Index

A

active_mask (iabm.data_processor.EvaluationDataset attribute) (iabm.data_processor.InferenceDataset attribute) (iabm.InferenceDataset attribute) ActiveSequence (class in iabm_behavior) (class in iabm_behavior.sequences)

anomaly_score (iabm_behavior.SequenceComparison attribute), [1] (iabm_behavior.sequences.SequenceComparison attribute), [1] (iabm_semantics.SemanticAssignment attribute), [1] (iabm_semantics.semantics.SemanticAssignment attribute), [1] avg_duration_seconds (iabm_behavior.NominalSequenceReference attribute), [1] (iabm_behavior.sequences.NominalSequenceReference attribute), [1]

B

BehavioralSequenceAnalyzer (class in iabm_behavior) (class in iabm_behavior.sequences)

build_nominal_reference() (iabm_behavior.BehavioralSequenceAnalyzer method) (iabm_behavior.sequences.BehavioralSequenceAnalyzer method)

C

compare_to_nominal() (iabm_behavior.BehavioralSequenceAnalyzer method) (iabm_behavior.sequences.BehavioralSequenceAnalyzer method) components (iabm_semantics.SemanticAssignment attribute), [1] (iabm_semantics.semantics.SemanticAssignment attribute), [1] count (iabm_behavior.NominalSequenceReference attribute), [1] (iabm_behavior.sequences.NominalSequenceReference attribute), [1]

cross_validate() (iabm.models.StateClassifier method) (iabm.StateClassifier method) CrossValidationResult (class in iabm) (class in iabm.models)

D

DEFAULT_FEATURE_COLUMNS (iabm.data_processor.IndustrialDataProcessor attribute) (iabm.IndustrialDataProcessor attribute) dtw_distance (iabm_behavior.SequenceComparison attribute), [1] (iabm_behavior.sequences.SequenceComparison attribute), [1]

duration_ratio_delta (iabm_behavior.SequenceComparison attribute), [1] (iabm_behavior.sequences.SequenceComparison attribute), [1] duration_seconds (iabm_behavior.sequences.StateRun attribute), [1] (iabm_behavior.StateRun attribute), [1]

E

end_time (iabm_behavior.ActiveSequence attribute), [1] (iabm_behavior.sequences.ActiveSequence attribute), [1] (iabm_behavior.sequences.StateRun attribute), [1] (iabm_behavior.StateRun attribute), [1] EvaluationDataset (class in iabm.data_processor)

exact_match (iabm_behavior.SequenceComparison attribute), [1] (iabm_behavior.sequences.SequenceComparison attribute), [1] extract_active_sequences() (iabm_behavior.BehavioralSequenceAnalyzer method) (iabm_behavior.sequences.BehavioralSequenceAnalyzer method) extract_runs() (iabm_behavior.BehavioralSequenceAnalyzer method) (iabm_behavior.sequences.BehavioralSequenceAnalyzer method)

F

features (iabm.data_processor.EvaluationDataset attribute) (iabm.data_processor.InferenceDataset attribute) (iabm.data_processor.TrainingDataset attribute) (iabm.InferenceDataset attribute) (iabm.TrainingDataset attribute)

fit() (iabm.models.FoldLabelEncoderClassifier method) (iabm.models.StateClassifier method) (iabm.StateClassifier method) FoldLabelEncoderClassifier (class in iabm.models)

G

get_params() (iabm.models.FoldLabelEncoderClassifier method)

I

iabm module iabm.data_processor module iabm.main module iabm.models module iabm.utils module iabm_behavior module iabm_behavior.main module iabm_behavior.sequences module iabm_behavior.utils module

iabm_semantics module iabm_semantics.main module iabm_semantics.semantics module iabm_semantics.utils module IndustrialDataProcessor (class in iabm) (class in iabm.data_processor) InferenceDataset (class in iabm) (class in iabm.data_processor) interpret_sequences() (iabm_semantics.SemanticModeInterpreter method) (iabm_semantics.semantics.SemanticModeInterpreter method) is_anomalous (iabm_behavior.SequenceComparison attribute), [1] (iabm_behavior.sequences.SequenceComparison attribute), [1]

L

labels (iabm.data_processor.EvaluationDataset attribute) (iabm.data_processor.TrainingDataset attribute) (iabm.TrainingDataset attribute) load() (iabm.models.StateClassifier class method) (iabm.StateClassifier class method) load_active_sequences() (iabm_semantics.SemanticModeInterpreter method) (iabm_semantics.semantics.SemanticModeInterpreter method)

load_comparison_report() (iabm_semantics.SemanticModeInterpreter method) (iabm_semantics.semantics.SemanticModeInterpreter method) load_rules() (iabm_semantics.SemanticModeInterpreter method) (iabm_semantics.semantics.SemanticModeInterpreter method) load_state_timeline() (iabm_behavior.BehavioralSequenceAnalyzer method) (iabm_behavior.sequences.BehavioralSequenceAnalyzer method)

M

main() (in module iabm.main) (in module iabm_behavior.main) (in module iabm_semantics.main) mean (iabm.CrossValidationResult property) (iabm.models.CrossValidationResult property) module iabm iabm.data_processor iabm.main iabm.models iabm.utils iabm_behavior iabm_behavior.main iabm_behavior.sequences iabm_behavior.utils iabm_semantics iabm_semantics.main iabm_semantics.semantics iabm_semantics.utils

N

nominal_states (iabm_behavior.SequenceComparison attribute), [1] (iabm_behavior.sequences.SequenceComparison attribute), [1]

NominalSequenceReference (class in iabm_behavior) (class in iabm_behavior.sequences)

O

observed_states (iabm_behavior.SequenceComparison attribute), [1] (iabm_behavior.sequences.SequenceComparison attribute), [1] operating_mode (iabm_semantics.SemanticAssignment attribute), [1] (iabm_semantics.SemanticRule attribute), [1] (iabm_semantics.semantics.SemanticAssignment attribute), [1] (iabm_semantics.semantics.SemanticRule attribute), [1]

P

parse_arguments() (in module iabm.main) (in module iabm_behavior.main) (in module iabm_semantics.main) POWER_COLUMNS (iabm.data_processor.IndustrialDataProcessor attribute) (iabm.IndustrialDataProcessor attribute) predict() (iabm.models.FoldLabelEncoderClassifier method) (iabm.models.StateClassifier method) (iabm.StateClassifier method)

predict_proba() (iabm.models.StateClassifier method) (iabm.StateClassifier method) prepare_evaluation_data() (iabm.data_processor.IndustrialDataProcessor method) (iabm.IndustrialDataProcessor method) prepare_inference_data() (iabm.data_processor.IndustrialDataProcessor method) (iabm.IndustrialDataProcessor method) prepare_training_data() (iabm.data_processor.IndustrialDataProcessor method) (iabm.IndustrialDataProcessor method)

R

required_components (iabm_semantics.SemanticRule attribute), [1] (iabm_semantics.semantics.SemanticRule attribute), [1]

run_count (iabm_behavior.ActiveSequence attribute), [1] (iabm_behavior.sequences.ActiveSequence attribute), [1]

S

sample_count (iabm_behavior.sequences.StateRun attribute), [1] (iabm_behavior.StateRun attribute), [1] save() (iabm.models.StateClassifier method) (iabm.StateClassifier method) scores (iabm.CrossValidationResult attribute) (iabm.models.CrossValidationResult attribute) semantic_status (iabm_semantics.SemanticAssignment attribute), [1] (iabm_semantics.semantics.SemanticAssignment attribute), [1] SemanticAssignment (class in iabm_semantics) (class in iabm_semantics.semantics) SemanticModeInterpreter (class in iabm_semantics) (class in iabm_semantics.semantics) SemanticRule (class in iabm_semantics) (class in iabm_semantics.semantics) sequence_states (iabm_semantics.SemanticAssignment attribute), [1] (iabm_semantics.semantics.SemanticAssignment attribute), [1] SequenceComparison (class in iabm_behavior) (class in iabm_behavior.sequences) set_params() (iabm.models.FoldLabelEncoderClassifier method) set_score_request() (iabm.models.FoldLabelEncoderClassifier method) setup_i18n() (in module iabm.utils) (in module iabm_behavior.utils) (in module iabm_semantics.utils) SINGLE_PHASE_BLOCKS (iabm.data_processor.IndustrialDataProcessor attribute) (iabm.IndustrialDataProcessor attribute) smooth_short_runs() (iabm_behavior.BehavioralSequenceAnalyzer method) (iabm_behavior.sequences.BehavioralSequenceAnalyzer method)

source_frame (iabm.data_processor.EvaluationDataset attribute) (iabm.data_processor.InferenceDataset attribute) (iabm.InferenceDataset attribute) start_time (iabm_behavior.ActiveSequence attribute), [1] (iabm_behavior.sequences.ActiveSequence attribute), [1] (iabm_behavior.sequences.StateRun attribute), [1] (iabm_behavior.StateRun attribute), [1] state (iabm_behavior.sequences.StateRun attribute), [1] (iabm_behavior.StateRun attribute), [1] state_distance (iabm_behavior.SequenceComparison attribute), [1] (iabm_behavior.sequences.SequenceComparison attribute), [1] StateClassifier (class in iabm) (class in iabm.models) StateRun (class in iabm_behavior) (class in iabm_behavior.sequences) states (iabm_behavior.ActiveSequence attribute), [1] (iabm_behavior.NominalSequenceReference attribute), [1] (iabm_behavior.sequences.ActiveSequence attribute), [1] (iabm_behavior.sequences.NominalSequenceReference attribute), [1] std (iabm.CrossValidationResult property) (iabm.models.CrossValidationResult property) summarize_modes() (iabm_semantics.SemanticModeInterpreter method) (iabm_semantics.semantics.SemanticModeInterpreter method) summarize_sequence_words() (iabm_behavior.BehavioralSequenceAnalyzer method) (iabm_behavior.sequences.BehavioralSequenceAnalyzer method)

T

THREE_PHASE_BLOCKS (iabm.data_processor.IndustrialDataProcessor attribute) (iabm.IndustrialDataProcessor attribute) total_duration_seconds (iabm_behavior.ActiveSequence attribute), [1] (iabm_behavior.sequences.ActiveSequence attribute), [1]

TrainingDataset (class in iabm) (class in iabm.data_processor)

W

working_mode (iabm_semantics.SemanticAssignment attribute), [1] (iabm_semantics.SemanticRule attribute), [1] (iabm_semantics.semantics.SemanticAssignment attribute), [1] (iabm_semantics.semantics.SemanticRule attribute), [1]