PMML 4.1 - Changes from PMML 4.0
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Conformance

Interoperability

General Structure

Field Scope

Header

Data
Dictionary


Mining
Schema


Transformations

Statistics

Taxomony

Targets

Output

Functions

Built-in Functions

Model Verification

Model Explanation

Multiple Models

Association Rules

Baseline Models

Cluster
Models


General
Regression


k-Nearest
Neighbors


Naive
Bayes


Neural
Network


Regression

Ruleset

Scorecard

Sequences

Text Models

Time Series

Trees

Vector Machine

PMML 4.1 - Changes from PMML 4.0



Associations

  • Clarified the meaning of the 'numberOfItems' attribute in AssociationModel element
  • Clarified that Itemset elements must appear before AssociationRule elements
  • Added 'isScorable' attribute
  • Added 'leverage' and 'affinity' attributes to the AssociationRule element
  • Association Rules models can now contain the ModelVerification element
  • Added a helpful diagram
  • Changed version to "4.1" from "4.0" in the example(s)

BaselineModel

  • New addition to PMML 4.1 to support change detection models

BuiltinFunctions

  • Defined pow(0,0) to be one
  • Added built-in functions median, product, and lowercase
  • Clarified the result of the if function if no else case is present

ClusteringModel

  • Clarified that clusters are identified by an implicit index
  • Added attribute "id" for clusters to support identifiers other than the implicit 1-based index identifiers. The value of this attribute is used as the output value for "predicted Value."
  • Added 'isScorable' attribute
  • Changed version to "4.1" from "4.0" in the example(s)

Conformance

  • Added information about how deprecation is handled in PMML
  • Changed all version references from "4.0" to "4.1"

DataDictionary

  • The DataField element can now contain both Interval and Value elements instead of just one

FieldScope

  • New document added to collect all the rules governing field scope and field names that were previously scattered over several documents

Functions

  • Added 'mapMissingTo' and 'invalidValueTreatment' attributes to the Apply element

GeneralRegression

  • Added 'isScorable' attribute
  • Added Categories element for specifying a contrast matrix
  • Clarified the 'targetVariableName' attribute
  • Changed version to "4.1" from "4.0" in the example(s)

GeneralStructure

  • Added section explaining non-scoring models
  • Added the 'mixed' mining function
  • The rules about names of fields have been moved to the new field scope document
  • Updated the XML namespace to "http://www.dmg.org/PMML-4_1" from "http://www.dmg.org/PMML-4_0"

Header

  • Made 'copyright' attribute optional
  • Added recommendation for the format of the 'timestamp' attribute

Interoperability

  • No changes

KNN

  • New addition to PMML 4.1 to support k-Nearest Neighbors models

MiningSchema

  • Mining fields with usage type of order can now be used for time series models
  • Mining fields are no longer required to refer to data fields, and the rules regarding the fields that mining fields can reference have been clarified in the FieldScope document
  • The MiningSchema is the Gate Keeper

ModelExplanation

  • Corrected the correlation example
  • Added 'rootMeanSquaredError', 'adj-r-squared', 'sumSquaredError', 'sumSquaredRegression', 'numOfRecords', 'numOfPredictors', 'degreesOfFreedom', 'fStatistic', 'AIC', 'BIC' and 'AICc' attributes to the PredictiveModelQuality element

ModelVerification

  • Added support for zero-length strings in model verification records
  • Added an explanation of how to use model verification with Association Rules models

MultipleModels

  • Mining model segments can now contain any models allowed at the top level of a PMML document
  • Model Composition using Regression and/or DecisionTree elements has been deprecated
  • Added 'modelChain' as a possible for the 'multipleModelMethod' attribute of the Segmentation element
  • Removed LocalTransformations as a possible child element of the Segmentation element
  • Added 'isScorable' attribute
  • Added a default value for the 'weight' attribute of Segment elements
  • Clarified how segments can be identified if the 'id' attribute is not present
  • Corrected the examples
  • Changed version to "4.1" from "4.0" in the example(s)

NaïveBayes

  • Added 'isScorable' attribute
  • Changed version to "4.1" from "4.0" in the example(s)

NeuralNetwork

  • Added 'isScorable' attribute
  • Changed version to "4.1" from "4.0" in the example(s)

Output

  • Clarified that clusters are identified by an implicit index
  • Output fields can now include post-processing transformations
  • Added the Decisions and Decision elements
  • Leverage and affinity have been added to the possible values for 'ruleFeature' and 'rankBasis'
  • Added 'segmentId' attribute to OutputField element
  • Added 'transformedValue', 'decision' and 'reasonCode' to the possible values for RESULT-FEATURE
  • Deprecated feature "clusterId". Feature "entityId" should be used instead
  • Deprecated features "clusterAffinity" and "entityAffinity". The new general feature "affinity" should be used instead

Regression

  • Clarified what to do if the input to a regression table predictor is missing
  • Added 'isScorable' attribute
  • Added 'name' attribute to PredictorTerm element
  • Revised how to compute the probability of a target value
  • Changed version to "4.1" from "4.0" in the example(s)

RuleSet

  • Added 'isScorable' attribute
  • Changed version to "4.1" from "4.0" in the example(s)

Scorecard

  • New addition to PMML 4.1 to support Scorecard models

Sequence

  • Added 'isScorable' attribute
  • Changed version to "4.1" from "4.0" in the example(s)

Statistics

  • Clarified what information should be in a UnivariateStats element
  • Added MultivariateStats element

SupportVectorMachine

  • Added 'isScorable' attribute
  • Changed version to "4.1" from "4.0" in the example(s)

Targets

  • No changes

Taxonomy

  • No changes

Text

  • Changed version to "4.1" from "4.0" in the example(s)

TimeSeriesModel

  • Added 'isScorable' attribute
  • Added support for ModelExplanation
  • Removed TimeException element as a possible child of TimeSeries element
  • Corrected spelling of "seconds" in values for the TIME-ANCHOR type
  • Replaced the Trend element with the Trend_ExpoSmooth element
  • Added support for general polynomial exponential smoothing
  • Changed version to "4.1" from "4.0" in the example(s)

Transformations

  • Added 'mapMissingTo' attribute to the FieldRef element
  • Most of the rules about names of DerivedField elements have been moved to the new field scope document

TreeModel

  • Added a minor clarification concerning the no true child strategy
  • Added 'isScorable' attribute
  • Added 'probability' attribute to the ScoreDistribution element
  • Changed version to "4.1" from "4.0" in the example(s)
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