{
  "_id": "6a181ef6acfb0bcc41db1b40",
  "Package": "pmml",
  "Type": "Package",
  "Title": "Generate PMML for Various Models",
  "Version": "2.6.0-1",
  "Date": "2026-xx-xx",
  "Authors@R": "c(\nperson(\"Michael\", \"Hahsler\", email = \"mhahsler@lyle.smu.edu\", role = c(\"aut\", \"cre\")),\nperson(\"Bruno\", \"Rodrigues\", role = \"aut\"),\nperson(\"Dmitriy\", \"Bolotov\", email = \"dmitriy.bolotov@softwareag.com\", role = \"aut\"),\nperson(\"Tridivesh\", \"Jena\", email = \"tridivesh.jena@softwareag.com\", role = \"aut\"),\nperson(\"Graham\", \"Williams\", email = \"graham.williams@togaware.net\", role = \"aut\"),\nperson(\"Wen-Ching\", \"Lin\", role = \"aut\"),\nperson(\"Hemant\", \"Ishwaran\", role = \"aut\"),\nperson(\"Udaya B.\", \"Kogalur\", role = \"aut\"),\nperson(\"Rajarshi\", \"Guha\", email = \"rguha@indiana.edu\", role = \"aut\"),\nperson(\"Software AG\", role = c(\"cph\")))",
  "License": "GPL-3 | file LICENSE",
  "Description": "The Predictive Model Markup Language (PMML) is an\nXML-based language which provides a way for applications to\ndefine machine learning, statistical and data mining models and\nto share models between PMML compliant applications. More\ninformation about the PMML industry standard and the Data\nMining Group can be found at <https://dmg.org/>. The generated\nPMML can be imported into any PMML consuming application, such\nas Zementis Predictive Analytics products.",
  "URL": "https://github.com/mhahsler/r-pmml",
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  "Repository": "https://mhahsler.r-universe.dev",
  "Date/Publication": "2026-03-28 23:37:49 UTC",
  "RemoteUrl": "https://github.com/mhahsler/r-pmml",
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  "Packaged": {
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  "Author": "Michael Hahsler [aut, cre],\nBruno Rodrigues [aut],\nDmitriy Bolotov [aut],\nTridivesh Jena [aut],\nGraham Williams [aut],\nWen-Ching Lin [aut],\nHemant Ishwaran [aut],\nUdaya B. Kogalur [aut],\nRajarshi Guha [aut],\nSoftware AG [cph]",
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      "date": "2018-07-06"
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      "version": "1.5.6",
      "date": "2018-10-08"
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      "date": "2019-01-25"
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    {
      "version": "2.0.0",
      "date": "2019-06-03"
    },
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      "version": "2.1.0",
      "date": "2019-09-13"
    },
    {
      "version": "2.2.0",
      "date": "2020-01-11"
    },
    {
      "version": "2.3.0",
      "date": "2020-03-18"
    },
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      "date": "2021-11-06"
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  ],
  "_exports": [
    "add_attributes",
    "add_data_field_attributes",
    "add_data_field_children",
    "add_mining_field_attributes",
    "add_output_field",
    "file_to_xml_node",
    "function_to_pmml",
    "make_intervals",
    "make_output_nodes",
    "make_values",
    "pmml",
    "pmml.ada",
    "pmml.ARIMA",
    "pmml.coxph",
    "pmml.cv.glmnet",
    "pmml.gbm",
    "pmml.glm",
    "pmml.hclust",
    "pmml.iForest",
    "pmml.itemsets",
    "pmml.kmeans",
    "pmml.ksvm",
    "pmml.lm",
    "pmml.multinom",
    "pmml.naiveBayes",
    "pmml.neighbr",
    "pmml.nnet",
    "pmml.randomForest",
    "pmml.rpart",
    "pmml.rules",
    "pmml.svm",
    "pmml.xgb.Booster",
    "rename_wrap_var",
    "save_pmml",
    "xform_discretize",
    "xform_function",
    "xform_map",
    "xform_min_max",
    "xform_norm_discrete",
    "xform_wrap",
    "xform_z_score"
  ],
  "_datasets": [
    {
      "name": "audit",
      "title": "Audit: artificially constructed dataset",
      "object": "audit",
      "file": "audit.RData",
      "class": [
        "data.frame"
      ],
      "fields": [
        "ID",
        "Age",
        "Employment",
        "Education",
        "Marital",
        "Occupation",
        "Income",
        "Sex",
        "Deductions",
        "Hours",
        "Accounts",
        "Adjustment",
        "Adjusted"
      ],
      "rows": 1899,
      "table": true,
      "tojson": true
    },
    {
      "name": "houseVotes84",
      "title": "Modified 1984 United States Congressional Voting Records Database",
      "object": "houseVotes84",
      "file": "houseVotes84.rda",
      "class": [
        "data.frame"
      ],
      "fields": [
        "Class",
        "V1",
        "V2",
        "V3",
        "V4",
        "V5",
        "V6",
        "V7",
        "V8",
        "V9",
        "V10",
        "V11",
        "V12",
        "V13",
        "V14",
        "V15",
        "V16"
      ],
      "rows": 435,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "add_attributes",
      "title": "Add attribute values to an existing element in a given PMML file.",
      "topics": [
        "add_attributes"
      ]
    },
    {
      "page": "add_data_field_attributes",
      "title": "Add attribute values to an existing DataField element in a given PMML file",
      "topics": [
        "add_data_field_attributes"
      ]
    },
    {
      "page": "add_data_field_children",
      "title": "Add 'Interval' and 'Value' child elements to a given DataField element in a given PMML file.",
      "topics": [
        "add_data_field_children"
      ]
    },
    {
      "page": "add_mining_field_attributes",
      "title": "Add attribute values to an existing MiningField element in a given PMML file.",
      "topics": [
        "add_mining_field_attributes"
      ]
    },
    {
      "page": "add_output_field",
      "title": "Add Output nodes to a PMML object.",
      "topics": [
        "add_output_field"
      ]
    },
    {
      "page": "audit",
      "title": "Audit: artificially constructed dataset",
      "topics": [
        "audit"
      ]
    },
    {
      "page": "file_to_xml_node",
      "title": "Read in a file and parse it into an object of type XMLNode.",
      "topics": [
        "file_to_xml_node"
      ]
    },
    {
      "page": "function_to_pmml",
      "title": "Convert an R expression to PMML.",
      "topics": [
        "function_to_pmml"
      ]
    },
    {
      "page": "houseVotes84",
      "title": "Modified 1984 United States Congressional Voting Records Database",
      "topics": [
        "houseVotes84"
      ]
    },
    {
      "page": "make_intervals",
      "title": "Create Interval elements, most likely to add to a DataDictionary element.",
      "topics": [
        "make_intervals"
      ]
    },
    {
      "page": "make_output_nodes",
      "title": "Add Output nodes to a PMML object.",
      "topics": [
        "make_output_nodes"
      ]
    },
    {
      "page": "make_values",
      "title": "Create Values element, most likely to add to a DataDictionary element.",
      "topics": [
        "make_values"
      ]
    },
    {
      "page": "pmml",
      "title": "Generate the PMML representation for R objects.",
      "topics": [
        "pmml"
      ]
    },
    {
      "page": "pmml.ada",
      "title": "Generate the PMML representation for an ada object from the package 'ada'.",
      "topics": [
        "pmml.ada"
      ]
    },
    {
      "page": "pmml.ARIMA",
      "title": "Generate PMML for an ARIMA object the *forecast* package.",
      "topics": [
        "pmml.ARIMA"
      ]
    },
    {
      "page": "pmml.coxph",
      "title": "Generate the PMML representation for a coxph object from the package 'survival'.",
      "topics": [
        "pmml.coxph"
      ]
    },
    {
      "page": "pmml.cv.glmnet",
      "title": "Generate the PMML representation for a cv.glmnet object from the package 'glmnet'.",
      "topics": [
        "pmml.cv.glmnet"
      ]
    },
    {
      "page": "pmml.gbm",
      "title": "Generate the PMML representation for a gbm object from the package 'gbm'.",
      "topics": [
        "pmml.gbm"
      ]
    },
    {
      "page": "pmml.glm",
      "title": "Generate the PMML representation for a glm object from the package 'stats'.",
      "topics": [
        "pmml.glm"
      ]
    },
    {
      "page": "pmml.hclust",
      "title": "Generate the PMML representation for a hclust object from the package 'amap'.",
      "topics": [
        "pmml.hclust"
      ]
    },
    {
      "page": "pmml.iForest",
      "title": "Generate PMML for an iForest object from the *isofor* package.",
      "topics": [
        "pmml.iForest"
      ]
    },
    {
      "page": "pmml.kmeans",
      "title": "Generate the PMML representation for a kmeans object from the package 'stats'.",
      "topics": [
        "pmml.kmeans"
      ]
    },
    {
      "page": "pmml.ksvm",
      "title": "Generate the PMML representation for a ksvm object from the package 'kernlab'.",
      "topics": [
        "pmml.ksvm"
      ]
    },
    {
      "page": "pmml.lm",
      "title": "Generate the PMML representation for an lm object from the package 'stats'.",
      "topics": [
        "pmml.lm"
      ]
    },
    {
      "page": "pmml.multinom",
      "title": "Generate the PMML representation for a multinom object from package 'nnet'.",
      "topics": [
        "pmml.multinom"
      ]
    },
    {
      "page": "pmml.naiveBayes",
      "title": "Generate the PMML representation for a naiveBayes object from the package 'e1071'.",
      "topics": [
        "pmml.naiveBayes"
      ]
    },
    {
      "page": "pmml.neighbr",
      "title": "Generate PMML for a neighbr object from the *neighbr* package.",
      "topics": [
        "pmml.neighbr"
      ]
    },
    {
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      "topics": [
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  "_readme": "https://github.com/mhahsler/r-pmml/raw/HEAD/README.md",
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      "filename": "xform_function.html",
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      "engine": "knitr::rmarkdown",
      "headings": [
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        "Single numeric input",
        "Single categorical input",
        "Multiple input fields",
        "Using a previously derived feature",
        "Factor output",
        "PMML functions supported by xform_function",
        "PMML functions not supported by xform_function",
        "PMML function not supported by xform_function - another example",
        "PMML for arbitrary functions",
        "More notes on functions",
        "More examples of functions",
        "References"
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      "created": "2019-05-29 22:55:02",
      "modified": "2026-03-26 18:56:53",
      "commits": 9
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    {
      "source": "packages_and_functions.Rmd",
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      "headings": [
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        "Supported packages",
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        "References"
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