v2.1.0

pmml 2.1.0

Major Changes

• Package now exports PMML with schema version 4.4.

• pmml.ARIMA() function added - exports ARIMA time series models from the forecast package with conditional least squares forecasting.

Breaking Changes

• pmml.svm() now has a detect_anomaly argument, allowing the user to specify whether the PMML detects anomalies or inliers. The exported PMML now has two OutputField elements: anomalyScore and one of anomaly or inlier.

• The following arguments are deprecated. They can still be used, but will produce a warning message and will be removed in a future release.

  • pmml.iForest: anomalyThreshold -> anomaly_threshold
  • pmml.kmeans: algorithm.name -> algorithm_name
  • rename_wrap_var: wrap_data -> wrap_object
  • xform_norm_discrete: inputVar -> input_var

Other Changes

• Application version in PMML Header corresponds to pmml package version.

• pmml.iForest now uses attribute sampleDataSize instead of element ParameterList to store the model$phi value.

• pmml.gbm now adds modelName attribute to the final segment for multinomial gbm models.

• testthat file names correspond to the functions being tested.

• Edited make_output_nodes doc for clarity.

• Updated formatting in vignettes.

• Fixed spelling and added word list via spelling package.