Package: pmml 2.5.2
pmml: Generate PMML for Various Models
The Predictive Model Markup Language (PMML) is an XML-based language which provides a way for applications to define machine learning, statistical and data mining models and to share models between PMML compliant applications. More information about the PMML industry standard and the Data Mining Group can be found at <http://dmg.org/>. The generated PMML can be imported into any PMML consuming application, such as Zementis Predictive Analytics products. The package isofor (used for anomaly detection) can be installed with devtools::install_github("gravesee/isofor").
Authors:
pmml_2.5.2.tar.gz
pmml_2.5.2.zip(r-4.5)pmml_2.5.2.zip(r-4.4)pmml_2.5.2.zip(r-4.3)
pmml_2.5.2.tgz(r-4.4-any)pmml_2.5.2.tgz(r-4.3-any)
pmml_2.5.2.tar.gz(r-4.5-noble)pmml_2.5.2.tar.gz(r-4.4-noble)
pmml_2.5.2.tgz(r-4.4-emscripten)pmml_2.5.2.tgz(r-4.3-emscripten)
pmml.pdf |pmml.html✨
pmml/json (API)
NEWS
# Install 'pmml' in R: |
install.packages('pmml', repos = c('https://cumulocity-iot.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/softwareag/r-pmml/issues
- audit - Audit: artificially constructed dataset
- houseVotes84 - Modified 1984 United States Congressional Voting Records Database
Last updated 3 years agofrom:9daa76510c. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 29 2024 |
R-4.5-win | OK | Oct 29 2024 |
R-4.5-linux | OK | Oct 29 2024 |
R-4.4-win | OK | Oct 29 2024 |
R-4.4-mac | OK | Oct 29 2024 |
R-4.3-win | OK | Oct 29 2024 |
R-4.3-mac | OK | Oct 29 2024 |
Exports:add_attributesadd_data_field_attributesadd_data_field_childrenadd_mining_field_attributesadd_output_fieldfile_to_xml_nodefunction_to_pmmlmake_intervalsmake_output_nodesmake_valuespmmlpmml.adapmml.ARIMApmml.coxphpmml.cv.glmnetpmml.gbmpmml.glmpmml.hclustpmml.iForestpmml.itemsetspmml.kmeanspmml.ksvmpmml.lmpmml.multinompmml.naiveBayespmml.neighbrpmml.nnetpmml.randomForestpmml.rpartpmml.rulespmml.svmpmml.xgb.Boosterrename_wrap_varsave_pmmlxform_discretizexform_functionxform_mapxform_min_maxxform_norm_discretexform_wrapxform_z_score
Dependencies:cligluelifecyclemagrittrrlangstringistringrvctrsXML