{ "_id": "6a18000bacfb0bcc41dab9da", "Package": "ingredients", "Title": "Effects and Importances of Model Ingredients", "Version": "2.3.1", "Authors@R": "c(person(\"Przemyslaw\", \"Biecek\", email = \"przemyslaw.biecek@gmail.com\",\nrole = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0001-8423-1823\")),\nperson(\"Hubert\", \"Baniecki\", role = \"aut\",\ncomment = c(ORCID = \"0000-0001-6661-5364\")),\nperson(\"Adam\", \"Izdebski\", role = \"ctb\"))", "Description": "Collection of tools for assessment of feature importance\nand feature effects. Key functions are: feature_importance()\nfor assessment of global level feature importance,\nceteris_paribus() for calculation of the what-if plots,\npartial_dependence() for partial dependence plots,\nconditional_dependence() for conditional dependence plots,\naccumulated_dependence() for accumulated local effects plots,\naggregate_profiles() and cluster_profiles() for aggregation of\nceteris paribus profiles, generic print() and plot() for better\nusability of selected explainers, generic plotD3() for\ninteractive, D3 based explanations, and generic describe() for\nexplanations in natural language. The package 'ingredients' is\na part of the 'DrWhy.AI' universe (Biecek 2018)\n.", "License": "GPL-3", "Encoding": "UTF-8", "RoxygenNote": "7.2.3", "URL": "https://ModelOriented.github.io/ingredients/,\nhttps://github.com/ModelOriented/ingredients", "BugReports": "https://github.com/ModelOriented/ingredients/issues", "VignetteBuilder": "knitr", "Repository": "https://modeloriented.r-universe.dev", "Date/Publication": "2023-03-15 21:16:09 UTC", "RemoteUrl": "https://github.com/modeloriented/ingredients", "RemoteRef": "HEAD", "RemoteSha": "d405a01b391731513f890db03e4949056679a009", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-28 08:35:40 UTC", "User": "root" }, "Author": "Przemyslaw Biecek [aut, cre] (ORCID:\n),\nHubert Baniecki [aut] (ORCID: ),\nAdam Izdebski [ctb]", "Maintainer": "Przemyslaw Biecek ", "MD5sum": "aa077cb4ffbdfacb0b8381bface0856a", "_user": "modeloriented", "_type": "src", "_file": "ingredients_2.3.1.tar.gz", "_fileid": 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f470918aae80877202c93b3a9e861409f1cbb77f.", "time": 1678914969 }, "_maintainer": { "name": "Przemyslaw Biecek", "email": "przemyslaw.biecek@gmail.com", "login": "pbiecek", "orcid": "0000-0001-8423-1823", "twitter": "@PrzeBiec", "description": "I just like to make things. \nhttps://mi2.ai/", "uuid": 4624318 }, "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 3.5", "role": "Depends" }, { "package": "ggplot2", "role": "Imports" }, { "package": "scales", "role": "Imports" }, { "package": "gridExtra", "role": "Imports" }, { "package": "methods", "role": "Imports" }, { "package": "DALEX", "version": ">= 2.4.3", "role": "Suggests" }, { "package": "gower", "role": "Suggests" }, { "package": "ranger", "role": "Suggests" }, { "package": "testthat", "role": "Suggests" }, { "package": "r2d3", "role": "Suggests" }, { "package": "jsonlite", "role": "Suggests" }, { "package": "knitr", "role": "Suggests" }, { "package": "rmarkdown", "role": "Suggests" }, { "package": "covr", 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"accumulated_dependence", "title": "Accumulated Local Effects Profiles aka ALEPlots", "topics": [ "accumulated_dependence", "accumulated_dependence.ceteris_paribus_explainer", "accumulated_dependence.default", "accumulated_dependence.explainer", "accumulated_dependency" ] }, { "page": "aggregate_profiles", "title": "Aggregates Ceteris Paribus Profiles", "topics": [ "aggregate_profiles" ] }, { "page": "bind_plots", "title": "Bind Multiple ggplot Objects", "topics": [ "bind_plots" ] }, { "page": "calculate_oscillations", "title": "Calculate Oscillations for Ceteris Paribus Explainer", "topics": [ "calculate_oscillations" ] }, { "page": "calculate_variable_profile", "title": "Internal Function for Individual Variable Profiles", "topics": [ "calculate_variable_profile", "calculate_variable_profile.default" ] }, { "page": "calculate_variable_split", "title": "Internal Function for Split Points for Selected Variables", "topics": [ "calculate_variable_split", "calculate_variable_split.default" ] }, { "page": "ceteris_paribus", "title": "Ceteris Paribus Profiles aka Individual Variable Profiles", "topics": [ "ceteris_paribus", "ceteris_paribus.default", "ceteris_paribus.explainer" ] }, { "page": "ceteris_paribus_2d", "title": "Ceteris Paribus 2D Plot", "topics": [ "ceteris_paribus_2d" ] }, { "page": "cluster_profiles", "title": "Cluster Ceteris Paribus Profiles", "topics": [ "cluster_profiles" ] }, { "page": "conditional_dependence", "title": "Conditional Dependence Profiles", "topics": [ "conditional_dependence", "conditional_dependence.ceteris_paribus_explainer", "conditional_dependence.default", "conditional_dependence.explainer", "conditional_dependency", "local_dependency" ] }, { "page": "describe", "title": "Natural language description of feature importance explainer", "topics": [ "describe", "describe.ceteris_paribus_explainer", "describe.feature_importance_explainer", "describe.partial_dependence_explainer" ] }, { "page": 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"plot.feature_importance_explainer", "title": "Plots Feature Importance", "topics": [ "plot.feature_importance_explainer" ] }, { "page": "plotD3_ceteris_paribus", "title": "Plots Ceteris Paribus Profiles in D3 with r2d3 Package.", "topics": [ "plotD3", "plotD3.ceteris_paribus_explainer" ] }, { "page": "plotD3_aggregated_profiles", "title": "Plots Aggregated Ceteris Paribus Profiles in D3 with r2d3 Package.", "topics": [ "plotD3.aggregated_profiles_explainer" ] }, { "page": "plotD3_feature_importance", "title": "Plot Feature Importance Objects in D3 with r2d3 Package.", "topics": [ "plotD3.feature_importance_explainer" ] }, { "page": "print.aggregated_profiles_explainer", "title": "Prints Aggregated Profiles", "topics": [ "print.aggregated_profiles_explainer" ] }, { "page": "print.ceteris_paribus_explainer", "title": "Prints Individual Variable Explainer Summary", "topics": [ "print.ceteris_paribus_explainer" ] }, { "page": "print.feature_importance_explainer", "title": "Print Generic 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