Contents:
AgentClient
AgentClient.__init__()
AgentClient.add_blacklisted_symbols()
AgentClient.add_model()
AgentClient.change_genes()
AgentClient.clear_all_memory()
AgentClient.clear_target_class()
AgentClient.clear_wm()
AgentClient.connect()
AgentClient.delete_model()
AgentClient.get_all_genes()
AgentClient.get_cognition_data()
AgentClient.get_gene()
AgentClient.get_kbs()
AgentClient.get_kbs_as_json()
AgentClient.get_model()
AgentClient.get_models_with_patterns()
AgentClient.get_models_with_symbols()
AgentClient.get_name()
AgentClient.get_percept_data()
AgentClient.get_predictions()
AgentClient.get_symbol()
AgentClient.get_time()
AgentClient.get_vector()
AgentClient.get_wm()
AgentClient.increment_recall_threshold()
AgentClient.investigate()
AgentClient.investigate_record()
AgentClient.learn()
AgentClient.list_blacklisted_symbols()
AgentClient.load_kbs_from_json()
AgentClient.observe()
AgentClient.observe_classification()
AgentClient.ping()
AgentClient.put_kbs()
AgentClient.receive_unique_ids()
AgentClient.remove_blacklisted_symbols()
AgentClient.remove_patterns_from_system()
AgentClient.remove_symbols_from_system()
AgentClient.resolve_model()
AgentClient.set_ingress_nodes()
AgentClient.set_query_nodes()
AgentClient.set_summarize_for_single_node()
AgentClient.set_target_class()
AgentClient.set_timeout()
AgentClient.show_status()
AgentClient.start_autolearning()
AgentClient.start_predicting()
AgentClient.start_sleeping()
AgentClient.stop_autolearning()
AgentClient.stop_predicting()
AgentClient.stop_sleeping()
AgentClient.update_model()
Genome
Genome.__init__()
Genome.change_genes()
Genome.display()
Genome.get_actions()
Genome.get_manipulative_map()
Genome.get_nodes()
Genome.get_primitive_map()
get_kb_subset()
get_models_containing_symbol()
get_models_containing_symbol_strict()
list_models()
list_symbols()
recursive_delete_model()
recursive_update_model()
Data
Data.__init__()
Data.prep()
DataRecords
DataRecords.__init__()
atoi()
natural_keys()
raw_in_count()
validate_data()
abstract_names()
create_gdf()
log_progress()
merge_gdfs()
retrieve_bottom_level_records()
write_gdf_to_file()
PerformanceValidationTest
PerformanceValidationTest.__init__()
PerformanceValidationTest.compute_incidental_probabilities()
PerformanceValidationTest.conduct_pvt()
PerformanceValidationTest.get_classification_metrics()
PerformanceValidationTest.get_emotives_polarity_metrics()
PerformanceValidationTest.get_emotives_value_metrics()
PerformanceValidationTest.sum_sequence_emotives()
PerformanceValidationTest.test_agent()
PerformanceValidationTest.train_agent()
PerformanceValidationTest.update_test_results_w_hive_classification_metrics()
PerformanceValidationTest.update_test_results_w_hive_emotives_polarity_metrics()
PerformanceValidationTest.update_test_results_w_hive_emotives_value_metrics()
MongoData
MongoData.__init__()
MongoData.convertBinaryStringtoSequence()
MongoData.delete_dataset()
MongoData.getSequence()
MongoData.prep()
MongoData.retrieveDataRecord()
MongoData.setIterMode()
MongoData.upload_dataset()
MongoDataRecords
MongoDataRecords.__init__()
MongoResults
MongoResults.__init__()
MongoResults.addLogRecord()
MongoResults.deleteResults()
MongoResults.reset()
MongoResults.retrieveResults()
MongoResults.saveResults()
classification_metrics_builder()
emotives_polarity_metrics_builder()
emotives_value_metrics_builder()
init_emotive_on_node()
is_notebook()
make_modeled_emotives_()
model_per_emotive_()
plot_confusion_matrix()
retrieve_emotive_val()
AgentManager
AgentManager.__init__()
AgentManager.delete_agent()
AgentManager.delete_genome()
AgentManager.get_all_agent_status()
AgentManager.get_genome()
AgentManager.kill_all_agents()
AgentManager.list_genomes()
AgentManager.remediate_dead_agents()
AgentManager.start_agent()
AgentManager.update_current_agents()
average_emotives()
bucket_predictions()
hive_model_classification()
hive_model_emotives()
make_modeled_emotives()
model_per_emotive()
prediction_ensemble_model_classification()
principal_delta()
Tester
Tester.next_test_prep()
Tester.test()
Tester.train()
BackTest
BackTest.run()
classification_report()
fidelity_charts()
get_class_distribution()
plot_class_distributions()
predictor_operator_characteristic()
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