Index

A

ACCURACY (Metric attribute), [1], [2] Adam (class in neuralogic.nn) (class in neuralogic.nn.optim) (class in neuralogic.nn.optim.adam) add() (Dataset method), [1] (SpecialPredicateFactory method) add_csv_file() (CSVDataset method), [1] add_data() (TensorDataset method), [1] add_db_source() (DBDataset method), [1] add_eval() (SpecialPredicateFactory method) add_example() (Dataset method), [1] add_examples() (Dataset method), [1] add_handler() (in module neuralogic.logging) add_log_handler() (in module neuralogic) (in module neuralogic.logging) add_metadata_function() (JavaFactory method) add_module() (Model method), [1], [2] add_parametrized_function() (JavaFactory method) add_queries() (Dataset method), [1] add_query() (Dataset method), [1] add_rule() (Model method), [1], [2] add_rules() (Model method), [1], [2] add_sample() (Dataset method), [1] add_samples() (Dataset method), [1] agg_terms (SoftmaxAggregation attribute) Aggregation (class in neuralogic.core) (class in neuralogic.core.constructs.function) (class in neuralogic.core.constructs.function.enum) aggregation (Metadata attribute), [1] Aggregation (NeuronType attribute), [1]

AggregationFunction (class in neuralogic.core.constructs.function.function) ALL (Level attribute) alldiff() (SpecialPredicateFactory method) anypred() (SpecialPredicateFactory method) APPNPConv (class in neuralogic.nn) (class in neuralogic.nn.module) (class in neuralogic.nn.module.gnn.appnp), [1] ArithmeticLR (class in neuralogic.nn.optim.lr_scheduler) (class in neuralogic.nn.optim.lr_scheduler.arithmetic) arity (Atom property), [1] (Predicate attribute) Atom (class in neuralogic.core.builder) (class in neuralogic.core.builder.components) (NeuronType attribute), [1] atom_to_clause() (JavaFactory method) AtomFactory (class in neuralogic.core.constructs.factories) atoms (Grounding property), [1] attach_activation_function() (BaseRelation method) (WeightedRelation method) Attention (class in neuralogic.nn) (class in neuralogic.nn.module) (class in neuralogic.nn.module.general.attention), [1] AVG (Aggregation attribute), [1], [2] (Combination attribute), [1], [2] avg (F attribute), [1], [2], [3] avg_agg (F attribute), [1], [2], [3] AvgPooling (class in neuralogic.nn) (class in neuralogic.nn.module) (class in neuralogic.nn.module.general.pooling), [1] axis (ConcatAggregation attribute) (ConcatCombination attribute)

B

BackendError, [1] BaseDataset (class in neuralogic.dataset) (class in neuralogic.dataset.base) BaseRelation (class in neuralogic.core.constructs.relation) best_epoch (TrainerHistory attribute), [1], [2], [3], [4], [5] best_val_loss (TrainerHistory attribute), [1], [2], [3], [4], [5] betas (Adam property), [1], [2] body (Rule attribute), [1] build() (Model method), [1], [2] build_dataset() (DatasetBuilder method), [1] (NeuralModule method)

build_examples() (DatasetBuilder method), [1] build_model() (Builder method), [1] build_model_from_file() (Builder method), [1] build_queries() (DatasetBuilder method), [1] Builder (class in neuralogic.core.builder) (class in neuralogic.core.builder.builder) BuiltDataset (class in neuralogic.core) (class in neuralogic.core.builder) (class in neuralogic.core.builder.dataset) BUP (Grounder attribute), [1]

C

can_flatten (AggregationFunction attribute) (CombinationFunction attribute) (Function attribute), [1] (TransformationFunction attribute) chain_pruning (Settings property), [1], [2] (SettingsProxy property), [1] CheckpointCallback (class in neuralogic.nn) (class in neuralogic.nn.trainer) (class in neuralogic.nn.trainer.callbacks) clear_handlers() (in module neuralogic.logging) clone() (Model method), [1], [2] COLOR (Formatter attribute) cols (Slice attribute) Combination (class in neuralogic.core) (class in neuralogic.core.constructs.function) (class in neuralogic.core.constructs.function.enum) combination (Metadata attribute), [1] CombinationFunction (class in neuralogic.core.constructs.function.function) combine() (Metadata method), [1] compute_metrics() (in module neuralogic.nn) (in module neuralogic.nn.trainer) (in module neuralogic.nn.trainer.metrics) CONCAT (Aggregation attribute), [1], [2] (Combination attribute), [1], [2] concat (F attribute), [1], [2], [3] concat_agg (F attribute), [1], [2], [3] ConcatAggregation (class in neuralogic.core.constructs.function.concat) ConcatCombination (class in neuralogic.core.constructs.function.concat)

CONFIG (Level attribute) ConfigurationError, [1] Constant (class in neuralogic.core.constructs.term) (class in neuralogic.nn) (class in neuralogic.nn.init) CONSTANT (InitializerNames attribute) ConstantFactory (class in neuralogic.core.constructs.factories) Converter (class in neuralogic.experimental.db.converter) ConvertibleDataset (class in neuralogic.dataset) (class in neuralogic.dataset.base) copy() (Metadata method), [1] COSSIM (Combination attribute), [1], [2] cossim (F attribute), [1], [2], [3] COUNT (Aggregation attribute), [1], [2] (Combination attribute), [1], [2] count (F attribute), [1], [2], [3] count_agg (F attribute), [1], [2], [3] create_disconnected_proxy() (Settings method), [1], [2] create_proxy() (Settings method), [1], [2] CrossEntropy (class in neuralogic.nn) (class in neuralogic.nn.loss) CROSSENTROPY (ErrorFunctionNames attribute) CROSSSUM (Combination attribute), [1], [2] crossum (F attribute), [1], [2], [3] csv_source (CSVFile attribute), [1] CSVDataset (class in neuralogic.dataset) (class in neuralogic.dataset.csv) CSVFile (class in neuralogic.dataset) (class in neuralogic.dataset.csv)

D

Data (class in neuralogic.dataset) (class in neuralogic.dataset.tensor) Dataset (class in neuralogic.dataset) (class in neuralogic.dataset.logic) DatasetBuilder (class in neuralogic.core.builder) (class in neuralogic.core.builder.dataset_builder) DatasetError, [1] DBDataset (class in neuralogic.dataset) (class in neuralogic.dataset.db) DBSource (class in neuralogic.dataset) (class in neuralogic.dataset.db) debug_exporting (SettingsProxy property), [1] decay() (LRDecay method), [1] default_fact_value (SettingsProxy property), [1] default_value (CSVFile attribute), [1] (DBSource attribute), [1]

derivable_queries() (Model method), [1], [2] div_eval() (SpecialPredicateFactory method) draw() (Grounding method), [1] (in module neuralogic.utils.visualize) (NeuralModule method) (NeuralSample method), [1] (Sample method), [1] draw_grounding() (in module neuralogic.utils.visualize) draw_model() (in module neuralogic.utils.visualize) draw_sample() (in module neuralogic.utils.visualize) dump() (BaseDataset method), [1] (FileDataset method), [1] (TensorDataset method), [1] duplicate_grounding (Metadata attribute), [1]

E

EarlyStoppingCallback (class in neuralogic.nn) (class in neuralogic.nn.trainer) (class in neuralogic.nn.trainer.callbacks) ELPRODUCT (Combination attribute), [1], [2] elproduct (F attribute), [1], [2], [3] EncoderBlock (class in neuralogic.nn.module.general.transformer) eps (Adam property), [1], [2] eq() (SpecialPredicateFactory method)

error_function (Settings property), [1], [2] (SettingsProxy property), [1] ErrorFunction (class in neuralogic.nn) (class in neuralogic.nn.loss) ErrorFunctionNames (class in neuralogic.nn.loss) example (Sample attribute), [1] EXAMPLE_PER_SOURCE (Mode attribute), [1] exp (F attribute), [1], [2], [3] EXP (Transformation attribute), [1], [2]

F

F (class in neuralogic) (class in neuralogic.core) (class in neuralogic.core.constructs.function) (class in neuralogic.core.constructs.function.enum) F1_MACRO (Metric attribute), [1], [2] Fact (NeuronType attribute), [1] Family() (in module neuralogic.utils.data) FContainer (class in neuralogic.core.constructs.function) (class in neuralogic.core.constructs.function.function_container) FileDataset (class in neuralogic.dataset) (class in neuralogic.dataset.file) FINE (Level attribute) FINER (Level attribute) FINEST (Level attribute) fit() (Trainer method), [1], [2]

fixed() (WeightedRelation method) Formatter (class in neuralogic.logging) formatter (LogHandler attribute), [1] forward() (NeuralModule method) from_args() (Sources static method) from_iterable() (Metadata static method), [1] from_java() (ValueFactory static method) from_pyg() (Data static method), [1] from_settings() (Sources static method) function (BaseRelation attribute) Function (class in neuralogic.core.constructs.function) (class in neuralogic.core.constructs.function.function) function (FContainer attribute), [1] function_graph (FunctionGraph attribute) FunctionGraph (class in neuralogic.core.constructs.function.function_graph)

G

GATv2Conv (class in neuralogic.nn) (class in neuralogic.nn.module) (class in neuralogic.nn.module.gnn.gatv2), [1] GCNConv (class in neuralogic.nn) (class in neuralogic.nn.module) (class in neuralogic.nn.module.gnn.gcn), [1] GENConv (class in neuralogic.nn) (class in neuralogic.nn.module) (class in neuralogic.nn.module.gnn.gen), [1] generate_features() (Dataset method), [1] GeometricLR (class in neuralogic.nn.optim.lr_scheduler) (class in neuralogic.nn.optim.lr_scheduler.geometric) geq() (SpecialPredicateFactory method) get() (AggregationFunction method) (AtomFactory method) (ConcatAggregation method) (ConcatCombination method) (ConstantFactory method) (Function method), [1] (FunctionGraph method) (HiddenPredicateFactory method) (Reshape method) (Slice method) (SoftmaxAggregation method) (SpecialPredicateFactory method) (VariableFactory method) get_aggregation_function() (SettingsProxy method), [1] get_atoms() (Grounding method), [1] get_builders() (Builder static method), [1] get_combination_function() (SettingsProxy method), [1] get_conjunction() (JavaFactory method) get_default_graphviz_path() (in module neuralogic) (in module neuralogic.setup) get_drawing_settings() (in module neuralogic.utils.visualize) get_fact() (NeuralSample method), [1] get_fact_sql_function() (Converter method) get_flattened_nodes() (FContainer static method), [1] get_generic_relation() (JavaFactory method) get_graphviz_path() (in module neuralogic.utils.visualize) get_grounding_drawer() (in module neuralogic.utils.visualize) get_helpers() (Converter method) get_lifted_example() (JavaFactory method) get_lr_decay() (Optimizer method), [1], [2] get_metadata() (JavaFactory method) get_model_drawer() (in module neuralogic.utils.visualize) get_neurons() (NeuralSample method), [1] get_new_weight_factory() (JavaFactory method) get_predicate() (AtomFactory static method) (JavaFactory method)

get_predicate_metadata_pair() (JavaFactory method) get_query() (Data static method), [1] (JavaFactory method) get_relation() (JavaFactory method) get_relation_interface_sql_function() (Converter method) get_rule() (JavaFactory method) get_rule_aggregation_function() (Converter method) get_rule_sql_function() (Converter method) get_sample_drawer() (in module neuralogic.utils.visualize) get_settings() (Constant method), [1] (Glorot method), [1] (He method), [1] (Initializer method), [1] (Uniform method), [1] get_std_functions() (Converter method) get_term() (JavaFactory method) get_transformation_function() (SettingsProxy method), [1] get_value() (ValueFactory method) get_valued_fact() (JavaFactory method) get_variable_factory() (JavaFactory method) get_weight() (JavaFactory method) GINConv (class in neuralogic.nn) (class in neuralogic.nn.module) (class in neuralogic.nn.module.gnn.gin), [1] GINEConv (class in neuralogic.nn) (class in neuralogic.nn.module) (class in neuralogic.nn.module.gnn.gine), [1] Glorot (class in neuralogic.nn) (class in neuralogic.nn.init) GLOROT (InitializerNames attribute) gradient (Neuron property), [1] GRINGO (Grounder attribute), [1] ground() (NeuralModule method) ground_dataset() (DatasetBuilder method), [1] ground_from_logic_samples() (Builder method), [1] ground_from_sources() (Builder method), [1] GroundedDataset (class in neuralogic.core) (class in neuralogic.core.builder) (class in neuralogic.core.builder.dataset) Grounder (class in neuralogic.core) (class in neuralogic.core.enums) grounder (Settings property), [1], [2] (SettingsProxy property), [1] Grounding (class in neuralogic.core.builder) (class in neuralogic.core.builder.components) GRU (class in neuralogic.nn) (class in neuralogic.nn.module) (class in neuralogic.nn.module.general.gru), [1] GRUCell (class in neuralogic.nn.module.general.gru) gt() (SpecialPredicateFactory method)

H

He (class in neuralogic.nn) (class in neuralogic.nn.init) HE (InitializerNames attribute) head (Rule attribute), [1]

header (CSVFile attribute), [1] hidden (Predicate attribute) (SpecialPredicateFactory property) HiddenPredicateFactory (class in neuralogic.core.constructs.factories)

I

identity (F attribute), [1], [2], [3] IDENTITY (Transformation attribute), [1], [2] INFO (Level attribute) initial_seed() (in module neuralogic) (in module neuralogic.setup) initialize() (Adam method), [1], [2] (in module neuralogic) (in module neuralogic.setup) (Optimizer method), [1], [2] (SGD method), [1], [2] Initializer (class in neuralogic.nn) (class in neuralogic.nn.init) initializer (Settings property), [1], [2] (SettingsProxy property), [1] initializer_const (SettingsProxy property), [1] initializer_uniform_scale (SettingsProxy property), [1] InitializerNames (class in neuralogic.nn.init)

inverse (F attribute), [1], [2], [3] INVERSE (Transformation attribute), [1], [2] is_fixed (WeightedRelation attribute) is_initialized() (in module neuralogic) (in module neuralogic.setup) is_jupyter() (in module neuralogic.utils.visualize) is_parametrized() (ConcatAggregation method) (ConcatCombination method) (Function method), [1] (FunctionGraph method) (Reshape method) (Slice method) (SoftmaxAggregation method) is_simple() (Glorot method), [1] (He method), [1] (Initializer method), [1] iso_value_compression (Settings property), [1], [2] (SettingsProxy property), [1]

J

JavaFactory (class in neuralogic.core.constructs.java_objects)

L

leaky_relu (F attribute), [1], [2], [3] LEAKY_RELU (Transformation attribute), [1], [2] learnable (Metadata attribute), [1] learning_rates (TrainerHistory attribute), [1], [2], [3], [4], [5] leq() (SpecialPredicateFactory method) Level (class in neuralogic.logging) level (LogHandler attribute), [1] Linear (class in neuralogic.nn) (class in neuralogic.nn.module) (class in neuralogic.nn.module.general.linear), [1] literals (RuleBody attribute), [1] load() (Model method), [1], [2] load_state_dict() (NeuralModule method) log (F attribute), [1], [2], [3] LOG (Transformation attribute), [1], [2]

LogHandler (class in neuralogic) (class in neuralogic.logging) Longtail (class in neuralogic.nn) (class in neuralogic.nn.init) LONGTAIL (InitializerNames attribute) lr (Optimizer property), [1], [2] LRDecay (class in neuralogic.nn.optim.lr_scheduler) (class in neuralogic.nn.optim.lr_scheduler.lr_decay) LSTM (class in neuralogic.nn) (class in neuralogic.nn.module) (class in neuralogic.nn.module.general.lstm), [1] LSTMCell (class in neuralogic.nn.module.general.lstm) lt() (SpecialPredicateFactory method) lukasiewicz (F attribute), [1], [2], [3] LUKASIEWICZ (Transformation attribute), [1], [2]

M

MAE (Metric attribute), [1], [2] MAGNNLinear (class in neuralogic.nn) (class in neuralogic.nn.module) (class in neuralogic.nn.module.meta.magnn), [1] MAGNNMean (class in neuralogic.nn) (class in neuralogic.nn.module) (class in neuralogic.nn.module.meta.magnn), [1] manual_seed() (in module neuralogic) (in module neuralogic.setup) MAX (Aggregation attribute), [1], [2] (Combination attribute), [1], [2] max (F attribute), [1], [2], [3] max_agg (F attribute), [1], [2], [3] max_eval() (SpecialPredicateFactory method) maxcard() (SpecialPredicateFactory method) MaxPooling (class in neuralogic.nn) (class in neuralogic.nn.module) (class in neuralogic.nn.module.general.pooling), [1] merge_queries_with_examples() (DatasetBuilder static method), [1] MetaConv (class in neuralogic.nn) (class in neuralogic.nn.module) (class in neuralogic.nn.module.meta.meta), [1] Metadata (class in neuralogic.core) (class in neuralogic.core.constructs.metadata) metadata (PredicateMetadata attribute) (Rule attribute), [1] (RuleBody attribute), [1] Metric (class in neuralogic.nn) (class in neuralogic.nn.trainer) (class in neuralogic.nn.trainer.metrics) MIN (Aggregation attribute), [1], [2] (Combination attribute), [1], [2] min (F attribute), [1], [2], [3] min_agg (F attribute), [1], [2], [3] min_eval() (SpecialPredicateFactory method) MLP (class in neuralogic.nn) (class in neuralogic.nn.module) (class in neuralogic.nn.module.general.mlp), [1] mod() (SpecialPredicateFactory method) mod_eval() (SpecialPredicateFactory method) Mode (class in neuralogic.dataset) (class in neuralogic.dataset.csv) Model (class in neuralogic) (class in neuralogic.core) (class in neuralogic.core.model) model_to_dot_source() (in module neuralogic.utils.visualize) ModelError, [1] module neuralogic neuralogic.core neuralogic.core.builder neuralogic.core.builder.builder neuralogic.core.builder.components neuralogic.core.builder.dataset neuralogic.core.builder.dataset_builder neuralogic.core.constructs neuralogic.core.constructs.factories neuralogic.core.constructs.function neuralogic.core.constructs.function.concat neuralogic.core.constructs.function.enum neuralogic.core.constructs.function.function neuralogic.core.constructs.function.function_container neuralogic.core.constructs.function.function_graph neuralogic.core.constructs.function.reshape neuralogic.core.constructs.function.slice neuralogic.core.constructs.function.softmax neuralogic.core.constructs.java_objects neuralogic.core.constructs.metadata neuralogic.core.constructs.predicate neuralogic.core.constructs.relation neuralogic.core.constructs.rule neuralogic.core.constructs.term neuralogic.core.enums neuralogic.core.model neuralogic.core.neural_module neuralogic.core.settings neuralogic.core.settings.settings_proxy neuralogic.core.sources neuralogic.core.torch neuralogic.dataset neuralogic.dataset.base neuralogic.dataset.csv neuralogic.dataset.db neuralogic.dataset.file neuralogic.dataset.logic neuralogic.dataset.pddl neuralogic.dataset.tensor neuralogic.exceptions neuralogic.experimental.db.converter neuralogic.logging neuralogic.nn neuralogic.nn.init neuralogic.nn.loss neuralogic.nn.module neuralogic.nn.module.general neuralogic.nn.module.general.attention neuralogic.nn.module.general.gru neuralogic.nn.module.general.linear neuralogic.nn.module.general.lstm neuralogic.nn.module.general.mlp neuralogic.nn.module.general.pooling neuralogic.nn.module.general.positional_encoding neuralogic.nn.module.general.rnn neuralogic.nn.module.general.rvnn neuralogic.nn.module.general.transformer neuralogic.nn.module.gnn neuralogic.nn.module.gnn.appnp neuralogic.nn.module.gnn.gatv2 neuralogic.nn.module.gnn.gcn neuralogic.nn.module.gnn.gen neuralogic.nn.module.gnn.gin neuralogic.nn.module.gnn.gine neuralogic.nn.module.gnn.gsage neuralogic.nn.module.gnn.res_gated neuralogic.nn.module.gnn.rgcn neuralogic.nn.module.gnn.sg neuralogic.nn.module.gnn.tag neuralogic.nn.module.meta neuralogic.nn.module.meta.magnn neuralogic.nn.module.meta.meta neuralogic.nn.module.module neuralogic.nn.optim neuralogic.nn.optim.adam neuralogic.nn.optim.lr_scheduler neuralogic.nn.optim.lr_scheduler.arithmetic neuralogic.nn.optim.lr_scheduler.geometric neuralogic.nn.optim.lr_scheduler.lr_decay neuralogic.nn.optim.optimizer neuralogic.nn.optim.sgd neuralogic.nn.trainer neuralogic.nn.trainer.callbacks neuralogic.nn.trainer.helpers neuralogic.nn.trainer.history neuralogic.nn.trainer.metrics neuralogic.nn.trainer.trainer neuralogic.setup neuralogic.utils neuralogic.utils.data neuralogic.utils.visualize

Module (class in neuralogic.nn) (class in neuralogic.nn.module) (class in neuralogic.nn.module.module) MSE (class in neuralogic.nn) (class in neuralogic.nn.loss) (ErrorFunctionNames attribute) (Metric attribute), [1], [2] mul_eval() (SpecialPredicateFactory method) MultiheadAttention (class in neuralogic.nn) (class in neuralogic.nn.module) (class in neuralogic.nn.module.general.attention), [1] Mutagenesis() (in module neuralogic.utils.data)

N

n_rows (CSVFile attribute), [1] (DBSource attribute), [1] name (AggregationFunction attribute) (CombinationFunction attribute) (Constant attribute) (FContainer property), [1] (Function attribute), [1] (Predicate attribute) (TransformationFunction attribute) (Variable attribute) name() (Optimizer method), [1], [2] namespace (AggregationFunction attribute) (CombinationFunction attribute) (Function attribute), [1] (TransformationFunction attribute) Nations() (in module neuralogic.utils.data) negated (BaseRelation attribute) Negation (NeuronType attribute), [1] neq() (SpecialPredicateFactory method) neuralize() (Builder method), [1] (GroundedDataset method), [1], [2] NeuralModule (class in neuralogic.core.neural_module) neuralogic module neuralogic.core module neuralogic.core.builder module neuralogic.core.builder.builder module neuralogic.core.builder.components module neuralogic.core.builder.dataset module neuralogic.core.builder.dataset_builder module neuralogic.core.constructs module neuralogic.core.constructs.factories module neuralogic.core.constructs.function module neuralogic.core.constructs.function.concat module neuralogic.core.constructs.function.enum module neuralogic.core.constructs.function.function module neuralogic.core.constructs.function.function_container module neuralogic.core.constructs.function.function_graph module neuralogic.core.constructs.function.reshape module neuralogic.core.constructs.function.slice module neuralogic.core.constructs.function.softmax module neuralogic.core.constructs.java_objects module neuralogic.core.constructs.metadata module neuralogic.core.constructs.predicate module neuralogic.core.constructs.relation module neuralogic.core.constructs.rule module neuralogic.core.constructs.term module neuralogic.core.enums module neuralogic.core.model module neuralogic.core.neural_module module neuralogic.core.settings module neuralogic.core.settings.settings_proxy module neuralogic.core.sources module neuralogic.core.torch module neuralogic.dataset module neuralogic.dataset.base module neuralogic.dataset.csv module neuralogic.dataset.db module neuralogic.dataset.file module neuralogic.dataset.logic module neuralogic.dataset.pddl module neuralogic.dataset.tensor module neuralogic.exceptions module neuralogic.experimental.db.converter module neuralogic.logging module neuralogic.nn module neuralogic.nn.init module

neuralogic.nn.loss module neuralogic.nn.module module neuralogic.nn.module.general module neuralogic.nn.module.general.attention module neuralogic.nn.module.general.gru module neuralogic.nn.module.general.linear module neuralogic.nn.module.general.lstm module neuralogic.nn.module.general.mlp module neuralogic.nn.module.general.pooling module neuralogic.nn.module.general.positional_encoding module neuralogic.nn.module.general.rnn module neuralogic.nn.module.general.rvnn module neuralogic.nn.module.general.transformer module neuralogic.nn.module.gnn module neuralogic.nn.module.gnn.appnp module neuralogic.nn.module.gnn.gatv2 module neuralogic.nn.module.gnn.gcn module neuralogic.nn.module.gnn.gen module neuralogic.nn.module.gnn.gin module neuralogic.nn.module.gnn.gine module neuralogic.nn.module.gnn.gsage module neuralogic.nn.module.gnn.res_gated module neuralogic.nn.module.gnn.rgcn module neuralogic.nn.module.gnn.sg module neuralogic.nn.module.gnn.tag module neuralogic.nn.module.meta module neuralogic.nn.module.meta.magnn module neuralogic.nn.module.meta.meta module neuralogic.nn.module.module module neuralogic.nn.optim module neuralogic.nn.optim.adam module neuralogic.nn.optim.lr_scheduler module neuralogic.nn.optim.lr_scheduler.arithmetic module neuralogic.nn.optim.lr_scheduler.geometric module neuralogic.nn.optim.lr_scheduler.lr_decay module neuralogic.nn.optim.optimizer module neuralogic.nn.optim.sgd module neuralogic.nn.trainer module neuralogic.nn.trainer.callbacks module neuralogic.nn.trainer.helpers module neuralogic.nn.trainer.history module neuralogic.nn.trainer.metrics module neuralogic.nn.trainer.trainer module neuralogic.setup module neuralogic.utils module neuralogic.utils.data module neuralogic.utils.visualize module NeuraLogicError, [1] NeuralSample (class in neuralogic.core.builder) (class in neuralogic.core.builder.components) Neuron (class in neuralogic.core.builder) (class in neuralogic.core.builder.components) neurons (NeuralSample property), [1] NeuronType (class in neuralogic.core.builder) (class in neuralogic.core.builder.components) next() (SpecialPredicateFactory method) node_type() (Atom method), [1] nodes (FContainer attribute), [1] norm (F attribute), [1], [2], [3] NORM (Transformation attribute), [1], [2] Normal (class in neuralogic.nn) (class in neuralogic.nn.init) NORMAL (Formatter attribute) (InitializerNames attribute)

O

OFF (Level attribute) on_epoch_end() (CheckpointCallback method), [1], [2] (EarlyStoppingCallback method), [1], [2] (ProgressCallback method), [1], [2] (TrainerCallback method), [1], [2] on_train_begin() (CheckpointCallback method), [1], [2] (EarlyStoppingCallback method), [1], [2] (ProgressCallback method), [1], [2] (TrainerCallback method), [1], [2] on_train_end() (ProgressCallback method), [1], [2] (TrainerCallback method), [1], [2]

ONE_EXAMPLE (Mode attribute), [1] operator (AggregationFunction attribute) (CombinationFunction attribute) (Function attribute), [1] (TransformationFunction attribute) Optimizer (class in neuralogic.nn) (class in neuralogic.nn.optim) (class in neuralogic.nn.optim.optimizer) optimizer (Settings property), [1], [2] (SettingsProxy property), [1] output (LogHandler attribute), [1]

P

parameters() (NeuralModule method) path (CheckpointCallback property), [1], [2] PDDLDataset (class in neuralogic.dataset) (class in neuralogic.dataset.pddl) Pooling (class in neuralogic.nn) (class in neuralogic.nn.module) (class in neuralogic.nn.module.general.pooling), [1] PositionalEncoding (class in neuralogic.nn) (class in neuralogic.nn.module) (class in neuralogic.nn.module.general.positional_encoding), [1] PRECISION_MACRO (Metric attribute), [1], [2] predicate (Atom property), [1] (BaseRelation attribute)

Predicate (class in neuralogic.core.constructs.predicate) predicate (PredicateMetadata attribute) PredicateMetadata (class in neuralogic.core.constructs.predicate) pretty_str() (Function method), [1] process_head() (Function method), [1] (SoftmaxAggregation method) PRODUCT (Combination attribute), [1], [2] product (F attribute), [1], [2], [3] ProgressCallback (class in neuralogic.nn) (class in neuralogic.nn.trainer) (class in neuralogic.nn.trainer.callbacks) prune_only_identities (Settings property), [1], [2] (SettingsProxy property), [1]

Q

q() (Model method), [1], [2]

query (Sample attribute), [1] query() (Model method), [1], [2]

R

R2 (Metric attribute), [1], [2] RECALL_MACRO (Metric attribute), [1], [2] relation_combination (SettingsProxy property), [1] relation_name (CSVFile attribute), [1] (DBSource attribute), [1] (TableMapping attribute) relation_transformation (SettingsProxy property), [1] relu (F attribute), [1], [2], [3] RELU (Transformation attribute), [1], [2] remove_duplicates() (Model method), [1], [2] replace_empty_column (CSVFile attribute), [1] (DBSource attribute), [1] reset_parameters() (NeuralModule method) ResGatedGraphConv (class in neuralogic.nn) (class in neuralogic.nn.module) (class in neuralogic.nn.module.gnn.res_gated), [1] Reshape (class in neuralogic.core.constructs.function.reshape) reshape (F attribute), [1], [2], [3] RESHAPE (Transformation attribute), [1], [2] restart() (LRDecay method), [1] reverse (F attribute), [1], [2], [3] REVERSE (Transformation attribute), [1], [2]

RGCNConv (class in neuralogic.nn) (class in neuralogic.nn.module) (class in neuralogic.nn.module.gnn.rgcn), [1] RMSE (Metric attribute), [1], [2] RNN (class in neuralogic.nn) (class in neuralogic.nn.module) (class in neuralogic.nn.module.general.rnn), [1] RNNCell (class in neuralogic.nn.module.general.rnn) rows (Slice attribute) Rule (class in neuralogic.core) (class in neuralogic.core.constructs.rule) (NeuronType attribute), [1] rule_aggregation (SettingsProxy property), [1] rule_combination (SettingsProxy property), [1] rule_head_dependant() (Function method), [1] (SoftmaxAggregation method) rule_transformation (SettingsProxy property), [1] RuleBody (class in neuralogic.core) (class in neuralogic.core.constructs.rule) RvNN (class in neuralogic.nn) (class in neuralogic.nn.module) (class in neuralogic.nn.module.general.rvnn), [1]

S

SAGEConv (class in neuralogic.nn) (class in neuralogic.nn.module) (class in neuralogic.nn.module.gnn.gsage), [1] Sample (class in neuralogic.dataset) (class in neuralogic.dataset.logic) sample_to_dot_source() (in module neuralogic.utils.visualize) samples (Dataset attribute), [1] samples_to_examples_and_queries() (in module neuralogic.core.builder.dataset_builder) save() (Model method), [1], [2] seed() (in module neuralogic) (in module neuralogic.setup) sep (CSVFile attribute), [1] (DBSource attribute), [1] set_arity() (Predicate method) set_examples() (Dataset method), [1] set_fact_value() (NeuralSample method), [1] set_graphviz_path() (in module neuralogic) (in module neuralogic.setup) set_jvm_options() (in module neuralogic) (in module neuralogic.setup) set_jvm_path() (in module neuralogic) (in module neuralogic.setup) set_max_memory_size() (in module neuralogic) (in module neuralogic.setup) set_queries() (Dataset method), [1] (DBDataset method), [1] set_query_csv_file() (CSVDataset method), [1] set_samples() (Dataset method), [1] Settings (class in neuralogic) (class in neuralogic.core) (class in neuralogic.core.settings) SettingsProxy (class in neuralogic.core) (class in neuralogic.core.settings.settings_proxy) SEVERE (Level attribute) SGConv (class in neuralogic.nn) (class in neuralogic.nn.module) (class in neuralogic.nn.module.gnn.sg), [1] SGD (class in neuralogic.nn) (class in neuralogic.nn.optim) (class in neuralogic.nn.optim.sgd) shape (Reshape attribute) shutdown() (in module neuralogic) (in module neuralogic.setup)

sigmoid (F attribute), [1], [2], [3] SIGMOID (Transformation attribute), [1], [2] signum (F attribute), [1], [2], [3] SIGNUM (Transformation attribute), [1], [2] skip_rows (CSVFile attribute), [1] (DBSource attribute), [1] Slice (class in neuralogic.core.constructs.function.slice) slice (F attribute), [1], [2], [3] SLICE (Transformation attribute), [1], [2] SoftEntropy (class in neuralogic.nn) (class in neuralogic.nn.loss) SOFTENTROPY (ErrorFunctionNames attribute) SOFTMAX (Aggregation attribute), [1], [2] (Combination attribute), [1], [2] softmax (F attribute), [1], [2], [3] SOFTMAX (Transformation attribute), [1], [2] softmax_agg (F attribute), [1], [2], [3] softmax_comb (F attribute), [1], [2], [3] SoftmaxAggregation (class in neuralogic.core.constructs.function.softmax) Sources (class in neuralogic.core.sources) SPARSEMAX (Combination attribute), [1], [2] sparsemax (F attribute), [1], [2], [3] SPARSEMAX (Transformation attribute), [1], [2] sparsemax_comb (F attribute), [1], [2], [3] special (HiddenPredicateFactory property) (Predicate attribute) SpecialPredicateFactory (class in neuralogic.core.constructs.factories) SplittableAggregation (NeuronType attribute), [1] sqrt (F attribute), [1], [2], [3] SQRT (Transformation attribute), [1], [2] state_dict() (NeuralModule method) stopped_early (TrainerHistory attribute), [1], [2], [3], [4], [5] stream_to_list() (in module neuralogic.core.builder.builder) sub() (SpecialPredicateFactory method) sub_eval() (SpecialPredicateFactory method) substitutions (Atom attribute), [1] (Neuron attribute), [1] SUM (Aggregation attribute), [1], [2] (Combination attribute), [1], [2] sum (F attribute), [1], [2], [3] sum_agg (F attribute), [1], [2], [3] SumPooling (class in neuralogic.nn) (class in neuralogic.nn.module) (class in neuralogic.nn.module.general.pooling), [1]

T

T (BaseRelation property) (WeightedRelation property) table_name (DBSource attribute), [1] (TableMapping attribute) TableMapping (class in neuralogic.experimental.db.converter) TAGConv (class in neuralogic.nn) (class in neuralogic.nn.module) (class in neuralogic.nn.module.gnn.tag), [1] tanh (F attribute), [1], [2], [3] TANH (Transformation attribute), [1], [2] target (NeuralSample property), [1] tensor_parameters() (NeuralModule method) TensorDataset (class in neuralogic.dataset) (class in neuralogic.dataset.tensor) term_columns (CSVFile attribute), [1] (DBSource attribute), [1] (TableMapping attribute) terms (BaseRelation attribute) test() (NeuralModule method) (Trainer method), [1], [2] TextIOWrapper (class in neuralogic.logging) to_clause() (JavaFactory method) to_csv() (DBSource method), [1] to_dataset() (ConvertibleDataset method), [1] (CSVDataset method), [1] (DBDataset method), [1] (PDDLDataset method), [1] (TensorDataset method), [1] to_dot_source() (in module neuralogic.utils.visualize) to_function() (FContainer method), [1] to_json() (SettingsProxy method), [1] (Sources method) to_logic_form() (CSVFile method), [1] (Data method), [1] to_sql() (Converter method) to_str() (BaseRelation method) (FContainer method), [1] (Predicate method) (Rule method), [1] (WeightedRelation method)

train() (NeuralModule method) train_losses (TrainerHistory attribute), [1], [2], [3], [4], [5] train_metrics (TrainerHistory attribute), [1], [2], [3], [4], [5] Trainer (class in neuralogic.nn) (class in neuralogic.nn.trainer) (class in neuralogic.nn.trainer.trainer) TrainerCallback (class in neuralogic.nn) (class in neuralogic.nn.trainer) (class in neuralogic.nn.trainer.callbacks) TrainerHistory (class in neuralogic.nn) (class in neuralogic.nn.trainer) (class in neuralogic.nn.trainer.history) Trains() (in module neuralogic.utils.data) Transformation (class in neuralogic.core) (class in neuralogic.core.constructs.function) (class in neuralogic.core.constructs.function.enum) transformation (Metadata attribute), [1] TransformationFunction (class in neuralogic.core.constructs.function.function) Transformer (class in neuralogic.nn) (class in neuralogic.nn.module) (class in neuralogic.nn.module.general.transformer), [1] TransformerDecoder (class in neuralogic.nn) (class in neuralogic.nn.module) (class in neuralogic.nn.module.general.transformer), [1] TransformerEncoder (class in neuralogic.nn) (class in neuralogic.nn.module) (class in neuralogic.nn.module.general.transformer), [1] transp (F attribute), [1], [2], [3] TRANSP (Transformation attribute), [1], [2] truepred() (SpecialPredicateFactory method) type (Constant attribute) (Variable attribute)

U

Uniform (class in neuralogic.nn) (class in neuralogic.nn.init)

UNIFORM (InitializerNames attribute)

V

val_losses (TrainerHistory attribute), [1], [2], [3], [4], [5] val_metrics (TrainerHistory attribute), [1], [2], [3], [4], [5] value (Neuron property), [1] value_column (CSVFile attribute), [1] (DBSource attribute), [1] (TableMapping attribute)

value_mapper (CSVFile attribute), [1] (DBSource attribute), [1] ValueFactory (class in neuralogic.core.constructs.java_objects) var_terms (SoftmaxAggregation attribute) Variable (class in neuralogic.core.constructs.term) VariableFactory (class in neuralogic.core.constructs.factories)

W

WARNING (Level attribute) weight (WeightedRelation attribute) weight_name (WeightedRelation attribute) WeightedAtom (NeuronType attribute), [1] WeightedRelation (class in neuralogic.core.constructs.relation)

WeightedRule (NeuronType attribute), [1] wrap() (Function method), [1] (Reshape method) (Slice method) write() (TextIOWrapper method)

X

XOR() (in module neuralogic.utils.data)

XOR_Vectorized() (in module neuralogic.utils.data)

Z

ZIP (Mode attribute), [1]