Virtualitics SDK Documentation¶
Example Apps¶
Please see our set of App Building Walkthroughs to see some example usage of Virtualitics AI Platform Apps.
Contents:
- virtualitics_sdk
- app
- assets
- asset
- dataset
- explainer
ExplainerExplainer.check_lime_usage_()Explainer.check_shap_usage_()Explainer.explain()Explainer.filter_features()Explainer.get_data_likelihood()Explainer.get_feature_explanation()Explainer.get_instance_hash()Explainer.get_lime_explanation()Explainer.get_shap_explanation()Explainer.get_text_explanation()Explainer.get_waterfall_explanation()Explainer.initialize_dataset_model_stats()Explainer.initialize_encodings()Explainer.initialize_explainer_lime()Explainer.initialize_explainer_shap()Explainer.initialize_explainers()Explainer.initialize_explanation_mode()Explainer.initialize_model()Explainer.initialize_output_names()Explainer.lime_target_func()Explainer.make_model_regressor()Explainer.model_preprocess()Explainer.pick_instance()Explainer.plot_waterfall_instance()Explainer.replace_dataset()Explainer.shap_target_func()Explainer.show_significant_vars()Explainer.smart_instance_selection()Explainer.train_data_likelihood_model()
ExplainerReturnTypesExplanationTypesInstanceSelectionMethodInstanceSetNLPExplanationMethod
- knowledge_graph
- language_processor
LanguageProcessorLanguageProcessor.DATASET_UUIDLanguageProcessor.available_modelsLanguageProcessor.available_tasks()LanguageProcessor.entities2features()LanguageProcessor.events2features()LanguageProcessor.get_doc_ids_and_dates()LanguageProcessor.get_doc_nlp_features()LanguageProcessor.get_doc_node_attributes()LanguageProcessor.get_doc_numbers()LanguageProcessor.get_single_doc_nlp_features()LanguageProcessor.get_table()LanguageProcessor.ingest()LanguageProcessor.initialize_model()
counter_to_str_repr()
- model
- schema
- elements
- custom_event
- dashboard
- data_source
- date_time_range
- dropdown
- dropdown_data_sources
- element
ElementTypeElementType.CUSTOM_EVENTElementType.DASHBOARDElementType.DATA_SOURCEElementType.DATE_TIME_RANGEElementType.DROPDOWNElementType.FILTERSElementType.IMAGEElementType.INFOGRAPHICElementType.INPUTElementType.NUMERIC_RANGEElementType.PLOTElementType.RICH_TEXTElementType.TABLEElementType.TEXT_INPUTElementType.XAI_DASHBOARD
InputElement
- image
- infograph
- line
- numeric_range
- plot
PlotPlotAxisScalePlotAxisScale.AUTOPlotAxisScale.BANDPlotAxisScale.IDENTITYPlotAxisScale.LINEARPlotAxisScale.LOGARITHMICPlotAxisScale.ORDINALPlotAxisScale.POINTPlotAxisScale.POWPlotAxisScale.QUANTILEPlotAxisScale.QUANTIZEPlotAxisScale.SEQUENTIALPlotAxisScale.SQUARE_ROOTPlotAxisScale.THRESHOLDPlotAxisScale.TIMEPlotAxisScale.UTC
PlotDataKeyPlotDataPointPlotTypeXAxisXAxisOrientationYAxisYAxisOrientation
- plotly_plot
- rich_text
- table
- text_input
- waterfall_plot
- xai_dashboard
- exceptions
- icons
- nlp
- advanced
KGAdvancedConfigKGAdvancedConfig.alpha_value_drop_titleKGAdvancedConfig.bonferroni_drop_titleKGAdvancedConfig.create_significant_feature_card()KGAdvancedConfig.create_sim_thresh_config_drop()KGAdvancedConfig.get_alpha_value_or_default()KGAdvancedConfig.get_bonferroni_value_or_default()KGAdvancedConfig.get_sim_threshold_range_or_default()KGAdvancedConfig.get_sim_threshold_value_or_default()KGAdvancedConfig.main_sectionKGAdvancedConfig.run()KGAdvancedConfig.sim_threshold_drop_rangeKGAdvancedConfig.sim_threshold_drop_titleKGAdvancedConfig.step_title
- analytics
- common
- data_upload
DataUploadDataUpload.corpus_name_textinput_placeholderDataUpload.corpus_name_textinput_titleDataUpload.corpus_requirementsDataUpload.data_source_titleDataUpload.get_corpus_name()DataUpload.get_model_or_default()DataUpload.main_sectionDataUpload.model_selection_defaultDataUpload.model_selection_titleDataUpload.run()DataUpload.step_title
- feature_analytics
- ingestion
DataDiagnosticDateTimeFilteringcreate_average_dep_depth_hist()doc_len_infographic()empty_docs_infographic()events_entities_infographics()generate_pos_summary_df()mean_dependency_tree_depth()mean_sents_info()mean_unique_words()sent_len_infographic()unique_ents_features_in_corpus()unique_events_features_in_corpus()
- network_extraction
- pipeline_config
NoDatasetIdxExceptionPipelineConfigurationStepPipelineConfigurationStep.available_tasks_drop_titlePipelineConfigurationStep.create_date_filtering_components()PipelineConfigurationStep.create_feature_selection_card()PipelineConfigurationStep.create_pipeline_config_drop()PipelineConfigurationStep.default_pipeline_tasksPipelineConfigurationStep.dt_dropdown_titlePipelineConfigurationStep.dt_format_inputPipelineConfigurationStep.get_idx()PipelineConfigurationStep.get_pipe_config_or_default()PipelineConfigurationStep.identifier_dropdown_titlePipelineConfigurationStep.kpi_dropdown_titlePipelineConfigurationStep.narrative_dropdown_titlePipelineConfigurationStep.run()PipelineConfigurationStep.step_title
- sim_thresh
init_custom_components()
- advanced
- page
- store
- store_interface
DatasetIndexStoreInterfaceStoreInterface.create_element_link()StoreInterface.create_future_element()StoreInterface.db_to_pandas()StoreInterface.get_asset()StoreInterface.get_asset_by_id()StoreInterface.get_assets()StoreInterface.get_boto3_s3_client_from_connection_store()StoreInterface.get_current_step_user_input()StoreInterface.get_dataset()StoreInterface.get_element()StoreInterface.get_element_by_id()StoreInterface.get_element_value()StoreInterface.get_explainer()StoreInterface.get_input()StoreInterface.get_model()StoreInterface.get_page()StoreInterface.get_previous_step_name()StoreInterface.get_raw_data_source_data()StoreInterface.get_s3_asset()StoreInterface.get_schema()StoreInterface.is_pyvip_connected()StoreInterface.list_fixture_data()StoreInterface.pandas_to_db()StoreInterface.query_datastore_asset()StoreInterface.save_asset()StoreInterface.save_datastore_asset()StoreInterface.save_output()StoreInterface.str_2_connection_type()StoreInterface.update_page()StoreInterface.update_progress()
- store_interface
- trigger
- utils