Index A | B | C | D | E | F | G | H | I | L | M | O | P | R | S | T | U A accuracy_history (bacon.baconNet.TrainingSetup attribute) actual_max_epochs (bacon.baconNet.TrainingSetup attribute) aggregate() (bacon.aggregators.base.AggregatorBase method) (bacon.aggregators.lsp.softmax_lsp.PerNodeLspSoftmaxAggregator method) (bacon.aggregators.math.operator_set.OperatorSetAggregator method) aggregate_float() (bacon.aggregators.base.AggregatorBase method) (bacon.aggregators.bool.min_max.MinMaxAggregator method) (bacon.aggregators.lsp.full_weight.FullWeightAggregator method) (bacon.aggregators.lsp.generic_gl.GenericGLAggregator method) (bacon.aggregators.lsp.half_weight.HalfWeightAggregator method) (bacon.aggregators.lsp.softmax_lsp.LspSoftmaxAggregator method) (bacon.aggregators.math.operator_set.OperatorSetAggregator method) (bacon.FullWeightAggregator method) (bacon.HalfWeightAggregator method) (bacon.MinMaxAggregator method) aggregate_tensor() (bacon.aggregators.base.AggregatorBase method) (bacon.aggregators.bool.min_max.MinMaxAggregator method) (bacon.aggregators.lsp.full_weight.FullWeightAggregator method) (bacon.aggregators.lsp.generic_gl.GenericGLAggregator method) (bacon.aggregators.lsp.half_weight.HalfWeightAggregator method) (bacon.aggregators.lsp.softmax_lsp.LspSoftmaxAggregator method) (bacon.aggregators.math.operator_set.OperatorSetAggregator method) (bacon.FullWeightAggregator method) (bacon.HalfWeightAggregator method) (bacon.MinMaxAggregator method) aggregation_frozen (bacon.baconNet.TrainingSetup attribute) AggregatorBase (class in bacon.aggregators.base) anneal_alternating_tree_gumbel() (bacon.binaryTreeLogicNet.binaryTreeLogicNet method) anneal_alternating_tree_temperature() (bacon.binaryTreeLogicNet.binaryTreeLogicNet method) anneal_full_tree_gumbel() (bacon.binaryTreeLogicNet.binaryTreeLogicNet method) anneal_full_tree_temperature() (bacon.binaryTreeLogicNet.binaryTreeLogicNet method) anneal_over_epochs (bacon.baconNet.TrainingSetup attribute) anneal_tau() (bacon.aggregators.lsp.softmax_lsp.LspSoftmaxAggregator method) ArithmeticOperatorSet (class in bacon.aggregators.math.operator_set) attach_to_tree() (bacon.aggregators.lsp.softmax_lsp.PerNodeLspSoftmaxAggregator method) (bacon.aggregators.math.operator_set.OperatorSetAggregator method) B bacon module bacon.aggregators.base module bacon.aggregators.bool.min_max module bacon.aggregators.lsp.full_weight module bacon.aggregators.lsp.generic_gl module bacon.aggregators.lsp.half_weight module bacon.aggregators.lsp.softmax_lsp module bacon.aggregators.math.operator_set module bacon.baconNet module bacon.binaryTreeLogicNet module baconNet (class in bacon.baconNet) best_confidence (bacon.baconNet.TrainingSetup attribute) best_frozen_loss (bacon.baconNet.TrainingSetup attribute) best_frozen_state (bacon.baconNet.TrainingSetup attribute) best_loss (bacon.baconNet.TrainingSetup attribute) best_loss_for_convergence (bacon.baconNet.TrainingSetup attribute) best_overall_epoch (bacon.baconNet.TrainingSetup attribute) best_overall_loss (bacon.baconNet.TrainingSetup attribute) best_overall_state (bacon.baconNet.TrainingSetup attribute) binaryTreeLogicNet (class in bacon.binaryTreeLogicNet) BoolOperatorSet (class in bacon.aggregators.math.operator_set) BoolOperatorSetWithIdentity (class in bacon.aggregators.math.operator_set) build_balanced_tree() (bacon.binaryTreeLogicNet.binaryTreeLogicNet method) build_paired_tree() (bacon.binaryTreeLogicNet.binaryTreeLogicNet method) C criterion (bacon.baconNet.TrainingSetup attribute) D describe() (bacon.aggregators.lsp.softmax_lsp.LspSoftmaxAggregator method) (bacon.aggregators.lsp.softmax_lsp.PerNodeLspSoftmaxAggregator method) E entropy() (bacon.aggregators.lsp.softmax_lsp.LspSoftmaxAggregator method) (bacon.aggregators.lsp.softmax_lsp.PerNodeLspSoftmaxAggregator method) entropy_loss() (bacon.aggregators.lsp.softmax_lsp.LspSoftmaxAggregator method) epoch_when_frozen (bacon.baconNet.TrainingSetup attribute) epochs_since_improvement (bacon.baconNet.TrainingSetup attribute) epochs_without_confidence_improvement (bacon.baconNet.TrainingSetup attribute) epochs_without_improvement (bacon.baconNet.TrainingSetup attribute) evaluate() (bacon.baconNet.baconNet method) F find_best_model() (bacon.baconNet.baconNet method) forward() (bacon.aggregators.lsp.generic_gl.GenericGLAggregator method) (bacon.aggregators.lsp.softmax_lsp.LspSoftmaxAggregator method) (bacon.baconNet.baconNet method) (bacon.binaryTreeLogicNet.binaryTreeLogicNet method) freeze_confidence_warning_shown (bacon.baconNet.TrainingSetup attribute) frozen_lr_reduced (bacon.baconNet.TrainingSetup attribute) FullWeightAggregator (class in bacon) (class in bacon.aggregators.lsp.full_weight) G GenericGLAggregator (class in bacon.aggregators.lsp.generic_gl) get_alpha() (bacon.aggregators.lsp.softmax_lsp.PerNodeLspSoftmaxAggregator method) get_alternating_tree_balance_loss() (bacon.binaryTreeLogicNet.binaryTreeLogicNet method) get_alternating_tree_egress_loss() (bacon.binaryTreeLogicNet.binaryTreeLogicNet method) get_alternating_tree_exponent_regularization_loss() (bacon.binaryTreeLogicNet.binaryTreeLogicNet method) get_alternating_tree_num_nodes() (bacon.binaryTreeLogicNet.binaryTreeLogicNet method) get_alternating_tree_structure_description() (bacon.binaryTreeLogicNet.binaryTreeLogicNet method) get_default_op_names() (bacon.aggregators.math.operator_set.ArithmeticOperatorSet method) (bacon.aggregators.math.operator_set.BoolOperatorSet method) (bacon.aggregators.math.operator_set.BoolOperatorSetWithIdentity method) (bacon.aggregators.math.operator_set.OperatorSetAggregator method) get_full_tree_confidence() (bacon.binaryTreeLogicNet.binaryTreeLogicNet method) get_full_tree_egress_loss() (bacon.binaryTreeLogicNet.binaryTreeLogicNet method) get_full_tree_ingress_balance_loss() (bacon.binaryTreeLogicNet.binaryTreeLogicNet method) get_full_tree_ingress_loss() (bacon.binaryTreeLogicNet.binaryTreeLogicNet method) get_full_tree_scale_regularization_loss() (bacon.binaryTreeLogicNet.binaryTreeLogicNet method) get_full_tree_structure() (bacon.binaryTreeLogicNet.binaryTreeLogicNet method) get_input_labels() (bacon.binaryTreeLogicNet.binaryTreeLogicNet method) get_transform_matrix() (bacon.aggregators.lsp.generic_gl.GenericGLAggregator method) get_weights() (bacon.aggregators.lsp.softmax_lsp.PerNodeLspSoftmaxAggregator method) get_weights_for_andness() (bacon.aggregators.lsp.softmax_lsp.LspSoftmaxAggregator method) H HalfWeightAggregator (class in bacon) (class in bacon.aggregators.lsp.half_weight) harden_alternating_tree() (bacon.binaryTreeLogicNet.binaryTreeLogicNet method) harden_full_tree() (bacon.binaryTreeLogicNet.binaryTreeLogicNet method) harden_operators() (bacon.aggregators.math.operator_set.OperatorSetAggregator method) has_converged_before_freeze (bacon.baconNet.TrainingSetup attribute) I inference() (bacon.baconNet.baconNet method) inference_raw() (bacon.baconNet.baconNet method) L load_model() (bacon.baconNet.baconNet method) (bacon.binaryTreeLogicNet.binaryTreeLogicNet method) loss_history (bacon.baconNet.TrainingSetup attribute) LspSoftmaxAggregator (class in bacon.aggregators.lsp.softmax_lsp) M make_param_groups() (bacon.baconNet.baconNet method) MinMaxAggregator (class in bacon) (class in bacon.aggregators.bool.min_max) module bacon bacon.aggregators.base bacon.aggregators.bool.min_max bacon.aggregators.lsp.full_weight bacon.aggregators.lsp.generic_gl bacon.aggregators.lsp.half_weight bacon.aggregators.lsp.softmax_lsp bacon.aggregators.math.operator_set bacon.baconNet bacon.binaryTreeLogicNet O operator_initial_tau (bacon.baconNet.TrainingSetup attribute) operator_tau_decay_rate (bacon.baconNet.TrainingSetup attribute) OperatorSetAggregator (class in bacon.aggregators.math.operator_set) optimizer (bacon.baconNet.TrainingSetup attribute) original_sparsity_weight (bacon.baconNet.TrainingSetup attribute) P param_groups (bacon.baconNet.TrainingSetup attribute) perm_temp_decay_rate (bacon.baconNet.TrainingSetup attribute) PerNodeLspSoftmaxAggregator (class in bacon.aggregators.lsp.softmax_lsp) pos_weight (bacon.baconNet.TrainingSetup attribute) prune_features() (bacon.baconNet.baconNet method) (bacon.binaryTreeLogicNet.binaryTreeLogicNet method) R r() (bacon.HalfWeightAggregator method) reset_optimizer() (bacon.binaryTreeLogicNet.binaryTreeLogicNet method) S save_model() (bacon.baconNet.baconNet method) (bacon.binaryTreeLogicNet.binaryTreeLogicNet method) set_tau() (bacon.aggregators.lsp.softmax_lsp.LspSoftmaxAggregator method) soften_operators() (bacon.aggregators.math.operator_set.OperatorSetAggregator method) start_forward() (bacon.aggregators.lsp.softmax_lsp.PerNodeLspSoftmaxAggregator method) (bacon.aggregators.math.operator_set.OperatorSetAggregator method) T task_type (bacon.baconNet.TrainingSetup attribute) tau (bacon.aggregators.lsp.softmax_lsp.LspSoftmaxAggregator property) temp_paused (bacon.baconNet.TrainingSetup attribute) train_model() (bacon.baconNet.baconNet method) (bacon.binaryTreeLogicNet.binaryTreeLogicNet method) TrainingSetup (class in bacon.baconNet) trans_temp_decay_rate (bacon.baconNet.TrainingSetup attribute) transform() (bacon.aggregators.lsp.generic_gl.GenericGLAggregator method) transform_regularization() (bacon.aggregators.lsp.generic_gl.GenericGLAggregator method) transformation_converged (bacon.baconNet.TrainingSetup attribute) U unharden_alternating_tree() (bacon.binaryTreeLogicNet.binaryTreeLogicNet method) unharden_full_tree() (bacon.binaryTreeLogicNet.binaryTreeLogicNet method) use_temperature_annealing (bacon.baconNet.TrainingSetup attribute)