predict_backend

• flow
  • flow
    • Flow
      • Flow.chain()
  • step
    • Step
      • Step.action_override()
      • Step.set_params()
    • StepState
    • StepType
• ml
  • nlp
    • components
      • corpus_stats
      • entity_extractor
      • event_extractor
      • init_custom_components()
    • handlers
      • pandas
      • sqllite
      • PersistenceHandler
    • analytics
      • graph_stats()
    • nlp
      • LanguageProcessor
      • counter_to_str_repr()
    • sentence_preprocessing
      • strip_parenthetical_expressions()
    • tfidf_based_kg
      • TfIdfBasedKG
      • analyze_entity_proportions()
      • compute_opt_sim_mat()
      • difference_of_proportion_test()
      • get_ranked_nlp_features()
      • preprocessor()
      • similarity_threshold_experiment()
      • tokenizer()
  • model
    • Model
      • Model.get_all_metainfo()
      • Model.get_recent_time()
      • Model.get_time()
      • Model.update_model_notes()
  • xai
    • Explainer
      • Explainer.explain()
      • Explainer.get_data_likelihood()
      • Explainer.get_feature_explanation()
      • Explainer.get_text_explanation()
      • Explainer.plot_waterfall_instance()
      • Explainer.replace_dataset()
      • Explainer.smart_instance_selection()
      • Explainer.train_data_likelihood_model()
    • ExplainerReturnTypes
      • ExplainerReturnTypes.CARDS
      • ExplainerReturnTypes.IMAGES
      • ExplainerReturnTypes.PLOTS
    • ExplanationTypes
      • ExplanationTypes.CLASSIFICATION
      • ExplanationTypes.REGRESSION
    • InstanceSelectionMethod
      • InstanceSelectionMethod.MANUAL
      • InstanceSelectionMethod.SMART
    • InstanceSet
      • InstanceSet.CERTAIN_HIT
      • InstanceSet.CERTAIN_MISS
      • InstanceSet.UNCERTAIN_HIT
      • InstanceSet.UNCERTAIN_MISS
    • NLPExplanationMethod
      • NLPExplanationMethod.LIME
      • NLPExplanationMethod.SHAP
• page
  • elements
    • custom_event
      • AssetDownloadCustomEvent
      • CustomEvent
      • CustomEventPosition
      • CustomEventType
      • TriggerFlowCustomEvent
    • dashboard
      • Column
      • Dashboard
      • Row
      • simplify()
    • data_source
      • DataSource
    • date_time_range
      • DateTimeRange
    • dropdown
      • Dropdown
    • image
      • Image
      • ImageSize
    • infograph
      • InfographData
      • InfographDataType
      • Infographic
      • InfographicOrientation
    • numeric_range
      • NumericRange
    • plot
      • Plot
      • PlotAxisScale
      • PlotAxisType
      • PlotDataType
      • PlotOrientation
      • PlotType
      • TooltipStatus
      • XAxisOrientation
      • YAxisOrientation
    • plotly_plot
      • PlotlyPlot
    • rich_text
      • RichText
    • table
      • SubTable
      • SubtableStatus
      • Table
      • get_text_and_cell_colors()
      • merge_data_frame_to_openpyxl()
    • text_input
      • TextInput
    • xai_dashboard
      • XAIDashboard
  • utils
    • trigger_flow_execution()
  • card
    • Card
      • Card.add_comment()
      • Card.add_content()
      • Card.delete_comment()
      • Card.edit_comment()
      • Card.get_comment()
      • Card.get_elements()
      • Card.get_filters()
      • Card.remove_item()
      • Card.save_col()
      • Card.save_row()
      • Card.update_item()
    • extract_inner_dashboards()
    • format_card_content()
  • element
    • Element
  • page
    • Page
      • Page.add_card_to_section()
      • Page.add_content_to_section()
      • Page.get_card_by_id()
      • Page.get_card_by_title()
      • Page.get_element_by_title()
      • Page.get_section_by_title()
      • Page.has_required_input
      • Page.remove_card()
      • Page.replace_content_in_section()
      • Page.serialize()
  • section
    • Section
      • Section.add_card_w_content()
• persistence
  • odbc
    • iterable_to_odbc()
    • odbc_to_iterable()
    • odbc_to_pandas()
    • pandas_to_odbc()
  • persistence exceptions
    • PersistenceException
      • PersistenceException.message
• predict_pyvip
  • predict_pyvip
    • PredictpyVIP
      • PredictpyVIP.ad()
      • PredictpyVIP.add_column()
      • PredictpyVIP.add_dashboard_tile()
      • PredictpyVIP.add_histogram_dashboard_tile()
      • PredictpyVIP.add_piechart_dashboard_tile()
      • PredictpyVIP.add_rows()
      • PredictpyVIP.add_snapshot_dashboard_tile()
      • PredictpyVIP.add_text_dashboard_tile()
      • PredictpyVIP.anomaly_detection()
      • PredictpyVIP.apply_suggested_mapping()
      • PredictpyVIP.attach_object_annotation()
      • PredictpyVIP.change_annotation_type()
      • PredictpyVIP.clear_custom_dashboard()
      • PredictpyVIP.clustering()
      • PredictpyVIP.clustering_coefficient()
      • PredictpyVIP.collapse_all_annotations()
      • PredictpyVIP.convert_column()
      • PredictpyVIP.convex_hull()
      • PredictpyVIP.create_annotation()
      • PredictpyVIP.create_annotation_from_instance()
      • PredictpyVIP.create_custom_dashboard()
      • PredictpyVIP.create_dataset_annotation()
      • PredictpyVIP.create_mapping_annotation()
      • PredictpyVIP.create_object_annotation()
      • PredictpyVIP.create_point_annotation()
      • PredictpyVIP.delete_all_annotations()
      • PredictpyVIP.delete_all_objects()
      • PredictpyVIP.delete_all_objs()
      • PredictpyVIP.delete_annotation()
      • PredictpyVIP.delete_dataset()
      • PredictpyVIP.delete_obj()
      • PredictpyVIP.delete_object()
      • PredictpyVIP.destroy_custom_dashboard()
      • PredictpyVIP.detach_object_annotation()
      • PredictpyVIP.ellipsoid()
      • PredictpyVIP.expand_all_annotations()
      • PredictpyVIP.explainable_ai()
      • PredictpyVIP.filter()
      • PredictpyVIP.get_all_annotations()
      • PredictpyVIP.get_all_dataset_annotations()
      • PredictpyVIP.get_all_mapping_annotations()
      • PredictpyVIP.get_all_object_annotations()
      • PredictpyVIP.get_all_point_annotations()
      • PredictpyVIP.get_column()
      • PredictpyVIP.get_column_stats()
      • PredictpyVIP.get_dataset()
      • PredictpyVIP.get_legend()
      • PredictpyVIP.get_network()
      • PredictpyVIP.get_orientation()
      • PredictpyVIP.get_plot()
      • PredictpyVIP.get_screen()
      • PredictpyVIP.get_visible_points()
      • PredictpyVIP.get_workflow()
      • PredictpyVIP.graph_distance()
      • PredictpyVIP.hide_annotations()
      • PredictpyVIP.hist()
      • PredictpyVIP.history()
      • PredictpyVIP.insights()
      • PredictpyVIP.line()
      • PredictpyVIP.link_annotation()
      • PredictpyVIP.load_data()
      • PredictpyVIP.load_network()
      • PredictpyVIP.load_object()
      • PredictpyVIP.load_project()
      • PredictpyVIP.load_workflow()
      • PredictpyVIP.local_history
      • PredictpyVIP.maps2d()
      • PredictpyVIP.maps3d()
      • PredictpyVIP.network_extractor()
      • PredictpyVIP.network_structure()
      • PredictpyVIP.normalize()
      • PredictpyVIP.pagerank()
      • PredictpyVIP.pca()
      • PredictpyVIP.pca_ad()
      • PredictpyVIP.pca_anomaly_detection()
      • PredictpyVIP.plot()
      • PredictpyVIP.pull_new_columns()
      • PredictpyVIP.refresh_plot()
      • PredictpyVIP.remove_all_filters()
      • PredictpyVIP.remove_dashboard_tiles()
      • PredictpyVIP.remove_filter()
      • PredictpyVIP.reset_annotation_color()
      • PredictpyVIP.response_callback()
      • PredictpyVIP.save_project()
      • PredictpyVIP.save_workflow()
      • PredictpyVIP.scatter()
      • PredictpyVIP.search()
      • PredictpyVIP.set_annotation_color()
      • PredictpyVIP.set_annotation_dimensions()
      • PredictpyVIP.set_annotation_position()
      • PredictpyVIP.set_camera_angle()
      • PredictpyVIP.set_current_dashboard()
      • PredictpyVIP.set_gridbox_tickmarks_view()
      • PredictpyVIP.set_obj_mode()
      • PredictpyVIP.set_object_mode()
      • PredictpyVIP.shape_options()
      • PredictpyVIP.show()
      • PredictpyVIP.show_annotations()
      • PredictpyVIP.shutdown()
      • PredictpyVIP.smart_mapping()
      • PredictpyVIP.statistics()
      • PredictpyVIP.stats()
      • PredictpyVIP.surface()
      • PredictpyVIP.switch_dataset()
      • PredictpyVIP.switch_obj()
      • PredictpyVIP.switch_object()
      • PredictpyVIP.threshold_ad()
      • PredictpyVIP.threshold_anomaly_detection()
      • PredictpyVIP.toggle_obj_mode()
      • PredictpyVIP.toggle_object_mode()
      • PredictpyVIP.violin()
    • PyVIPMetaClass
    • serialization_wrapper()
• store_interface
  • StoreInterface
    • StoreInterface.create_element_link()
    • StoreInterface.create_future_element()
    • StoreInterface.db_to_pandas()
    • StoreInterface.get_asset()
    • StoreInterface.get_asset_by_id()
    • StoreInterface.get_assets()
    • 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_flow_status()
    • 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.has_input()
    • StoreInterface.list_fixture_data()
    • StoreInterface.pandas_to_db()
    • StoreInterface.save_asset()
    • StoreInterface.save_output()
    • StoreInterface.str_2_connection_type()
    • StoreInterface.update_page()
    • StoreInterface.update_progress()
• tools
  • monitoring
    • cprofile_decorator()
    • create_monitoring_store()
    • get_monitoring_store()
    • time_benchmark()
    • write_cprofile_record()
• utils
  • asset
    • Asset
      • Asset.add_engineer_notes()
      • Asset.add_notes()
      • Asset.add_user_notes()
      • Asset.from_bytes()
      • Asset.from_pickle()
      • Asset.get_object()
      • Asset.link_asset()
      • Asset.set_description()
      • Asset.set_time_to_live()
      • Asset.to_bytes()
    • AssetType
      • AssetType.DATASET
      • AssetType.EXPLAINER
      • AssetType.KNOWLEDGE_GRAPH
      • AssetType.MODEL
      • AssetType.NLPROCESSOR
      • AssetType.OTHER
      • AssetType.SCHEMA
  • csv_utils
  • date_time
    • create_cron_description()
    • create_date_range_data_frame()
    • cron_string_from_kwargs()
    • get_unix_ms_series()
  • image_utils
    • generete_self_hosted_image_url()
  • json_utils
    • df_to_json_friendly_dict()
    • to_json()
  • misc
    • StepProgressTqdm
      • StepProgressTqdm.update()
  • s3
    • create_buckets()
    • read_data_from_s3()
    • read_data_from_s3_using_aws_credentials()
    • read_data_from_s3_using_aws_profile()
    • read_data_from_s3_using_connection_store()
    • write_data_to_s3()
    • write_data_to_s3_using_aws_credentials()
    • write_data_to_s3_using_aws_profile()
    • write_data_to_s3_using_connection_store()
  • util
    • ExtendedEnum
      • ExtendedEnum.check_valid_enum()
      • ExtendedEnum.get_valid_enums()
      • ExtendedEnum.validate()
    • fig_to_img()
    • generate_id()
    • get_ends()
    • get_next_key()
    • get_package_from_obj()
    • get_previous_key()
    • is_backend()
    • is_multiple()
    • quiet_error()
    • read_timestamp()
    • ssf_decode()
    • ssf_encode()
    • timef()
    • timestamp()
    • validate_flow_metadata()
  • validation_utils
    • convert_values()
    • one_hot_encodings()
    • one_hot_to_ordinal()
    • ordinal_to_one_hot()
    • verbose_encodings()
  • viz_utils
    • Plot Creation Methods
      • create_bar_plot()
      • create_histogram_plot()
      • create_line_plot()
      • create_plot()
      • create_scatter_plot()
  • xai_utils
    • data_percentile()
    • dataset_stats()
    • idx_pick_extreme()
    • idx_pick_percentile()
    • importance_string()
    • list_to_string()
    • make_ordinal()
    • model_stats()
    • quantile_bin()
• validation
  • dataset
    • DataEncoding
      • DataEncoding.ONE_HOT
      • DataEncoding.ORDINAL
      • DataEncoding.VERBOSE
    • Dataset
      • Dataset.check_valid_encoding()
      • Dataset.convert_dtypes()
      • Dataset.convert_encoding()
      • Dataset.filter_data()
      • Dataset.from_csv()
      • Dataset.from_excel()
      • Dataset.from_json()
      • Dataset.get_as_encoding()
      • Dataset.get_categorical_names()