Package: arenar 0.2.0

Piotr Piątyszek

arenar: Arena for the Exploration and Comparison of any ML Models

Generates data for challenging machine learning models in 'Arena' <https://arena.drwhy.ai> - 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.

Authors:Piotr Piątyszek [aut, cre], Przemyslaw Biecek [aut]

arenar_0.2.0.tar.gz
arenar_0.2.0.zip(r-4.7)arenar_0.2.0.zip(r-4.6)arenar_0.2.0.zip(r-4.5)
arenar_0.2.0.tgz(r-4.6-any)arenar_0.2.0.tgz(r-4.5-any)
arenar_0.2.0.tar.gz(r-4.7-any)arenar_0.2.0.tar.gz(r-4.6-any)
arenar_0.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
arenar/json (API)

# Install 'arenar' in R:
install.packages('arenar', repos = c('https://modeloriented.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/modeloriented/arenar/issues

Pkgdown/docs site:https://arenar.drwhy.ai

On CRAN:

Conda:

axplainable-artificial-intelligenceemaexplainabilityexplanatory-model-analysisimlinteractive-xaiinterpretabilityxai

6.02 score 31 stars 17 scripts 315 downloads 7 exports 88 dependencies

Last updated from:ee41adf479. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE157
source / vignettesOK283
linux-release-x86_64NOTE210
macos-release-arm64NOTE135
macos-oldrel-arm64NOTE123
windows-develNOTE116
windows-releaseNOTE129
windows-oldrelNOTE113
wasm-releaseOK131

Exports:create_arenapush_datasetpush_modelpush_observationsrun_serversave_arenaupload_arena

Dependencies:askpassassertthatauditorbase64encbslibcachemclicodetoolscpp11crayoncrulcurlDALEXdigestdoFuturedplyrevaluatefairmodelsfarverfastmapfontawesomeforeachfsfuturefuture.applygenericsggplot2ggrepelgistrglobalsgluegridExtragtablehighrhnphtmltoolshttpcodehttpuvhttriBreakDowningredientsisobanditeratorsjquerylibjsonlitekernelshapknitrlabelinglaterlifecyclelistenvmagrittrMASSmemoisemimeopensslotelparallellypatchworkpillarpkgconfigplumberpromisesR6rappdirsRColorBrewerRcpprlangrmarkdownS7sassscalessodiumstringiswaggersystibbletidyselecttinytextriebeardurltoolsutf8vctrsviridisLitewebutilswithrxfunyaml

Using Arena with multiclass classifiers
Preface | Load data & libraries | Models | Create Explainers & Arena | Make explainers manualy
Rendered fromclassification.Rmdusingknitr::rmarkdown

Last update: 2020-07-22
Started: 2020-04-03

Introduction to the Arena with the Titanic
Setup | Basic use of Arena - Single Model, Global Explanations | Train a model | Create an explainer | Create an Arena and add the model | Run the live Arena server | Intermediate use of Arena - Single Model, Global and Local Explanations | Add local explanations | Advanced use of Arena - Multiple Models, Global and Local Explanations | Create more models | Create explainers | Add more models to the Arena | Serverless version of the Arena
Rendered fromarena_intro_titanic.Rmdusingknitr::rmarkdown

Last update: 2020-05-22
Started: 2020-04-13

Live Arena
Setup | Prepare models | Run arena | Custom observation names | Appending data
Rendered fromarena_live.Rmdusingknitr::rmarkdown

Last update: 2020-04-13
Started: 2020-03-15

Static Arena
Setup | Prepare models | Prepare observations | Create arena | Appending data | New Arena session | Append to already existing session
Rendered fromarena_static.Rmdusingknitr::rmarkdown

Last update: 2020-04-13
Started: 2020-03-15

Readme and manuals

Help Manual

Help pageTopics
Internal function for calculating data for funnel plotcalculate_subsets_performance
Creates arena objectcreate_arena
Internal function for calculating Accumulated Dependenceget_accumulated_dependence
Returns attributes for all paramsget_attributes
Internal function for calculating Break Downget_break_down
Internal function for calculating Ceteris Paribusget_ceteris_paribus
Generates list with attributes of a datasetget_dataset_attributes
Internal function for calculating exploratory data anaylysis plotsget_dataset_plots
Generates list of datasets' labelsget_datasets_list
Internal function for calculating fairnessget_fairness
Internal function for calculating feature importanceget_feature_importance
Internal function for calculating funnel measureget_funnel_measure
Internal function for calculating global plotsget_global_plots
Prepare object ready to change into jsonget_json_structure
Internal function for calculating local plots for all observationsget_local_plots
Internal function for returning message as plot dataget_message_output
Internal function for calculating model performance metricsget_metrics
Generates list with attributes of a modelget_model_attributes
Generates list with attributes of an observationget_observation_attributes
Generates list of rownames of each observation from each batchget_observations_list
Internal function for calculating Partial Dependenceget_partial_dependence
Internal function for calculating regression error characteristicget_rec
Internal function for calculating receiver operating curveget_roc
Internal function for calculating Shapley Valuesget_shap_values
Internal function for calculating subset performanceget_subsets_performance
Internal function for variable against another plotget_variable_against_another
Generates list with attributes of an variableget_variable_attributes
Internal function for variable distributionget_variable_distribution
Generates list of unique variables(without target) from each explainer and datasetget_variables_list
Prints live arena summaryprint.arena_live
Prints static arena summaryprint.arena_static
Adds new datasets to Arenapush_dataset
Adds model to arenapush_model
Adds new observations to arenapush_observations
Run server providing data for live Arenarun_server
Save generated json file from static arenasave_arena
Splits multiclass explainer into multiple classification explainerssplit_multiclass_explainer
Internal function for pretty truncationg params listtruncate_vector
Upload generated json file from static arenaupload_arena
Checks if it is safe do add new dataset to the arena objectvalidate_new_dataset
Checks if it is safe do add a new model to the arena objectvalidate_new_model
Checks if it is safe do add new observations to the arena objectvalidate_new_observations