNN2.src.model.reward.clsStd SNN2.src.model.reward.original SNN2.src.model.reward.reward SNN2.src.model.RLActionPolicies SNN2.src.model.RLActionPolicies.actPolicy SNN2.src.model.RLActionPolicies.definedPolicy SNN2.src.model.RLActionPolicies.nnPolicy SNN2.src.model.RLEnvExitFunctions SNN2.src.model.RLEnvExitFunctions.accFunctions SNN2.src.model.RLEnvExitFunctions.exitFunctions SNN2.src.model.RLObservationPP SNN2.src.model.RLObservationPP.clsCmExp SNN2.src.model.RLObservationPP.cmExpansion SNN2.src.model.RLObservationPP.obsPP SNN2.src.model.RLPerfEvaluation SNN2.src.model.RLPerfEvaluation.clsRewExit SNN2.src.model.RLPerfEvaluation.correlation SNN2.src.model.RLPerfEvaluation.perfEval SNN2.src.model.RLPerfEvaluation.rewardExit SNN2.src.params SNN2.src.params.parameters SNN2.src.params.paramHandler SNN2.src.params.paramWrapper SNN2.src.plot SNN2.src.plot.plot_functions SNN2.src.plot.plotter SNN2.src.plot.study SNN2.src.util SNN2.src.util.constants SNN2.src.util.dataManger SNN2.src.util.helper SNN2.src.util.strings src src.actions src.actions.actionWrapper src.actions.dataFrame src.actions.embeddings src.actions.kaggleDst src.actions.separation src.actions.windowing src.contextManagers src.contextManagers.contextManagers src.core src.core.data src.core.data.DataManager src.core.data.flow src.core.data.flow.aggregator src.core.data.flow.default src.core.data.flow.flow_operations src.core.data.flow.flow_operations.flow_operation src.core.data.flow.flow_operations.MVNO src.core.data.flow.flow_operations.mvno_load_operation src.core.data.flow.flow_operations.mvno_separate_operations src.core.data.flow.MVNO src.core.data.flow.MVNO_extended src.core.data.flow.MVNO_inference src.core.data.flow.mvno_updated src.core.data.flow.NetCat src.core.data.flow.VMAF src.core.data.PreProcessing src.core.experiment src.core.gray src.core.gray.grayWrapper src.decorators src.decorators.decorators src.environment src.environment.conf src.io src.io.commandInterpolation src.io.configuration src.io.directories src.io.files src.io.IOHandler src.io.logger src.io.pickleHandler src.io.progressBar src.io.utils src.model src.model.callbacks src.model.callbacks.activate_metric src.model.callbacks.CallbacksHelper src.model.callbacks.callbacksWrapper src.model.callbacks.ControlledCrossEntropy src.model.callbacks.ControlledCrossEntropy_better src.model.callbacks.ControlledMarginIncreas src.model.callbacks.FakeReinforceFixedAction src.model.callbacks.FastReplayMemory src.model.callbacks.ott_accuracy src.model.callbacks.reinforcement src.model.callbacks.RL_env_manager src.model.callbacks.RL_partial_manager src.model.callbacks.saveEmbeddings src.model.callbacks.testParam src.model.callbacks.verbose src.model.custom src.model.custom.ActorCriticModel src.model.custom.classification src.model.custom.customWrapper src.model.custom.siamese src.model.custom.siamese_reps src.model.embeddings src.model.embeddings.embeddings src.model.embeddings.embeddingsWrapper src.model.fit src.model.fit.fitWrapper src.model.history src.model.history.history src.model.layers src.model.layers.CURELayer src.model.layers.CURELayer.algorithm src.model.layers.CURELayer.old_clusters src.model.layers.CURELayer.tf_cluster src.model.layers.CURELayer.tf_CURE src.model.layers.distanceLayer src.model.layers.layersWrapper src.model.layers.tf_cure src.model.layers.tf_cure.cure src.model.layers.tf_cure.tf_cluster src.model.layers.tf_cure.tree src.model.losses src.model.losses.actorCritic src.model.losses.categorical src.model.losses.loss src.model.losses.original src.model.losses.parameters src.model.losses.worst src.model.managers src.model.managers.ClassificationEnv src.model.managers.selector src.model.managers.SiameseEnv src.model.metrics src.model.metrics.metrics src.model.metrics.metricsWrapper src.model.metrics.MNO_cm src.model.modelHandler src.model.reinforcement src.model.reinforcement.ActorCritic src.model.reinforcement.reinfoceModelHandler src.model.reinforcement.reinforcement src.model.reinforcement.RL_actorCritic src.model.reinforcement.RL_actorCritic_intermidiate src.model.reinforcement.RL_external_manager src.model.replayMemory src.model.replayMemory.mem src.model.reward src.model.reward.accuracyMap src.model.reward.clsAcc src.model.reward.clsStd src.model.reward.original src.model.reward.reward src.model.RLActionPolicies src.model.RLActionPolicies.actPolicy src.model.RLActionPolicies.definedPolicy src.model.RLActionPolicies.nnPolicy src.model.RLEnvExitFunctions src.model.RLEnvExitFunctions.accFunctions src.model.RLEnvExitFunctions.exitFunctions src.model.RLObservationPP src.model.RLObservationPP.clsCmExp src.model.RLObservationPP.cmExpansion src.model.RLObservationPP.obsPP src.model.RLPerfEvaluation src.model.RLPerfEvaluation.clsRewExit src.model.RLPerfEvaluation.correlation src.model.RLPerfEvaluation.perfEval src.model.RLPerfEvaluation.rewardExit src.params src.params.parameters src.params.paramHandler src.params.paramWrapper src.plot src.plot.plot_functions src.plot.plotter src.plot.study src.util src.util.constants src.util.dataManger src.util.helper src.util.strings

move_legend() (SNN2.src.plot.plotter.plotter method) (src.plot.plotter.plotter method) ms_path (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) multiDimEvolution() (in module SNN2.src.plot.plot_functions) (in module src.plot.plot_functions) multiLineplot() (in module SNN2.src.plot.plot_functions) (in module src.plot.plot_functions) mvno_load (class in SNN2.src.core.data.flow.flow_operations.mvno_load_operation) (class in src.core.data.flow.flow_operations.mvno_load_operation) MVNOFlow (class in SNN2.src.core.data.flow.flow_operations.MVNO) (class in SNN2.src.core.data.flow.MVNO) (class in src.core.data.flow.flow_operations.MVNO) (class in src.core.data.flow.MVNO) MVNOFlow_extended (class in SNN2.src.core.data.flow.MVNO_extended) (class in src.core.data.flow.MVNO_extended) MVNOFlow_getGoodBadDiff (class in SNN2.src.core.data.flow.flow_operations.MVNO) (class in SNN2.src.core.data.flow.MVNO) (class in src.core.data.flow.flow_operations.MVNO) (class in src.core.data.flow.MVNO) MVNOFlow_inference (class in SNN2.src.core.data.flow.MVNO_inference) (class in src.core.data.flow.MVNO_inference) MVNOFlow_load (class in SNN2.src.core.data.flow.flow_operations.MVNO) (class in SNN2.src.core.data.flow.MVNO) (class in src.core.data.flow.flow_operations.MVNO) (class in src.core.data.flow.MVNO) MVNOFlow_smartMemory (class in SNN2.src.core.data.flow.mvno_updated) (class in src.core.data.flow.mvno_updated) my_dst() (SNN2.src.model.layers.CURELayer.algorithm.TfCluster method) (src.model.layers.CURELayer.algorithm.TfCluster method) my_sigmoid() (in module SNN2.src.model.losses.categorical) (in module src.model.losses.categorical) my_tf_round() (in module SNN2.src.model.RLObservationPP.clsCmExp) (in module SNN2.src.model.RLObservationPP.cmExpansion) (in module src.model.RLObservationPP.clsCmExp) (in module src.model.RLObservationPP.cmExpansion)

N

n_clusters (SNN2.src.model.layers.tf_cure.cure.TfCURE property) (src.model.layers.tf_cure.cure.TfCURE property) n_net (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) n_nodes_key (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) n_origin (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) n_rep (SNN2.src.model.layers.tf_cure.cure.TfCURE property) (src.model.layers.tf_cure.cure.TfCURE property) n_runs (SNN2.src.contextManagers.contextManagers.TimeitContext attribute) (src.contextManagers.contextManagers.TimeitContext attribute) nearest() (SNN2.src.model.layers.tf_cure.tree.tf_rtree method) (src.model.layers.tf_cure.tree.tf_rtree method) nearest_from_tree() (SNN2.src.model.layers.CURELayer.tf_cluster.TfCluster method) (src.model.layers.CURELayer.tf_cluster.TfCluster method) negative_file (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) NetCatFlow (class in SNN2.src.core.data.flow.NetCat) (class in src.core.data.flow.NetCat) network_plot_features (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) nn_column (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) no_feature_col (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute)

none_customModel() (in module SNN2.src.model.custom.customWrapper) (in module src.model.custom.customWrapper) none_log() (SNN2.src.model.embeddings.embeddings.ActorCriticEmb method) (SNN2.src.model.embeddings.embeddings.defaultEmb method) (src.model.embeddings.embeddings.ActorCriticEmb method) (src.model.embeddings.embeddings.defaultEmb method) normalization() (in module SNN2.src.model.layers.layersWrapper) (in module src.model.layers.layersWrapper) normalizationLambda() (in module SNN2.src.model.layers.layersWrapper) (in module src.model.layers.layersWrapper) normalize() (in module SNN2.src.actions.actionWrapper) (in module SNN2.src.model.reward.accuracyMap) (in module SNN2.src.model.reward.clsAcc) (in module src.actions.actionWrapper) (in module src.model.reward.accuracyMap) (in module src.model.reward.clsAcc) normalizeMinMax() (in module SNN2.src.actions.actionWrapper) (in module src.actions.actionWrapper) normalizeMNIST() (in module SNN2.src.actions.dataFrame) (in module src.actions.dataFrame) numpy_rng (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) numpyRng() (in module SNN2.src.params.paramWrapper) (in module src.params.paramWrapper) NumpyRng_param (class in SNN2.src.params.parameters) (class in src.params.parameters)

O

origin_column_name (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) original() (in module SNN2.src.model.losses.original) (in module SNN2.src.model.reward.original) (in module src.model.losses.original) (in module src.model.reward.original)

original_RLimit() (in module SNN2.src.model.losses.original) (in module src.model.losses.original) ott_accuracy() (in module SNN2.src.model.callbacks.ott_accuracy) (in module src.model.callbacks.ott_accuracy)

P

p_net (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) p_origin (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) param_action_args (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) param_action_kwargs (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) param_action_type (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) param_args_ast (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) param_callback_type (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) param_embedding_type (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) param_Environment_type (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) param_experiment_type (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) param_fitmethod_type (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) param_flow_type (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) param_generic_type (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) param_grayEvolution_type (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) param_layer_type (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) param_loss_type (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) param_lossParam_type (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) param_metric_type (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) param_model_type (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) param_numpyRng_type (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) param_PreProcessing_type (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) param_reinforce_model_type (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) param_reward_function_type (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) param_RLActPolicy_type (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) param_RLEnvExitFunction_type (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) param_RLObsPP_type (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) param_RLPerfEval_type (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) Param_selector() (in module SNN2.src.params.paramWrapper) (in module src.params.paramWrapper) param_study_type (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) param_types (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) param_value (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) paramChange() (in module SNN2.src.model.reward.accuracyMap) (in module src.model.reward.accuracyMap) paramChangeEmu() (in module SNN2.src.model.reward.accuracyMap) (in module src.model.reward.accuracyMap) path (SNN2.src.io.directories.DirectoryHandler property) (SNN2.src.io.files.FileHandler property) (src.io.directories.DirectoryHandler property) (src.io.files.FileHandler property) patience_key (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) pb (class in SNN2.src.io.progressBar) (class in src.io.progressBar)

pdf() (SNN2.src.plot.plotter.plotter method) (src.plot.plotter.plotter method) PickleHandler (class in SNN2.src.io.pickleHandler) (class in src.io.pickleHandler) pkl_gray (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) pkl_path (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) pkl_test (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) pkl_training (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) pkl_validation (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) platoKeeper() (in module SNN2.src.model.reward.accuracyMap) (in module src.model.reward.accuracyMap) plot() (in module SNN2.src.decorators.decorators) (in module src.decorators.decorators) plot_features (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) plot_format (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) plot_key (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) plotter (class in SNN2.src.plot.plotter) (class in src.plot.plotter) points (SNN2.src.model.layers.CURELayer.tf_cluster.TfCluster property) (src.model.layers.CURELayer.tf_cluster.TfCluster property) pop() (SNN2.src.model.layers.CURELayer.tf_cluster.TfClusters method) (src.model.layers.CURELayer.tf_cluster.TfClusters method) positive_file (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) pp_actions (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) pp_dst() (in module SNN2.src.core.data.flow.MVNO_extended) (in module SNN2.src.model.layers.tf_cure.tf_cluster) (in module src.core.data.flow.MVNO_extended) (in module src.model.layers.tf_cure.tf_cluster) pp_flow_name (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) pp_path (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) predict() (in module SNN2.src.core.gray.grayWrapper) (in module src.core.gray.grayWrapper) predict_step() (SNN2.src.model.custom.ActorCriticModel.ActorCriticModel method) (SNN2.src.model.custom.classification.ClassificationModel method) (SNN2.src.model.custom.siamese.SiameseModel method) (SNN2.src.model.custom.siamese_reps.SiameseModelRepeat method) (src.model.custom.ActorCriticModel.ActorCriticModel method) (src.model.custom.classification.ClassificationModel method) (src.model.custom.siamese.SiameseModel method) (src.model.custom.siamese_reps.SiameseModelRepeat method) prediction_flag() (in module SNN2.src.core.gray.grayWrapper) (in module src.core.gray.grayWrapper) prefetch_key (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) preprocessing() (in module SNN2.src.params.paramWrapper) (in module src.params.paramWrapper) print_data() (in module SNN2.src.actions.actionWrapper) (in module src.actions.actionWrapper) process() (SNN2.src.model.layers.CURELayer.algorithm.TfCURE method) (SNN2.src.model.layers.CURELayer.tf_CURE.TfCURE method) (SNN2.src.model.layers.tf_cure.cure.TfCURE method) (src.model.layers.CURELayer.algorithm.TfCURE method) (src.model.layers.CURELayer.tf_CURE.TfCURE method) (src.model.layers.tf_cure.cure.TfCURE method) prp_cons (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) prp_par (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) prp_pres (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) prp_special (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute)

Q

queue (SNN2.src.model.layers.CURELayer.tf_CURE.TfCURE property) (src.model.layers.CURELayer.tf_CURE.TfCURE property)

R

ragged_tf_concat() (in module SNN2.src.model.layers.tf_cure.tf_cluster) (in module src.model.layers.tf_cure.tf_cluster) ragged_tf_swap() (in module SNN2.src.model.layers.tf_cure.tf_cluster) (in module src.model.layers.tf_cure.tf_cluster) redirect() (in module SNN2.src.io.utils) (in module src.io.utils) regenerate_gray_triplets() (in module SNN2.src.core.gray.grayWrapper) (in module src.core.gray.grayWrapper) register() (SNN2.src.model.reinforcement.RL_actorCritic.RL_AC_manager method) (SNN2.src.model.reinforcement.RL_actorCritic_intermidiate.RL_AC_manager_intermidiate method) (src.model.reinforcement.RL_actorCritic.RL_AC_manager method) (src.model.reinforcement.RL_actorCritic_intermidiate.RL_AC_manager_intermidiate method) reinforcement() (in module SNN2.src.model.callbacks.reinforcement) (in module src.model.callbacks.reinforcement) reinforcementModel() (in module SNN2.src.params.paramWrapper) (in module src.params.paramWrapper) ReinforceModelHandler() (in module SNN2.src.model.reinforcement.reinfoceModelHandler) (in module src.model.reinforcement.reinfoceModelHandler) remove() (SNN2.src.model.layers.CURELayer.tf_cluster.TfClusters method) (src.model.layers.CURELayer.tf_cluster.TfClusters method) remove_cluster() (SNN2.src.model.layers.tf_cure.tree.tf_rtree method) (src.model.layers.tf_cure.tree.tf_rtree method) remove_from_tree() (SNN2.src.model.layers.CURELayer.tf_cluster.TfCluster method) (src.model.layers.CURELayer.tf_cluster.TfCluster method) remove_over_threshold() (in module SNN2.src.actions.dataFrame) (in module src.actions.dataFrame) remove_undecided() (in module SNN2.src.core.gray.grayWrapper) (in module src.core.gray.grayWrapper) removeNaN() (in module SNN2.src.actions.dataFrame) (in module src.actions.dataFrame) rep (SNN2.src.model.layers.CURELayer.tf_cluster.TfCluster property) (src.model.layers.CURELayer.tf_cluster.TfCluster property) rep_loop_body() (in module SNN2.src.model.layers.tf_cure.tf_cluster) (in module src.model.layers.tf_cure.tf_cluster) ReplayMemory (class in SNN2.src.model.replayMemory.mem) (class in src.model.replayMemory.mem) reps (SNN2.src.model.layers.tf_cure.tf_cluster.tf_clusters property) (src.model.layers.tf_cure.tf_cluster.tf_clusters property) reset() (SNN2.src.model.reinforcement.RL_actorCritic.RL_AC_manager method) (SNN2.src.model.reinforcement.RL_actorCritic_intermidiate.RL_AC_manager_intermidiate method) (src.model.reinforcement.RL_actorCritic.RL_AC_manager method) (src.model.reinforcement.RL_actorCritic_intermidiate.RL_AC_manager_intermidiate method) reset_state() (SNN2.src.model.metrics.metrics.distanceAccuracy method) (SNN2.src.model.metrics.MNO_cm.generic_cm_object method) (src.model.metrics.metrics.distanceAccuracy method) (src.model.metrics.MNO_cm.generic_cm_object method) reshapeMNIST() (in module SNN2.src.actions.dataFrame) (in module src.actions.dataFrame) result() (SNN2.src.model.metrics.metrics.distanceAccuracy method) (SNN2.src.model.metrics.MNO_cm.generic_cm_object method) (src.model.metrics.metrics.distanceAccuracy method) (src.model.metrics.MNO_cm.generic_cm_object method) results_path (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) reverse_closests (SNN2.src.model.layers.CURELayer.tf_cluster.TfCluster property) (src.model.layers.CURELayer.tf_cluster.TfCluster property) reward() (in module SNN2.src.decorators.decorators) (in module src.decorators.decorators) reward_cls() (in module SNN2.src.decorators.decorators) (in module src.decorators.decorators) rewardFunction() (in module SNN2.src.params.paramWrapper) (in module src.params.paramWrapper) rewardThreshold() (in module SNN2.src.model.RLPerfEvaluation.rewardExit) (in module src.model.RLPerfEvaluation.rewardExit) RL_AC_manager (class in SNN2.src.model.reinforcement.RL_actorCritic) (class in src.model.reinforcement.RL_actorCritic) RL_AC_manager_intermidiate (class in SNN2.src.model.reinforcement.RL_actorCritic_intermidiate) (class in src.model.reinforcement.RL_actorCritic_intermidiate) rl_actions (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) rl_active (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute)

rl_actuator (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) rl_adam (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) rl_delta (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) RL_env_manager() (in module SNN2.src.model.reinforcement.RL_external_manager) (in module src.model.reinforcement.RL_external_manager) rl_environment (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) rl_episodes (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) rl_gamma (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) rl_infer_episodes (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) rl_inputs (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) rl_nnodes (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) rl_par (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) rl_sigma (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) rl_skip (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) rl_steps (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) rl_training (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) RLActionPolicies() (in module SNN2.src.decorators.decorators) (in module src.decorators.decorators) RLActionPolicy() (in module SNN2.src.params.paramWrapper) (in module src.params.paramWrapper) RLEnvExitFunction() (in module SNN2.src.decorators.decorators) (in module SNN2.src.params.paramWrapper) (in module src.decorators.decorators) (in module src.params.paramWrapper) RLModelHandler (class in SNN2.src.model.reinforcement.reinforcement) (class in src.model.reinforcement.reinforcement) RLModelHandlerWrapper() (in module SNN2.src.decorators.decorators) (in module src.decorators.decorators) RLObservationPP() (in module SNN2.src.decorators.decorators) (in module SNN2.src.params.paramWrapper) (in module src.decorators.decorators) (in module src.params.paramWrapper) RLObservationPP_cls() (in module SNN2.src.decorators.decorators) (in module src.decorators.decorators) RLPerfEval() (in module SNN2.src.decorators.decorators) (in module SNN2.src.params.paramWrapper) (in module src.decorators.decorators) (in module src.params.paramWrapper) RLPerfEval_cls() (in module SNN2.src.decorators.decorators) (in module src.decorators.decorators) rlTrnFrz_external_AfterTrivial (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) RLTrnFrz_External_AfterTrivial() (in module SNN2.src.model.fit.fitWrapper) (in module src.model.fit.fitWrapper) rlTrnFrz_external_graysAfterFit (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) RLTrnFrz_External_graysAfterFit() (in module SNN2.src.model.fit.fitWrapper) (in module src.model.fit.fitWrapper) rlTrnFrz_graysAfterFit (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) RLTrnFrz_graysAfterFit() (in module SNN2.src.model.fit.fitWrapper) (in module src.model.fit.fitWrapper) rm_cluster_tree() (SNN2.src.model.layers.CURELayer.tf_CURE.TfCURE method) (src.model.layers.CURELayer.tf_CURE.TfCURE method) rng_key (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) rolling_feature() (in module SNN2.src.actions.dataFrame) (in module src.actions.dataFrame)

S

s (class in SNN2.src.util.strings) (class in src.util.strings) save() (SNN2.src.io.pickleHandler.PickleHandler method) (SNN2.src.model.modelHandler.DefaultModelHandler method) (SNN2.src.plot.plotter.plotter method) (SNN2.src.util.dataManger.DataManager method) (src.io.pickleHandler.PickleHandler method) (src.model.modelHandler.DefaultModelHandler method) (src.plot.plotter.plotter method) (src.util.dataManger.DataManager method) save_gray_predictions() (in module SNN2.src.core.gray.grayWrapper) (in module src.core.gray.grayWrapper) save_gray_stats() (in module SNN2.src.core.gray.grayWrapper) (in module src.core.gray.grayWrapper) save_representors() (in module SNN2.src.core.gray.grayWrapper) (in module src.core.gray.grayWrapper) saveEmbeddings() (in module SNN2.src.model.callbacks.saveEmbeddings) (in module src.model.callbacks.saveEmbeddings) saveObject() (in module SNN2.src.model.callbacks.saveEmbeddings) (in module src.model.callbacks.saveEmbeddings) scatter() (in module SNN2.src.plot.plot_functions) (in module src.plot.plot_functions) (SNN2.src.plot.plotter.plotter method) (src.plot.plotter.plotter method) seconds_column (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) selector() (in module SNN2.src.model.managers.selector) (in module SNN2.src.model.reward.reward) (in module SNN2.src.model.RLActionPolicies.actPolicy) (in module SNN2.src.model.RLEnvExitFunctions.exitFunctions) (in module SNN2.src.model.RLObservationPP.obsPP) (in module SNN2.src.model.RLPerfEvaluation.perfEval) (in module src.model.managers.selector) (in module src.model.reward.reward) (in module src.model.RLActionPolicies.actPolicy) (in module src.model.RLEnvExitFunctions.exitFunctions) (in module src.model.RLObservationPP.obsPP) (in module src.model.RLPerfEvaluation.perfEval) separate_training_triplets() (in module SNN2.src.core.gray.grayWrapper) (in module src.core.gray.grayWrapper) set() (SNN2.src.plot.plotter.plotter method) (src.plot.plotter.plotter method) set_legend() (SNN2.src.plot.plotter.plotter method) (src.plot.plotter.plotter method) set_metric_attr() (in module SNN2.src.model.callbacks.activate_metric) (in module src.model.callbacks.activate_metric) set_rngs() (in module SNN2.src.environment.conf) (in module src.environment.conf) set_weights() (SNN2.src.model.modelHandler.DefaultModelHandler method) (src.model.modelHandler.DefaultModelHandler method) shape_key (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) SiameseEnv (class in SNN2.src.model.managers.SiameseEnv) (class in src.model.managers.SiameseEnv) SiameseModel (class in SNN2.src.model.custom.siamese) (class in src.model.custom.siamese) SiameseModelRepeat (class in SNN2.src.model.custom.siamese_reps) (class in src.model.custom.siamese_reps) sigmoid() (in module SNN2.src.model.callbacks.ControlledMarginIncreas) (in module src.model.callbacks.ControlledMarginIncreas) sigmoid_range (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) sigmoid_value (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) silent (SNN2.src.io.progressBar.pb attribute) (src.io.progressBar.pb attribute) silent_help (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) size (SNN2.src.model.layers.CURELayer.tf_cluster.TfClusters property) (SNN2.src.model.layers.tf_cure.tf_cluster.tf_clusters property) (src.model.layers.CURELayer.tf_cluster.TfClusters property) (src.model.layers.tf_cure.tf_cluster.tf_clusters property) slimit (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) SNN2 module SNN2.main module SNN2.src module SNN2.src.actions module SNN2.src.actions.actionWrapper module SNN2.src.actions.dataFrame module SNN2.src.actions.embeddings module SNN2.src.actions.kaggleDst module SNN2.src.actions.separation module SNN2.src.actions.windowing module SNN2.src.contextManagers module SNN2.src.contextManagers.contextManagers module SNN2.src.core module SNN2.src.core.data module SNN2.src.core.data.DataManager module SNN2.src.core.data.flow module SNN2.src.core.data.flow.aggregator module SNN2.src.core.data.flow.default module SNN2.src.core.data.flow.flow_operations module SNN2.src.core.data.flow.flow_operations.flow_operation module SNN2.src.core.data.flow.flow_operations.MVNO module SNN2.src.core.data.flow.flow_operations.mvno_load_operation module SNN2.src.core.data.flow.flow_operations.mvno_separate_operations module SNN2.src.core.data.flow.MVNO module SNN2.src.core.data.flow.MVNO_extended module SNN2.src.core.data.flow.MVNO_inference module SNN2.src.core.data.flow.mvno_updated module SNN2.src.core.data.flow.NetCat module SNN2.src.core.data.flow.VMAF module SNN2.src.core.data.PreProcessing module SNN2.src.core.experiment module SNN2.src.core.gray module SNN2.src.core.gray.grayWrapper module SNN2.src.decorators module SNN2.src.decorators.decorators module SNN2.src.environment module SNN2.src.environment.conf module SNN2.src.io module SNN2.src.io.commandInterpolation module SNN2.src.io.configuration module SNN2.src.io.directories module SNN2.src.io.files module SNN2.src.io.IOHandler module SNN2.src.io.logger module SNN2.src.io.pickleHandler module SNN2.src.io.progressBar module SNN2.src.io.utils module SNN2.src.model module SNN2.src.model.callbacks module SNN2.src.model.callbacks.activate_metric module SNN2.src.model.callbacks.CallbacksHelper module SNN2.src.model.callbacks.callbacksWrapper module SNN2.src.model.callbacks.ControlledCrossEntropy module SNN2.src.model.callbacks.ControlledCrossEntropy_better module SNN2.src.model.callbacks.ControlledMarginIncreas module SNN2.src.model.callbacks.FakeReinforceFixedAction module SNN2.src.model.callbacks.FastReplayMemory module SNN2.src.model.callbacks.ott_accuracy module SNN2.src.model.callbacks.reinforcement module SNN2.src.model.callbacks.RL_env_manager module SNN2.src.model.callbacks.RL_partial_manager module SNN2.src.model.callbacks.saveEmbeddings module SNN2.src.model.callbacks.testParam module SNN2.src.model.callbacks.verbose module SNN2.src.model.custom module SNN2.src.model.custom.ActorCriticModel module SNN2.src.model.custom.classification module SNN2.src.model.custom.customWrapper module SNN2.src.model.custom.siamese module SNN2.src.model.custom.siamese_reps module SNN2.src.model.embeddings module SNN2.src.model.embeddings.embeddings module SNN2.src.model.embeddings.embeddingsWrapper module SNN2.src.model.fit module SNN2.src.model.fit.fitWrapper module SNN2.src.model.history module SNN2.src.model.history.history module SNN2.src.model.layers module SNN2.src.model.layers.CURELayer module SNN2.src.model.layers.CURELayer.algorithm module SNN2.src.model.layers.CURELayer.old_clusters module SNN2.src.model.layers.CURELayer.tf_cluster module SNN2.src.model.layers.CURELayer.tf_CURE module SNN2.src.model.layers.distanceLayer module SNN2.src.model.layers.layersWrapper module SNN2.src.model.layers.tf_cure module SNN2.src.model.layers.tf_cure.cure module SNN2.src.model.layers.tf_cure.tf_cluster module SNN2.src.model.layers.tf_cure.tree module SNN2.src.model.losses module SNN2.src.model.losses.actorCritic module SNN2.src.model.losses.categorical module SNN2.src.model.losses.loss module SNN2.src.model.losses.original module SNN2.src.model.losses.parameters module SNN2.src.model.losses.worst module SNN2.src.model.managers module SNN2.src.model.managers.ClassificationEnv module SNN2.src.model.managers.selector module SNN2.src.model.managers.SiameseEnv module SNN2.src.model.metrics module SNN2.src.model.metrics.metrics module SNN2.src.model.metrics.metricsWrapper module SNN2.src.model.metrics.MNO_cm module SNN2.src.model.modelHandler module SNN2.src.model.reinforcement module SNN2.src.model.reinforcement.ActorCritic module SNN2.src.model.reinforcement.reinfoceModelHandler module SNN2.src.model.reinforcement.reinforcement module SNN2.src.model.reinforcement.RL_actorCritic module SNN2.src.model.reinforcement.RL_actorCritic_intermidiate module SNN2.src.model.reinforcement.RL_external_manager module SNN2.src.model.replayMemory module SNN2.src.model.replayMemory.mem module SNN2.src.model.reward module SNN2.src.model.reward.accuracyMap module SNN2.src.model.reward.clsAcc module SNN2.src.model.reward.clsStd module SNN2.src.model.reward.original module SNN2.src.model.reward.reward module SNN2.src.model.RLActionPolicies module SNN2.src.model.RLActionPolicies.actPolicy module SNN2.src.model.RLActionPolicies.definedPolicy module SNN2.src.model.RLActionPolicies.nnPolicy module SNN2.src.model.RLEnvExitFunctions module SNN2.src.model.RLEnvExitFunctions.accFunctions module SNN2.src.model.RLEnvExitFunctions.exitFunctions module SNN2.src.model.RLObservationPP module SNN2.src.model.RLObservationPP.clsCmExp module SNN2.src.model.RLObservationPP.cmExpansion module SNN2.src.model.RLObservationPP.obsPP module SNN2.src.model.RLPerfEvaluation module SNN2.src.model.RLPerfEvaluation.clsRewExit module SNN2.src.model.RLPerfEvaluation.correlation module SNN2.src.model.RLPerfEvaluation.perfEval module SNN2.src.model.RLPerfEvaluation.rewardExit module SNN2.src.params module SNN2.src.params.parameters module SNN2.src.params.paramHandler module

SNN2.src.params.paramWrapper module SNN2.src.plot module SNN2.src.plot.plot_functions module SNN2.src.plot.plotter module SNN2.src.plot.study module SNN2.src.util module SNN2.src.util.constants module SNN2.src.util.dataManger module SNN2.src.util.helper module SNN2.src.util.strings module sns_reset() (SNN2.src.plot.plotter.plotter method) (src.plot.plotter.plotter method) sns_set() (SNN2.src.plot.plotter.plotter method) (src.plot.plotter.plotter method) sns_set_api() (SNN2.src.plot.plotter.plotter method) (src.plot.plotter.plotter method) src module src.actions module src.actions.actionWrapper module src.actions.dataFrame module src.actions.embeddings module src.actions.kaggleDst module src.actions.separation module src.actions.windowing module src.contextManagers module src.contextManagers.contextManagers module src.core module src.core.data module src.core.data.DataManager module src.core.data.flow module src.core.data.flow.aggregator module src.core.data.flow.default module src.core.data.flow.flow_operations module src.core.data.flow.flow_operations.flow_operation module src.core.data.flow.flow_operations.MVNO module src.core.data.flow.flow_operations.mvno_load_operation module src.core.data.flow.flow_operations.mvno_separate_operations module src.core.data.flow.MVNO module src.core.data.flow.MVNO_extended module src.core.data.flow.MVNO_inference module src.core.data.flow.mvno_updated module src.core.data.flow.NetCat module src.core.data.flow.VMAF module src.core.data.PreProcessing module src.core.experiment module src.core.gray module src.core.gray.grayWrapper module src.decorators module src.decorators.decorators module src.environment module src.environment.conf module src.io module src.io.commandInterpolation module src.io.configuration module src.io.directories module src.io.files module src.io.IOHandler module src.io.logger module src.io.pickleHandler module src.io.progressBar module src.io.utils module src.model module src.model.callbacks module src.model.callbacks.activate_metric module src.model.callbacks.CallbacksHelper module src.model.callbacks.callbacksWrapper module src.model.callbacks.ControlledCrossEntropy module src.model.callbacks.ControlledCrossEntropy_better module src.model.callbacks.ControlledMarginIncreas module src.model.callbacks.FakeReinforceFixedAction module src.model.callbacks.FastReplayMemory module src.model.callbacks.ott_accuracy module src.model.callbacks.reinforcement module src.model.callbacks.RL_env_manager module src.model.callbacks.RL_partial_manager module src.model.callbacks.saveEmbeddings module src.model.callbacks.testParam module src.model.callbacks.verbose module src.model.custom module src.model.custom.ActorCriticModel module src.model.custom.classification module src.model.custom.customWrapper module src.model.custom.siamese module src.model.custom.siamese_reps module src.model.embeddings module src.model.embeddings.embeddings module src.model.embeddings.embeddingsWrapper module src.model.fit module src.model.fit.fitWrapper module src.model.history module src.model.history.history module src.model.layers module src.model.layers.CURELayer module src.model.layers.CURELayer.algorithm module src.model.layers.CURELayer.old_clusters module src.model.layers.CURELayer.tf_cluster module src.model.layers.CURELayer.tf_CURE module src.model.layers.distanceLayer module src.model.layers.layersWrapper module src.model.layers.tf_cure module src.model.layers.tf_cure.cure module src.model.layers.tf_cure.tf_cluster module src.model.layers.tf_cure.tree module src.model.losses module src.model.losses.actorCritic module src.model.losses.categorical module src.model.losses.loss module src.model.losses.original module src.model.losses.parameters module src.model.losses.worst module src.model.managers module src.model.managers.ClassificationEnv module src.model.managers.selector module src.model.managers.SiameseEnv module src.model.metrics module src.model.metrics.metrics module src.model.metrics.metricsWrapper module src.model.metrics.MNO_cm module src.model.modelHandler module src.model.reinforcement module src.model.reinforcement.ActorCritic module src.model.reinforcement.reinfoceModelHandler module src.model.reinforcement.reinforcement module src.model.reinforcement.RL_actorCritic module src.model.reinforcement.RL_actorCritic_intermidiate module src.model.reinforcement.RL_external_manager module src.model.replayMemory module src.model.replayMemory.mem module src.model.reward module src.model.reward.accuracyMap module src.model.reward.clsAcc module src.model.reward.clsStd module src.model.reward.original module src.model.reward.reward module src.model.RLActionPolicies module src.model.RLActionPolicies.actPolicy module src.model.RLActionPolicies.definedPolicy module src.model.RLActionPolicies.nnPolicy module src.model.RLEnvExitFunctions module src.model.RLEnvExitFunctions.accFunctions module src.model.RLEnvExitFunctions.exitFunctions module src.model.RLObservationPP module src.model.RLObservationPP.clsCmExp module src.model.RLObservationPP.cmExpansion module src.model.RLObservationPP.obsPP module src.model.RLPerfEvaluation module src.model.RLPerfEvaluation.clsRewExit module src.model.RLPerfEvaluation.correlation module src.model.RLPerfEvaluation.perfEval module src.model.RLPerfEvaluation.rewardExit module src.params module src.params.parameters module src.params.paramHandler module src.params.paramWrapper module src.plot module src.plot.plot_functions module src.plot.plotter module src.plot.study module src.util module src.util.constants module src.util.dataManger module src.util.helper module src.util.strings module state (SNN2.src.model.managers.ClassificationEnv.ClassificationEnv property) (SNN2.src.model.managers.SiameseEnv.SiameseEnv property) (src.model.managers.ClassificationEnv.ClassificationEnv property) (src.model.managers.SiameseEnv.SiameseEnv property) static_get_idx() (in module SNN2.src.model.layers.tf_cure.tf_cluster) (in module src.model.layers.tf_cure.tf_cluster) static_merge_clst() (in module SNN2.src.model.layers.tf_cure.tf_cluster) (in module src.model.layers.tf_cure.tf_cluster) static_select_representors() (in module SNN2.src.model.layers.tf_cure.tf_cluster) (in module src.model.layers.tf_cure.tf_cluster) step() (SNN2.src.model.reinforcement.RL_actorCritic.RL_AC_manager method) (SNN2.src.model.reinforcement.RL_actorCritic_intermidiate.RL_AC_manager_intermidiate method) (src.model.reinforcement.RL_actorCritic.RL_AC_manager method) (src.model.reinforcement.RL_actorCritic_intermidiate.RL_AC_manager_intermidiate method) stepFit() (in module SNN2.src.model.fit.fitWrapper) (in module src.model.fit.fitWrapper) str_interpolate() (in module SNN2.src.io.commandInterpolation) (in module src.io.commandInterpolation) study() (in module SNN2.src.params.paramWrapper) (in module src.params.paramWrapper) sub_obj_type (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) subIdx() (in module SNN2.src.core.gray.grayWrapper) (in module src.core.gray.grayWrapper) summary() (SNN2.src.model.modelHandler.DefaultModelHandler method) (src.model.modelHandler.DefaultModelHandler method) swap_ep_limit (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) swap_function (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute)

T

take() (SNN2.src.model.replayMemory.mem.ReplayMemory method) (src.model.replayMemory.mem.ReplayMemory method) tensorBoard() (in module SNN2.src.model.callbacks.callbacksWrapper) (in module src.model.callbacks.callbacksWrapper) tensorboard_path (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) test_step() (SNN2.src.model.custom.ActorCriticModel.ActorCriticModel method) (SNN2.src.model.custom.classification.ClassificationModel method) (SNN2.src.model.custom.siamese.SiameseModel method) (SNN2.src.model.custom.siamese_reps.SiameseModelRepeat method) (src.model.custom.ActorCriticModel.ActorCriticModel method) (src.model.custom.classification.ClassificationModel method) (src.model.custom.siamese.SiameseModel method) (src.model.custom.siamese_reps.SiameseModelRepeat method) testParam() (in module SNN2.src.model.callbacks.testParam) (in module src.model.callbacks.testParam) tf_clusters (class in SNN2.src.model.layers.tf_cure.tf_cluster) (class in src.model.layers.tf_cure.tf_cluster) tf_concat() (in module SNN2.src.model.layers.tf_cure.tf_cluster) (in module src.model.layers.tf_cure.tf_cluster) tf_prediction_flag() (in module SNN2.src.core.gray.grayWrapper) (in module src.core.gray.grayWrapper) tf_rng_key (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) tf_rtree (class in SNN2.src.model.layers.tf_cure.tree) (class in src.model.layers.tf_cure.tree) TfCluster (class in SNN2.src.model.layers.CURELayer.algorithm) (class in SNN2.src.model.layers.CURELayer.tf_cluster) (class in src.model.layers.CURELayer.algorithm) (class in src.model.layers.CURELayer.tf_cluster) TfClusters (class in SNN2.src.model.layers.CURELayer.algorithm) (class in SNN2.src.model.layers.CURELayer.tf_cluster) (class in src.model.layers.CURELayer.algorithm) (class in src.model.layers.CURELayer.tf_cluster) TfCURE (class in SNN2.src.model.layers.CURELayer.algorithm) (class in SNN2.src.model.layers.CURELayer.tf_CURE) (class in SNN2.src.model.layers.tf_cure.cure) (class in src.model.layers.CURELayer.algorithm) (class in src.model.layers.CURELayer.tf_CURE) (class in src.model.layers.tf_cure.cure) timeit() (in module SNN2.src.decorators.decorators) (in module src.decorators.decorators) timeit_cnt() (in module SNN2.src.contextManagers.contextManagers) (in module src.contextManagers.contextManagers)

TimeitContext (class in SNN2.src.contextManagers.contextManagers) (class in src.contextManagers.contextManagers) TN_confusion_matrix (class in SNN2.src.model.metrics.MNO_cm) (class in src.model.metrics.MNO_cm) toTfDatasetsMNIST() (in module SNN2.src.actions.dataFrame) (in module src.actions.dataFrame) TP_confusion_matrix (class in SNN2.src.model.metrics.MNO_cm) (class in src.model.metrics.MNO_cm) train() (SNN2.src.model.reinforcement.RL_actorCritic.RL_AC_manager method) (SNN2.src.model.reinforcement.RL_actorCritic_intermidiate.RL_AC_manager_intermidiate method) (src.model.reinforcement.RL_actorCritic.RL_AC_manager method) (src.model.reinforcement.RL_actorCritic_intermidiate.RL_AC_manager_intermidiate method) train_dst_key (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) train_enhancement() (in module SNN2.src.decorators.decorators) (in module src.decorators.decorators) train_epoch() (SNN2.src.model.reinforcement.ActorCritic.ACModelHandler method) (src.model.reinforcement.ActorCritic.ACModelHandler method) train_step() (SNN2.src.model.custom.ActorCriticModel.ActorCriticModel method) (SNN2.src.model.custom.classification.ClassificationModel method) (SNN2.src.model.custom.siamese.SiameseModel method) (SNN2.src.model.custom.siamese_reps.SiameseModelRepeat method) (src.model.custom.ActorCriticModel.ActorCriticModel method) (src.model.custom.classification.ClassificationModel method) (src.model.custom.siamese.SiameseModel method) (src.model.custom.siamese_reps.SiameseModelRepeat method) Transform (class in SNN2.src.plot.study) (class in src.plot.study) tree (SNN2.src.model.layers.CURELayer.tf_CURE.TfCURE property) (SNN2.src.model.layers.tf_cure.cure.TfCURE property) (SNN2.src.model.layers.tf_cure.tree.tf_rtree property) (src.model.layers.CURELayer.tf_CURE.TfCURE property) (src.model.layers.tf_cure.cure.TfCURE property) (src.model.layers.tf_cure.tree.tf_rtree property) trn_val_test_splitMNIST() (in module SNN2.src.actions.dataFrame) (in module src.actions.dataFrame) TrnValTstSeparation() (in module SNN2.src.actions.separation) (in module src.actions.separation) two_samples_mahalanobis() (SNN2.src.model.layers.distanceLayer.mahalanobis_distance method) (src.model.layers.distanceLayer.mahalanobis_distance method) TypeSpecific_param (class in SNN2.src.params.parameters) (class in src.params.parameters)

U

U_confusion_matrix (class in SNN2.src.model.metrics.MNO_cm) (class in src.model.metrics.MNO_cm) umap2df() (SNN2.src.plot.study.Transform class method) (src.plot.study.Transform class method) undecided() (in module SNN2.src.model.reward.original) (in module src.model.reward.original) unix_time (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) update() (SNN2.src.io.configuration.ConfHandler method) (src.io.configuration.ConfHandler method) update_closest() (SNN2.src.model.layers.tf_cure.tf_cluster.tf_clusters method) (src.model.layers.tf_cure.tf_cluster.tf_clusters method) update_memory() (SNN2.src.model.reinforcement.RL_actorCritic.RL_AC_manager method) (SNN2.src.model.reinforcement.RL_actorCritic_intermidiate.RL_AC_manager_intermidiate method) (src.model.reinforcement.RL_actorCritic.RL_AC_manager method) (src.model.reinforcement.RL_actorCritic_intermidiate.RL_AC_manager_intermidiate method)

update_reverse_closest() (SNN2.src.model.layers.CURELayer.tf_cluster.TfClusters method) (src.model.layers.CURELayer.tf_cluster.TfClusters method) update_reward() (SNN2.src.model.reinforcement.RL_actorCritic_intermidiate.RL_AC_manager_intermidiate method) (src.model.reinforcement.RL_actorCritic_intermidiate.RL_AC_manager_intermidiate method) update_state() (SNN2.src.model.metrics.metrics.distanceAccuracy method) (SNN2.src.model.metrics.MNO_cm.generic_cm_object method) (src.model.metrics.metrics.distanceAccuracy method) (src.model.metrics.MNO_cm.generic_cm_object method) uRewardLimit() (in module SNN2.src.model.reward.accuracyMap) (in module src.model.reward.accuracyMap) uRewardLimitPositive() (in module SNN2.src.model.reward.accuracyMap) (in module src.model.reward.accuracyMap)

V

val_dst_key (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) validation_flag() (in module SNN2.src.core.gray.grayWrapper) (in module src.core.gray.grayWrapper) verbose() (in module SNN2.src.model.callbacks.verbose) (in module src.model.callbacks.verbose) verbose_help (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) violin() (in module SNN2.src.plot.plot_functions) (in module src.plot.plot_functions)

vmaf_column (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) vmaf_threshold (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) VMAFFlow (class in SNN2.src.core.data.flow.VMAF) (class in src.core.data.flow.VMAF) vmafXsecond_column (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute)

W

WARNING (SNN2.src.io.logger.LogHandler attribute) (src.io.logger.LogHandler attribute) weightAccuracy() (in module SNN2.src.model.reward.accuracyMap) (in module src.model.reward.accuracyMap) window_size (SNN2.src.util.strings.s attribute) (src.util.strings.s attribute) window_to_group() (in module SNN2.src.actions.separation) (in module src.actions.separation) window_to_group_mvno() (in module SNN2.src.actions.separation) (in module src.actions.separation) windowDropOutliers() (in module SNN2.src.actions.separation) (in module src.actions.separation) windowing() (in module SNN2.src.actions.windowing) (in module src.actions.windowing) windowsSeparation() (in module SNN2.src.actions.separation) (in module src.actions.separation)

windowsSeparation_mvno() (in module SNN2.src.actions.separation) (in module src.actions.separation) windowsSeparation_vmaf() (in module SNN2.src.actions.separation) (in module src.actions.separation) write() (in module SNN2.src.actions.dataFrame) (in module src.actions.dataFrame) (SNN2.src.io.logger.LogHandler method) (src.io.logger.LogHandler method) write_msg() (SNN2.src.model.modelHandler.DefaultModelHandler method) (SNN2.src.model.replayMemory.mem.ReplayMemory method) (src.model.modelHandler.DefaultModelHandler method) (src.model.replayMemory.mem.ReplayMemory method) wrong() (in module SNN2.src.model.losses.worst) (in module src.model.losses.worst)

Z

zoneAcc() (in module SNN2.src.model.reward.accuracyMap) (in module src.model.reward.accuracyMap) zoneBlackHole() (in module SNN2.src.model.reward.accuracyMap) (in module src.model.reward.accuracyMap) zoneBonusMalus() (in module SNN2.src.model.reward.accuracyMap) (in module src.model.reward.accuracyMap) zoneCM() (in module SNN2.src.model.reward.accuracyMap) (in module src.model.reward.accuracyMap)

zoneExpansion() (in module SNN2.src.model.RLObservationPP.cmExpansion) (in module src.model.RLObservationPP.cmExpansion) zoneExpansionNorm() (in module SNN2.src.model.RLObservationPP.cmExpansion) (in module src.model.RLObservationPP.cmExpansion) zoneParams() (in module SNN2.src.model.reward.accuracyMap) (in module src.model.reward.accuracyMap)