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get_global_plots()
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Internal function for calculating global plots |
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get_local_plots()
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Internal function for calculating local plots for all observations |
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get_dataset_plots()
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Internal function for calculating exploratory data anaylysis plots |
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get_feature_importance()
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Internal function for calculating feature importance |
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get_accumulated_dependence()
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Internal function for calculating Accumulated Dependence |
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get_break_down()
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Internal function for calculating Break Down |
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get_shap_values()
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Internal function for calculating Shapley Values |
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get_ceteris_paribus()
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Internal function for calculating Ceteris Paribus |
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get_funnel_measure()
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Internal function for calculating funnel measure |
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get_metrics()
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Internal function for calculating model performance metrics |
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get_partial_dependence()
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Internal function for calculating Partial Dependence |
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get_rec()
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Internal function for calculating regression error characteristic |
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get_roc()
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Internal function for calculating receiver operating curve |
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get_fairness()
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Internal function for calculating fairness |
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get_message_output()
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Internal function for returning message as plot data |
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get_subsets_performance()
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Internal function for calculating subset performance |
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get_variable_against_another()
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Internal function for variable against another plot |
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get_variable_distribution()
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Internal function for variable distribution |
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get_json_structure()
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Prepare object ready to change into json |
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get_observations_list()
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Generates list of rownames of each observation from each batch |
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get_variables_list()
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Generates list of unique variables(without target) from each explainer and dataset |
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get_datasets_list()
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Generates list of datasets' labels |
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validate_new_model()
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Checks if it is safe do add a new model to the arena object |
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validate_new_observations()
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Checks if it is safe do add new observations to the arena object |
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validate_new_dataset()
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Checks if it is safe do add new dataset to the arena object |
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calculate_subsets_performance()
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Internal function for calculating data for funnel plot |
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split_multiclass_explainer()
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Splits multiclass explainer into multiple classification explainers |
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truncate_vector()
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Internal function for pretty truncationg params list |
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get_attributes()
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Returns attributes for all params |
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get_dataset_attributes()
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Generates list with attributes of a dataset |
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get_model_attributes()
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Generates list with attributes of a model |
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get_observation_attributes()
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Generates list with attributes of an observation |
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get_variable_attributes()
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Generates list with attributes of an variable |