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arenar (version 0.2.0)

Arena for the Exploration and Comparison of any ML Models

Description

Generates data for challenging machine learning models in 'Arena' - an interactive web application. You can start the server with XAI (Explainable Artificial Intelligence) plots to be generated on-demand or precalculate and auto-upload data file beside shareable 'Arena' URL.

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Version

Install

install.packages('arenar')

Monthly Downloads

240

Version

0.2.0

License

GPL-3

Issues

Pull Requests

Stars

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Repository

https://github.com/ModelOriented/ArenaR

Homepage

https://arenar.drwhy.ai

Maintainer

Piotr Pi<c4><85>tyszek

Last Published

October 1st, 2020

Functions in arenar (0.2.0)

get_ceteris_paribus

Internal function for calculating Ceteris Paribus

Returns attributes for all params

calculate_subsets_performance

Internal function for calculating data for funnel plot

Creates arena object

Internal function for calculating Break Down

get_accumulated_dependence

Internal function for calculating Accumulated Dependence

get_dataset_attributes

Generates list with attributes of a dataset

get_datasets_list

Generates list of datasets' labels

Internal function for calculating fairness

get_global_plots

Internal function for calculating global plots

get_feature_importance

Internal function for calculating feature importance

get_subsets_performance

Internal function for calculating subset performance

validate_new_model

Checks if it is safe do add a new model to the arena object

get_funnel_measure

Internal function for calculating funnel measure

validate_new_observations

Checks if it is safe do add new observations to the arena object

get_variable_against_another

Internal function for variable against another plot

Internal function for calculating regression error characteristic

get_partial_dependence

Internal function for calculating Partial Dependence

truncate_vector

Internal function for pretty truncationg params list

split_multiclass_explainer

Splits multiclass explainer into multiple classification explainers

get_observation_attributes

Generates list with attributes of an observation

get_json_structure

Prepare object ready to change into json

get_dataset_plots

Internal function for calculating exploratory data anaylysis plots

get_variables_list

Generates list of unique variables(without target) from each explainer and dataset

print.arena_live

Prints live arena summary

get_observations_list

Generates list of rownames of each observation from each batch

Run server providing data for live Arena

Save generated json file from static arena

get_model_attributes

Generates list with attributes of a model

validate_new_dataset

Checks if it is safe do add new dataset to the arena object

Upload generated json file from static arena

Internal function for calculating model performance metrics

get_shap_values

Internal function for calculating Shapley Values

Internal function for calculating receiver operating curve

Adds new datasets to Arena

print.arena_static

Prints static arena summary

get_local_plots

Internal function for calculating local plots for all observations

get_message_output

Internal function for returning message as plot data

get_variable_attributes

Generates list with attributes of an variable

Adds model to arena

get_variable_distribution

Internal function for variable distribution

push_observations

Adds new observations to arena