Package weka.core.pmml

Class MiningSchema

java.lang.Object
weka.core.pmml.MiningSchema
All Implemented Interfaces:
Serializable
public class MiningSchema extends Object implements Serializable
This class encapsulates the mining schema from a PMML xml file. Specifically, it contains the fields used in the PMML model as an Instances object (just the header). It also contains meta information such as value ranges and how to handle missing values, outliers etc. We also store various other PMML elements here, such as the TransformationDictionary, DerivedFields and Targets (if defined). They are not part of the mining schema per se, but relate to inputs used by the model and it is convenient to store them here.
Version:
$Revision: 8034 $
Author:
Mark Hall (mhall{[at]}pentaho{[dot]}com)
See Also:

  • Constructor Details

    • MiningSchema

      public MiningSchema(Element model, Instances dataDictionary, weka.core.pmml.TransformationDictionary transDict) throws Exception
      Constructor for MiningSchema.
      Parameters:
      model - the Element encapsulating the pmml model
      dataDictionary - the data dictionary as an Instances object
      Throws:
      Exception - if something goes wrong during construction of the mining schema

  • Method Details

    • applyMissingValuesTreatment

      public void applyMissingValuesTreatment(double[] values) throws Exception
      Apply the missing value treatments (if any) to an incoming instance.
      Parameters:
      values - an array of doubles in order of the fields in the mining schema that represents the incoming instance (note: use PMMLUtils.instanceToSchema() to generate this).
      Throws:
      Exception - if something goes wrong during missing value handling

    • applyOutlierTreatment

      public void applyOutlierTreatment(double[] values) throws Exception
      Apply the outlier treatment methods (if any) to an incoming instance.
      Parameters:
      values - an array of doubles in order of the fields in the mining schema that represents the incoming instance (note: use PMMLUtils.instanceToSchema() to generate this).
      Throws:
      Exception - if something goes wrong during outlier treatment handling

    • applyMissingAndOutlierTreatments

      public void applyMissingAndOutlierTreatments(double[] values) throws Exception
      Apply both missing and outlier treatments to an incoming instance.
      Parameters:
      values - an array of doubles in order of the fields in the mining schema that represents the incoming instance (note: use MappingInfo.instanceToSchema() to generate this).
      Throws:
      Exception - if something goes wrong during this process

    • getFieldsAsInstances

      public Instances getFieldsAsInstances()
      Get the all the fields (both mining schema and derived) as Instances. Attributes are in order of those in the mining schema, followed by derived attributes from the TransformationDictionary followed by derived attributes from LocalTransformations.
      Returns:
      all the fields as an Instances object

    • getMiningSchemaAsInstances

      public Instances getMiningSchemaAsInstances()
      Get the mining schema fields as an Instances object.
      Returns:
      the mining schema fields as an Instances object.

    • getTransformationDictionary

      public weka.core.pmml.TransformationDictionary getTransformationDictionary()
      Get the transformation dictionary .
      Returns:
      the transformation dictionary or null if none is defined.

    • hasTargetMetaData

      public boolean hasTargetMetaData()
      Returns true if there is Target meta data.
      Returns:
      true if there is Target meta data

    • getTargetMetaData

      public TargetMetaInfo getTargetMetaData()
      Get the Target meta data.
      Returns:
      the Target meta data

    • convertStringAttsToNominal

      public void convertStringAttsToNominal()
      Method to convert any string attributes in the mining schema Instances to nominal attributes. This may be necessary if there are no Value elements defined for categorical fields in the data dictionary. In this case, elements in the actual model definition will probably reveal the valid values for categorical fields.

    • convertNumericAttToNominal

      public void convertNumericAttToNominal(int index, ArrayList<String> newVals)
      Convert a numeric attribute in the mining schema to nominal.
      Parameters:
      index - the index of the attribute to convert
      newVals - an ArrayList of the values of the nominal attribute

    • getDerivedFields

      public ArrayList<DerivedFieldMetaInfo> getDerivedFields()

    • getMiningFields

      public ArrayList<MiningFieldMetaInfo> getMiningFields()

    • toString

      public String toString()
      Get a textual description of the mining schema.
      Overrides:
      toString in class Object
      Returns:
      a textual description of the mining schema